The document provides an overview of the key performance indicators (KPIs) for 6G wireless networks compared to 5G networks. Some of the major KPIs discussed for 6G include: achieving data rates of up to 1 Tbps and individual user data rates up to 100 Gbps; reducing latency below 10 milliseconds; supporting up to 10 million connected devices per square kilometer; improving spectral efficiency by up to 100 times through technologies like terahertz communications and smart surfaces; and achieving an energy efficiency of 1 pico-joule per bit transmitted through techniques like wireless power transmission and energy harvesting. The document outlines how 6G aims to integrate terrestrial, aerial and maritime communications into a single network to provide ubiquitous connectivity with higher
This document discusses cost-effective deployment of relay stations in WiMAX networks. It first outlines the costs associated with base stations and relay stations, including capital expenditures and operational expenditures. It then discusses challenges in planning relay station placement to both improve quality of service and reduce costs. Specifically, it examines dividing the network into zones based on signal strength and using different modulation and coding schemes in each zone. The goal is to determine optimal relay station locations and configurations to enhance network performance while minimizing overall deployment costs.
5G–“connect anytime, anywhere, anyhow” promising everywhere network access at high speed to the end users, has been a topic of great interest mainly for the wireless telecom industry. 5G seems to be the solution for the growing user necessities of wireless broadband access and the boundaries of the existing wireless communication system. The wireless industry is busy with the standardization of the 4th generation (4G) cellular networks. 4G wireless system cannot exist in today’s market without standardization. The 4G concept shave already moved to the standardization phase, we must begin to work on the structure blocks of the 5G wireless networks. The major difference, from a user point of view, between current generations and expected 5G techniques must be something else than increased maximum throughput; other requirements include low battery consumption, more secure. We refer to this goal as enabling the 4A’s paradigm i.e. Any rate, Anytime, Anywhere and Affordable. In particular, this paper focuses on the features such as broadband internet in mobile phones with a possibility to provide internet facility in the computer by just connecting the mobile and with a speed of 10Gbps and more. In 5G researches are being made on development of World Wide Wireless Web (WWWW), Dynamic Adhoc Wireless Networks (DAWN) and Real Wireless World.
Candidate solutions to improve Wireless Mesh Networks WMNs performance to mee...ijcseit
96% market share of existing Smart Grid network installations is wireless mesh networks [1]. The paper starts by justifying the selection of WMNs as opposed to any other communication technology based on quantifying the bandwidth/latency/QoS constraints of a number of Smart Grid applications. The main objective of this paper, however, is to discuss some optimization techniques that found in the literature and can be implemented to overcome some of the challenges currently being faced by WMNs deployment in Smart Grid’s NANs. Hybrid WMN (HWMN) is proposed as an optimization on the topology level to leverage WMNs convergence. Distributed Autonomous Data Routing DADR, multigate and diversity routing are optimizations on the protocol level to minimize the down time of WMNs. Cognitive Radio is investigated as an optimization on the physical level. The paper also explores the feasibility of using Wireless Software Defined Networks WSDN to improve the overall visibility and manageability of WMNs
Performance Analysis and Optimization of Next Generation Wireless NetworksUniversity of Piraeus
The Fifth Generation (5G) networks, including the 5G Vehicular Cloud Computing (5G-VCC) systems, have evolved rapidly offering multiple services to users. The operating principles of vehicular networks, Cloud Computing (CC), Fog Computing (FC), Mobile Edge Computing (MEC) and Software Defined Networks (SDN) are applied to 5G infrastructures. In a 5G-VCC system, the vehicles are equipped with On-Board Units (OBUs) which communicate with each other as well as with Road Side Units (RSUs). Each RSU interacts with a Cloud infrastructure which offers vehicular services with strict Quality of Service (QoS) requirements, including Driver Assistance (DA), Passengers Entertainment and Information (PEnI) and Medical (MED) services. Dense deployments of 5G access networks are also implemented, called Ultra Dense Networks (UDNs), aiming to support high data rates produced by an increased number of vehicular users. In this environment, heterogeneous technologies are used to transfer the network services to vehicles. Optimal manipulation of the communication resources is required, while at the same time vehicular users should always obtain connectivity to the most appropriate network access technology, in order the constraints of the vehicular services to be satisfied. In this thesis, existing schemes for resource allocation as well as for mobility management are studied, while novel solutions are proposed for each topic.
Akraino Ike Alisson 6G Architecture Themes Sensing Netw Core RAN Conv CF Cell...Ike Alisson
The document discusses several themes for 6G network architecture, including sensing networks through 3GPP PIoT and ETSI SAREF standards, 6G RAN and core network convergence, and cell-free solutions. It also references various documents from organizations like 3GPP, ETSI, Nokia, Samsung, and Ericsson that provide visions and research on 6G network technologies.
Evolution of millimeter-wave communications toward next generation in wireles...TELKOMNIKA JOURNAL
Next generation in wireless communication systems being deployed in the world, 5G/6G
mobile and wireless communication technologies has been widely studied. This work clarifies that
Millimeter-Wave (mm-Wave) is in its early stages and will be driven by consumers who keep on desire
higher information rates for the consumption of media. Millimeter-Wave innovation represents for next
generation cellular technology and includes a wide range of advanced features which make next
innovation most dominant technology in near future, these abilities incorporate high achievable information
rates in addition to lower delays and constant connectivity on wireless devices.
The document summarizes research on 5G mobile technologies that are expected to be operational by 2020. It discusses the key goals of 5G including high throughput, low latency, high reliability, increased scalability and energy efficiency. Several research groups working on 5G standards are mentioned, including METIS which published a final report outlining 5G architectures and technologies. The document also discusses developments toward 5G technologies, including network architectures using wireless backbone connectivity and base stations with high-bandwidth wired connections to accommodate many connected devices.
The document discusses the need to transform the existing power grid into a smart grid to address issues like poor monitoring, increasing energy demands, and high carbon footprints. It outlines several key priorities and technologies needed for smart grid development, including wide area situational awareness, advanced metering infrastructure, distributed grid management, demand response, electric storage, cyber security, electric transportation, and network communications standards. The goal is to create a modern, intelligent power grid that can efficiently transmit electricity from diverse energy sources to customers through a distributed architecture enabled by digital technologies and two-way communication networks.
5G wireless networks aim to support connections for at least 100 billion devices with speeds up to 10 GB/s while providing extremely low latency. Key concepts of 5G include supporting simultaneous connections across multiple access technologies, using cognitive radio to transfer data over multiple paths concurrently, and realizing a true integrated network consisting of heterogeneous tiers. Challenges include addressing high data volumes through techniques like massive MIMO and resolving issues like pilot contamination. 5G is expected to enable technologies like device-to-device communication, software defined cellular networks, and machine-to-machine communication to realize a wireless world with unlimited connectivity.
5G is the proposed next generation of mobile networks that aims to offer higher capacity and speed than current 4G networks. 5G research aims to support higher device densities, more reliable communications, and lower latency. Key goals for 5G include data rates of 100 megabits per second for metropolitan areas, 1 gigabit per second for many workers in an office, and reduced latency compared to 4G. Development of 5G standards is led by companies like Samsung, Intel, Nokia, Huawei, and Ericsson, with the first 5G networks expected in the early 2020s.
This e Book highlights perspectives on the new 5G technology , use cases , business models and its revolutionary impact on Telecom industry and society at large.
The document discusses concepts for 5G networks, including:
1. 5G aims to provide a unified system to support a wide range of use cases with enhanced connectivity, capacity, and low latency. It will build on LTE and introduce a new 5G radio and core network.
2. 5G will support enhanced mobile broadband, massive IoT connectivity, and ultra-reliable low latency communications. Initial deployments may use LTE and 5G networks together before standalone 5G is available.
3. The 5G new radio will provide flexible design to support different use cases and improve efficiency over LTE. It will integrate with existing LTE networks during early deployments.
Fifth generation (5G) Vehicular Cloud Computing (VCC) systems use heterogeneous network access technologies to
fulfill the requirements of modern services. Multiple services with dierent Quality of Service (QoS) constraints could be available in each vehicle, while at the same time, user requirements and provider policies must be addressed. Therefore, the design of ecient Vertical Handover (VHO) management schemes for 5G-VCC infrastructures is needed. In this paper, a novel VHO management scheme for 5G-VCC systems is proposed. Whenever the user satisfaction grade becomes less than a predefined threshold, VHO is initiated and network selection is performed, considering the velocity of the vehicle, network characteristic criteria such as throughput, delay, jitter and packet loss, as well as provider policy criteria such as service reliability, security and price. The proposed scheme uses linguistic values for VHO criteria attributes represented by Interval Valued Pentagonal Fuzzy Numbers (IVPFNs) to express the information using membership intervals. The VHO scheme is applied to a 5G-VCC system which includes 3GPP Long Term Evolution (LTE) and IEEE 802.16 Worldwide Interoperability for Microwave Access (WiMAX) Macrocells and Femtocells, as well as IEEE 802.11p Wireless Access for Vehicular Environment (WAVE) Road Side Units (RSUs). Performance evaluation shows that the suggested method ensures the Always Best Connection (ABC) principle, while at the same time outperforms existing VHO management schemes.
5G uplink interference simulations, analysis and solutions: The case of pico ...IJECEIAES
The launch of the new mobile network technology has paved the way for advanced and more productive industrial applications based on high-speed and low latency services offered by 5G. One of the key success points of the 5G network is the available diversity of cell deployment modes and the flexibility in radio resources allocation based on user’s needs. The concept of Pico cells will become the future of 5G as they increase the capacity and improve the network coverage at a low deployment cost. In addition, the short-range wireless transmission of this type of cells uses little energy and will allow dense applications for the internet of things. In this contribution, we present the advantages of using Pico cells and the characteristics of this type of cells in 5G networks. Then, we will do a simulation study of the interferences impact in uplink transmission in the case of PICO cells densified deployment. Finally, we will propose a solution for interference avoidance between pico cells that also allows flexible management of bands allocated to the users in uplink according to user’s density and bandwidth demand.
A Survey on new generation of wireless networksEditor IJMTER
If you think that 4G and LTE is the best thing and it's in the process of solving every
communication needs we have today, think again! Yes, LTE is good, but it can be a lot better. In fact,
get ready for this: the wireless industry is already starting to think 5G (5th generation) wireless
technology.
Architecture harmonization between cloud radio access network and fog networkredpel dot com
Architecture harmonization between cloud radio access network and fog network
for more ieee paper / full abstract / implementation , just visit www.redpel.com
Performance Evaluation of VEnodeb Using Virtualized Radio Resource ManagementJIEMS Akkalkuwa
This paper proposes implementing a virtualized eNodeB component called Radio Resource Management (RRM) to improve performance of cellular networks. The authors capture spectrum utilization data and develop an analytical model for call admission control. They implement a virtual RRM using SDN and NFV technologies and compare the performance to a traditional base station. Results show the virtual RRM can increase network utilization by 60% and reduce energy consumption by 33%, but is susceptible to violating service level agreements during spikes in network traffic due to its reactive nature. The work presents opportunities for future research using machine learning for predictive analysis and combining virtual RRM with cognitive cellular networks.
5G wireless networks will support massive connectivity and capacity increases to enable new technologies and applications between 2020 and 2030. 5G will realize ultra-fast and low latency connectivity for both people and devices through advanced wireless technologies built upon existing standards like LTE as well as new radio access technologies. Key technology drivers for 5G include developments in mobile broadband speeds, spectrum and infrastructure to support applications like smart cities, industrial automation, and virtual and augmented reality.
56_5G Wireless Communication Network Architecture and Its Key Enabling Techno...EdisonAndresZapataOc
The document summarizes a proposed 5G wireless communication network architecture with an indoor/outdoor segregated design using cloud-based radio access networks (C-RAN). It aims to address challenges of 4G like higher data rates and network capacity by leveraging emerging technologies like massive MIMO, device-to-device communication, visible light communication, ultra-dense networks, and millimeter wave technology, which would be managed by software defined networking/network function virtualization through the C-RAN. The new 5G architecture separates indoor and outdoor networks to avoid penetration losses associated with current designs and allow indoor users to connect to dedicated indoor access points for improved quality of experience.
IRJET- 5G Evolution & Innovation with its Applications for Future Wireless Ne...IRJET Journal
The document discusses 5G technology and its applications. It provides an overview of 5G including key enabling technologies like millimeter wave, small cells, carrier aggregation, and network slicing. 5G networks are expected to deliver significantly higher speeds and lower latency compared to 4G. The document outlines several potential applications of 5G including enabling smart city infrastructure, autonomous vehicles, and reshaping the broadband internet landscape through 5G fixed wireless access.
http://www.ericsson.com
Each decade since mobile communication was introduced in the 1980s, has brought with it a new generation of systems and technologies. The next evolution, 5G radio access, is set for commercialization around 2020, and will deliver 5G services in an environment that is shaping up to be a significant challenge.
State-of-the-Art Strategies and Research Challenges In Wireless Communication...ijwmn
The upcoming 6G communication network will revolutionize the scenario of customer services and related applications by building smart, autonomous systems. We first discuss here about 6G enabled smart applications like healthcare, smart city building, industrial IoTs, etc. We next provide a brief survey of the enabling technologies for achieving the required goals of 6G, such as terahertz communication, cell-free communication, holographic communication using beamforming, wireless power transfer, ultra-low latency communication, etc., with a view to tackle very large amounts of data traffic from several billions of smart interconnected devices while supporting ultra-low end-to-end communication latency. Finally, we present various research challenges involved in 6G communication towards building such smart systems.
State-of-the-Art Strategies and Research Challenges In Wireless Communication...ijwmn
The upcoming 6G communication network will revolutionize the scenario of customer services and related applications by building smart, autonomous
systems. We first discuss here about 6G enabled smart applications like healthcare, smart city building, industrial IoTs, etc. We next provide a brief survey of
the enabling technologies for achieving the required goals of 6G, such as terahertz
communication, cell-free communication, holographic communication using beamforming, wireless power transfer, ultra-low latency communication, etc., with a view
to tackle very large amounts of data traffic from several billions of smart interconnected devices while supporting ultra-low end-to-end communication latency. Finally, we present various research challenges involved in 6G communication towards
building such smart systems.
The document discusses key technology enablers for 5G networks, including 5G radio, ultra dense heterogeneous networks, mobile edge computing, network function virtualization, software defined networking, network slicing, and internet of things. The objectives of 5G include supporting peak data rates of 10Gbps, guaranteed rates of 50Mbps, latency of 1ms for radio access and 5ms end-to-end, high mobility up to 500km/hr, location accuracy of less than a meter, and connectivity for over 1 million devices per square kilometer. 5G aims to enable a wide range of new applications through these advanced capabilities.
Interesting Whitepaper from #HCLTECH, though a bit old (2016) but good for beginners on 5G and introductory know-how about 5G start with IMT2020. Informative insights.
Future European society and economy will strongly rely on 5G infrastructure.
The impact will go far beyond existing wireless access networks with the aim for communication services, reachable everywhere, all the time, and faster. 5G is an opportunity for the European ICT sector which is already well positioned in the global R&D race. 5G technologies will be adopted and deployed globally in alignment with developed and emerging markets’ needs.
5G is the 5th generation mobile network. It is a new global wireless standard after 1G, 2G, 3G, and 4G networks. 5G enables a new kind of network that is designed to connect virtually everyone and everything together including machines, objects, and devices.
A Novel Routing Strategy Towards Achieving Ultra-Low End-to-End Latency in 6G...IJCNCJournal
Compared to 5G, 6G networks will demand even more ambitious reduction in endto-end latency for packet communication. Recent attempts at breaking the barrier of end-to-end millisecond latencies have focused on re-engineering networks using a hybrid approach consisting of an optical-fiber based backbone network architecture coupled with high-speed wireless networks to connect end-devices to the backbone network. In our approach, a wide area network (WAN) is considered with a high-speed optical fiber grid network as its backbone. After messages from a source node enter the backbone network through a local wireless network, these are delivered very fast to an access point in the backbone network closest to the destination node, followed by its transfer to the local wireless network for delivery to the destination node. We propose a novel routing strategy which is based on distributing the messages in the network in such a way that the average queuing delay of the messages through the backbone network is minimized, and also the route discovery time at each router in the backbone network is drastically reduced. Also, multiple messages destined towards a particular destination router in the backbone network are packed together to form a mailbag, allowing further reductions in processing overheads at intermediate routers and pipelining of mailbag formation and route discovery operations in each router. The performance of the proposed approach green based on these ideas has been theoretically analyzed and then simulated using the ns-3 simulator. Our results show that the average end-to-end latency is less than 380 µs (with only 46-79 µs within the backbone network under varying traffic conditions) for a 1 KB packet size, when using a 500 Gbps optical fiber based backbone network laid over a 15 Km × 15 Km area, a 50 Mbps uplink channel from the source to the backbone network, and a 1 Gbps downlink channel from the backbone network to the destination. The significant reduction in end-to-end latency as compared to existing routing solutions clearly demonstrates the potential of our proposed routing strategy for meeting the ultra-low latency requirements of current 5G and future 6G networks, particularly for mobile edge computing (MEC) application scenarios.
A Novel Routing Strategy Towards Achieving Ultra-Low End-to-End Latency in 6G...IJCNCJournal
Compared to 5G, 6G networks will demand even more ambitious reduction in endto-end latency for packet communication. Recent attempts at breaking the barrier of end-to-end millisecond latencies have focused on re-engineering networks using a hybrid approach consisting of an optical-fiber based backbone network architecture coupled with high-speed wireless networks to connect end-devices to the backbone network. In our approach, a wide area network (WAN) is considered with a high-speed optical fiber grid network as its backbone. After messages from a source node enter the backbone network through a local wireless network, these are delivered very fast to an access point in the backbone network closest to the destination node, followed by its transfer to the local wireless network for delivery to the destination node. We propose a novel routing strategy which is based on distributing the messages in the network in such a way that the average queuing delay of the messages through the backbone network is minimized, and also the route discovery time at each router in the backbone network is drastically reduced. Also, multiple messages destined towards a particular destination router in the backbone network are packed together to form a mailbag, allowing further reductions in processing overheads at intermediate routers and pipelining of mailbag formation and route discovery operations in each router. The performance of the proposed approach green based on these ideas has been theoretically analyzed and then simulated using the ns-3 simulator. Our results show that the average end-to-end latency is less than 380 µs (with only 46-79 µs within the backbone network under varying traffic conditions) for a 1 KB packet size, when using a 500 Gbps optical fiber based backbone network laid over a 15 Km × 15 Km area, a 50 Mbps uplink channel from the source to the backbone network, and a 1 Gbps downlink channel from the backbone network to the destination. The significant reduction in end-to-end latency as compared to existing routing solutions clearly demonstrates the potential of our proposed routing strategy for meeting the ultra-low latency requirements of current 5G and future 6G networks, particularly for mobile edge computing (MEC) application scenarios.
- The document discusses 5G technology and its features, including its ability to greatly increase wireless network speeds and connectivity. It provides an overview of 5G's history and development, motivations, applications in areas like healthcare and autonomous vehicles, and its system architecture using different frequency bands. While 5G enables major improvements in areas like speed and latency, challenges remain regarding its new infrastructure requirements and the need to replace older devices.
This document discusses the vision and potential technologies for 6G wireless communication systems. It begins by outlining the exponential growth in mobile data usage and the need for a system beyond 5G to support emerging applications. 6G is expected to be implemented between 2027-2030 and aims to provide data rates of around 1 Tbps per user, latency below 1 ms, and connectivity 1000 times greater than 5G. Technologies like terahertz communications, artificial intelligence, 3D networking and quantum communications could help 6G achieve high performance while supporting applications in areas like autonomous systems, virtual reality and smart cities. The document also examines 6G requirements, the role of different technologies, challenges and research directions.
This document provides an overview of 5G technology and its development. It discusses how 5G will utilize higher frequency spectrum, including millimeter waves, to enable faster data speeds and lower latency compared to previous generations. Key points discussed include:
- 5G will use spectrum both below and above 6 GHz, including millimeter wave bands, to support its high bandwidth and low latency capabilities.
- The architecture of 5G networks will be more distributed utilizing small cells and beamforming to manage connectivity as traditional cell towers become less effective at higher frequencies.
- Modulation techniques beyond OFDM are being explored to improve spectral efficiency for 5G, such as FBMC, which reduces interference between signals.
- 5
This document provides a comparative study of 4G and 5G wireless technologies. Some key points:
- 4G networks are based on LTE technology using MIMO and OFDM to achieve high data throughput. 5G will provide even higher speeds and connectivity for many devices.
- 5G will operate at higher frequencies of 3-300GHz and support data rates over 1Gbps for many connections. It is designed to handle a wide variety of connected devices and traffic types.
- 5G networks will use technologies like cloud RAN and virtual RAN for more centralized network establishment. They will also use cognitive radio techniques to dynamically adapt to conditions.
- When 5G replaces 4G, it aims
A Comparative Study on 4G and 5G Technology for Wireless Applicationsiosrjce
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
1. The document discusses the evolution of mobile technologies from 1G to 6G, comparing their key features such as bandwidth, deployment years, and services provided. 2. 6G is proposed to integrate 5G networks with satellite technology to provide global coverage with high-speed internet connectivity up to 11 Gbps for multimedia and weather information services on mobile devices. 3. 6G aims to use nanotechnology and artificial intelligence to connect all network operators to a single core and provide benefits like smart homes and cities, space technology applications, and disaster control.
1. The document discusses the evolution of mobile technologies from 1G to 6G, comparing their key features such as bandwidth, deployment years, and services provided. 2. 6G is proposed to integrate 5G networks with satellite technology to provide global coverage with high-speed internet connectivity up to 11 Gbps for multimedia and weather information services on mobile devices. 3. 6G aims to use nanotechnology and artificial intelligence to connect all network operators to a single core and provide benefits like smart homes and cities, natural disaster control, and space communication.
The document provides an overview of 5G networks, including their drivers and requirements, use scenarios, spectrum considerations, hardware, software, advantages and disadvantages. 5G aims to enable higher data rates (up to 10Gbps), lower latency (1ms), and support for new applications through enhanced mobile broadband, massive IoT connectivity, and ultra-reliable low latency communications. Key technologies enabling 5G include new spectrum bands, small cells, massive MIMO, and virtualization of network functions. Challenges include high deployment costs and the need for further development to resolve issues like coverage limitations and security.
We have seen all the mobile broadband technologies like 1G, 2G, 3G and most recent 4G and upcoming is 5G. And they were very successful and motivated by the need to meet the requirement of the mobile users.
Similar to Key performance requirement of future next wireless networks (6G) (20)
Square transposition: an approach to the transposition process in block cipherjournalBEEI
The transposition process is needed in cryptography to create a diffusion effect on data encryption standard (DES) and advanced encryption standard (AES) algorithms as standard information security algorithms by the National Institute of Standards and Technology. The problem with DES and AES algorithms is that their transposition index values form patterns and do not form random values. This condition will certainly make it easier for a cryptanalyst to look for a relationship between ciphertexts because some processes are predictable. This research designs a transposition algorithm called square transposition. Each process uses square 8 × 8 as a place to insert and retrieve 64-bits. The determination of the pairing of the input scheme and the retrieval scheme that have unequal flow is an important factor in producing a good transposition. The square transposition can generate random and non-pattern indices so that transposition can be done better than DES and AES.
Hyper-parameter optimization of convolutional neural network based on particl...journalBEEI
The document proposes using a particle swarm optimization (PSO) algorithm to optimize the hyperparameters of a convolutional neural network (CNN) for image classification. The PSO algorithm is used to find optimal values for CNN hyperparameters like the number and size of convolutional filters. In experiments on the MNIST handwritten digit dataset, the optimized CNN achieved a testing error rate of 0.87%, which is competitive with state-of-the-art models. The proposed approach finds optimized CNN architectures automatically without requiring manual design or encoding strategies during training.
Supervised machine learning based liver disease prediction approach with LASS...journalBEEI
In this contemporary era, the uses of machine learning techniques are increasing rapidly in the field of medical science for detecting various diseases such as liver disease (LD). Around the globe, a large number of people die because of this deadly disease. By diagnosing the disease in a primary stage, early treatment can be helpful to cure the patient. In this research paper, a method is proposed to diagnose the LD using supervised machine learning classification algorithms, namely logistic regression, decision tree, random forest, AdaBoost, KNN, linear discriminant analysis, gradient boosting and support vector machine (SVM). We also deployed a least absolute shrinkage and selection operator (LASSO) feature selection technique on our taken dataset to suggest the most highly correlated attributes of LD. The predictions with 10 fold cross-validation (CV) made by the algorithms are tested in terms of accuracy, sensitivity, precision and f1-score values to forecast the disease. It is observed that the decision tree algorithm has the best performance score where accuracy, precision, sensitivity and f1-score values are 94.295%, 92%, 99% and 96% respectively with the inclusion of LASSO. Furthermore, a comparison with recent studies is shown to prove the significance of the proposed system.
A secure and energy saving protocol for wireless sensor networksjournalBEEI
The research domain for wireless sensor networks (WSN) has been extensively conducted due to innovative technologies and research directions that have come up addressing the usability of WSN under various schemes. This domain permits dependable tracking of a diversity of environments for both military and civil applications. The key management mechanism is a primary protocol for keeping the privacy and confidentiality of the data transmitted among different sensor nodes in WSNs. Since node's size is small; they are intrinsically limited by inadequate resources such as battery life-time and memory capacity. The proposed secure and energy saving protocol (SESP) for wireless sensor networks) has a significant impact on the overall network life-time and energy dissipation. To encrypt sent messsages, the SESP uses the public-key cryptography’s concept. It depends on sensor nodes' identities (IDs) to prevent the messages repeated; making security goals- authentication, confidentiality, integrity, availability, and freshness to be achieved. Finally, simulation results show that the proposed approach produced better energy consumption and network life-time compared to LEACH protocol; sensors are dead after 900 rounds in the proposed SESP protocol. While, in the low-energy adaptive clustering hierarchy (LEACH) scheme, the sensors are dead after 750 rounds.
Plant leaf identification system using convolutional neural networkjournalBEEI
This paper proposes a leaf identification system using convolutional neural network (CNN). This proposed system can identify five types of local Malaysia leaf which were acacia, papaya, cherry, mango and rambutan. By using CNN from deep learning, the network is trained from the database that acquired from leaf images captured by mobile phone for image classification. ResNet-50 was the architecture has been used for neural networks image classification and training the network for leaf identification. The recognition of photographs leaves requested several numbers of steps, starting with image pre-processing, feature extraction, plant identification, matching and testing, and finally extracting the results achieved in MATLAB. Testing sets of the system consists of 3 types of images which were white background, and noise added and random background images. Finally, interfaces for the leaf identification system have developed as the end software product using MATLAB app designer. As a result, the accuracy achieved for each training sets on five leaf classes are recorded above 98%, thus recognition process was successfully implemented.
Customized moodle-based learning management system for socially disadvantaged...journalBEEI
This study aims to develop Moodle-based LMS with customized learning content and modified user interface to facilitate pedagogical processes during covid-19 pandemic and investigate how teachers of socially disadvantaged schools perceived usability and technology acceptance. Co-design process was conducted with two activities: 1) need assessment phase using an online survey and interview session with the teachers and 2) the development phase of the LMS. The system was evaluated by 30 teachers from socially disadvantaged schools for relevance to their distance learning activities. We employed computer software usability questionnaire (CSUQ) to measure perceived usability and the technology acceptance model (TAM) with insertion of 3 original variables (i.e., perceived usefulness, perceived ease of use, and intention to use) and 5 external variables (i.e., attitude toward the system, perceived interaction, self-efficacy, user interface design, and course design). The average CSUQ rating exceeded 5.0 of 7 point-scale, indicated that teachers agreed that the information quality, interaction quality, and user interface quality were clear and easy to understand. TAM results concluded that the LMS design was judged to be usable, interactive, and well-developed. Teachers reported an effective user interface that allows effective teaching operations and lead to the system adoption in immediate time.
Understanding the role of individual learner in adaptive and personalized e-l...journalBEEI
Dynamic learning environment has emerged as a powerful platform in a modern e-learning system. The learning situation that constantly changing has forced the learning platform to adapt and personalize its learning resources for students. Evidence suggested that adaptation and personalization of e-learning systems (APLS) can be achieved by utilizing learner modeling, domain modeling, and instructional modeling. In the literature of APLS, questions have been raised about the role of individual characteristics that are relevant for adaptation. With several options, a new problem has been raised where the attributes of students in APLS often overlap and are not related between studies. Therefore, this study proposed a list of learner model attributes in dynamic learning to support adaptation and personalization. The study was conducted by exploring concepts from the literature selected based on the best criteria. Then, we described the results of important concepts in student modeling and provided definitions and examples of data values that researchers have used. Besides, we also discussed the implementation of the selected learner model in providing adaptation in dynamic learning.
Prototype mobile contactless transaction system in traditional markets to sup...journalBEEI
1) Researchers developed a prototype contactless transaction system using QR codes and digital payments to support physical distancing during the COVID-19 pandemic in traditional markets.
2) The system allows sellers and buyers in traditional markets to conduct fast, secure transactions via smartphones without direct cash exchange. Buyers scan sellers' QR codes to view product details and make e-wallet payments.
3) Testing showed the system's functions worked properly and users found it easy to use and useful for supporting contactless transactions and digital transformation of traditional markets. However, further development is needed to increase trust in digital payments for users unfamiliar with the technology.
Wireless HART stack using multiprocessor technique with laxity algorithmjournalBEEI
The use of a real-time operating system is required for the demarcation of industrial wireless sensor network (IWSN) stacks (RTOS). In the industrial world, a vast number of sensors are utilised to gather various types of data. The data gathered by the sensors cannot be prioritised ahead of time. Because all of the information is equally essential. As a result, a protocol stack is employed to guarantee that data is acquired and processed fairly. In IWSN, the protocol stack is implemented using RTOS. The data collected from IWSN sensor nodes is processed using non-preemptive scheduling and the protocol stack, and then sent in parallel to the IWSN's central controller. The real-time operating system (RTOS) is a process that occurs between hardware and software. Packets must be sent at a certain time. It's possible that some packets may collide during transmission. We're going to undertake this project to get around this collision. As a prototype, this project is divided into two parts. The first uses RTOS and the LPC2148 as a master node, while the second serves as a standard data collection node to which sensors are attached. Any controller may be used in the second part, depending on the situation. Wireless HART allows two nodes to communicate with each other.
Implementation of double-layer loaded on octagon microstrip yagi antennajournalBEEI
This document describes the implementation of a double-layer structure on an octagon microstrip yagi antenna (OMYA) to improve its performance at 5.8 GHz. The double-layer consists of two double positive (DPS) substrates placed above the OMYA. Simulation and experimental results show that the double-layer configuration increases the gain of the OMYA by 2.5 dB compared to without the double-layer. The measured bandwidth of the OMYA with double-layer is 14.6%, indicating the double-layer can increase both the gain and bandwidth of the OMYA.
The calculation of the field of an antenna located near the human headjournalBEEI
In this work, a numerical calculation was carried out in one of the universal programs for automatic electro-dynamic design. The calculation is aimed at obtaining numerical values for specific absorbed power (SAR). It is the SAR value that can be used to determine the effect of the antenna of a wireless device on biological objects; the dipole parameters will be selected for GSM1800. Investigation of the influence of distance to a cell phone on radiation shows that absorbed in the head of a person the effect of electromagnetic radiation on the brain decreases by three times this is a very important result the SAR value has decreased by almost three times it is acceptable results.
Exact secure outage probability performance of uplinkdownlink multiple access...journalBEEI
In this paper, we study uplink-downlink non-orthogonal multiple access (NOMA) systems by considering the secure performance at the physical layer. In the considered system model, the base station acts a relay to allow two users at the left side communicate with two users at the right side. By considering imperfect channel state information (CSI), the secure performance need be studied since an eavesdropper wants to overhear signals processed at the downlink. To provide secure performance metric, we derive exact expressions of secrecy outage probability (SOP) and and evaluating the impacts of main parameters on SOP metric. The important finding is that we can achieve the higher secrecy performance at high signal to noise ratio (SNR). Moreover, the numerical results demonstrate that the SOP tends to a constant at high SNR. Finally, our results show that the power allocation factors, target rates are main factors affecting to the secrecy performance of considered uplink-downlink NOMA systems.
Design of a dual-band antenna for energy harvesting applicationjournalBEEI
This report presents an investigation on how to improve the current dual-band antenna to enhance the better result of the antenna parameters for energy harvesting application. Besides that, to develop a new design and validate the antenna frequencies that will operate at 2.4 GHz and 5.4 GHz. At 5.4 GHz, more data can be transmitted compare to 2.4 GHz. However, 2.4 GHz has long distance of radiation, so it can be used when far away from the antenna module compare to 5 GHz that has short distance in radiation. The development of this project includes the scope of designing and testing of antenna using computer simulation technology (CST) 2018 software and vector network analyzer (VNA) equipment. In the process of designing, fundamental parameters of antenna are being measured and validated, in purpose to identify the better antenna performance.
Transforming data-centric eXtensible markup language into relational database...journalBEEI
eXtensible markup language (XML) appeared internationally as the format for data representation over the web. Yet, most organizations are still utilising relational databases as their database solutions. As such, it is crucial to provide seamless integration via effective transformation between these database infrastructures. In this paper, we propose XML-REG to bridge these two technologies based on node-based and path-based approaches. The node-based approach is good to annotate each positional node uniquely, while the path-based approach provides summarised path information to join the nodes. On top of that, a new range labelling is also proposed to annotate nodes uniquely by ensuring the structural relationships are maintained between nodes. If a new node is to be added to the document, re-labelling is not required as the new label will be assigned to the node via the new proposed labelling scheme. Experimental evaluations indicated that the performance of XML-REG exceeded XMap, XRecursive, XAncestor and Mini-XML concerning storing time, query retrieval time and scalability. This research produces a core framework for XML to relational databases (RDB) mapping, which could be adopted in various industries.
Noise resistance territorial intensity-based optical flow using inverse confi...journalBEEI
This paper presents the use of the inverse confidential technique on bilateral function with the territorial intensity-based optical flow to prove the effectiveness in noise resistance environment. In general, the image’s motion vector is coded by the technique called optical flow where the sequences of the image are used to determine the motion vector. But, the accuracy rate of the motion vector is reduced when the source of image sequences is interfered by noises. This work proved that the inverse confidential technique on bilateral function can increase the percentage of accuracy in the motion vector determination by the territorial intensity-based optical flow under the noisy environment. We performed the testing with several kinds of non-Gaussian noises at several patterns of standard image sequences by analyzing the result of the motion vector in a form of the error vector magnitude (EVM) and compared it with several noise resistance techniques in territorial intensity-based optical flow method.
Modeling climate phenomenon with software grids analysis and display system i...journalBEEI
This study aims to model climate change based on rainfall, air temperature, pressure, humidity and wind with grADS software and create a global warming module. This research uses 3D model, define, design, and develop. The results of the modeling of the five climate elements consist of the annual average temperature in Indonesia in 2009-2015 which is between 29oC to 30.1oC, the horizontal distribution of the annual average pressure in Indonesia in 2009-2018 is between 800 mBar to 1000 mBar, the horizontal distribution the average annual humidity in Indonesia in 2009 and 2011 ranged between 27-57, in 2012-2015, 2017 and 2018 it ranged between 30-60, during the East Monsoon, the wind circulation moved from northern Indonesia to the southern region Indonesia. During the west monsoon, the wind circulation moves from the southern part of Indonesia to the northern part of Indonesia. The global warming module for SMA/MA produced is feasible to use, this is in accordance with the value given by the validate of 69 which is in the appropriate category and the response of teachers and students through a 91% questionnaire.
An approach of re-organizing input dataset to enhance the quality of emotion ...journalBEEI
The purpose of this paper is to propose an approach of re-organizing input data to recognize emotion based on short signal segments and increase the quality of emotional recognition using physiological signals. MIT's long physiological signal set was divided into two new datasets, with shorter and overlapped segments. Three different classification methods (support vector machine, random forest, and multilayer perceptron) were implemented to identify eight emotional states based on statistical features of each segment in these two datasets. By re-organizing the input dataset, the quality of recognition results was enhanced. The random forest shows the best classification result among three implemented classification methods, with an accuracy of 97.72% for eight emotional states, on the overlapped dataset. This approach shows that, by re-organizing the input dataset, the high accuracy of recognition results can be achieved without the use of EEG and ECG signals.
Parking detection system using background subtraction and HSV color segmentationjournalBEEI
Manual system vehicle parking makes finding vacant parking lots difficult, so it has to check directly to the vacant space. If many people do parking, then the time needed for it is very much or requires many people to handle it. This research develops a real-time parking system to detect parking. The system is designed using the HSV color segmentation method in determining the background image. In addition, the detection process uses the background subtraction method. Applying these two methods requires image preprocessing using several methods such as grayscaling, blurring (low-pass filter). In addition, it is followed by a thresholding and filtering process to get the best image in the detection process. In the process, there is a determination of the ROI to determine the focus area of the object identified as empty parking. The parking detection process produces the best average accuracy of 95.76%. The minimum threshold value of 255 pixels is 0.4. This value is the best value from 33 test data in several criteria, such as the time of capture, composition and color of the vehicle, the shape of the shadow of the object’s environment, and the intensity of light. This parking detection system can be implemented in real-time to determine the position of an empty place.
Quality of service performances of video and voice transmission in universal ...journalBEEI
The universal mobile telecommunications system (UMTS) has distinct benefits in that it supports a wide range of quality of service (QoS) criteria that users require in order to fulfill their requirements. The transmission of video and audio in real-time applications places a high demand on the cellular network, therefore QoS is a major problem in these applications. The ability to provide QoS in the UMTS backbone network necessitates an active QoS mechanism in order to maintain the necessary level of convenience on UMTS networks. For UMTS networks, investigation models for end-to-end QoS, total transmitted and received data, packet loss, and throughput providing techniques are run and assessed and the simulation results are examined. According to the results, appropriate QoS adaption allows for specific voice and video transmission. Finally, by analyzing existing QoS parameters, the QoS performance of 4G/UMTS networks may be improved.
A multi-task learning based hybrid prediction algorithm for privacy preservin...journalBEEI
There is ever increasing need to use computer vision devices to capture videos as part of many real-world applications. However, invading privacy of people is the cause of concern. There is need for protecting privacy of people while videos are used purposefully based on objective functions. One such use case is human activity recognition without disclosing human identity. In this paper, we proposed a multi-task learning based hybrid prediction algorithm (MTL-HPA) towards realising privacy preserving human activity recognition framework (PPHARF). It serves the purpose by recognizing human activities from videos while preserving identity of humans present in the multimedia object. Face of any person in the video is anonymized to preserve privacy while the actions of the person are exposed to get them extracted. Without losing utility of human activity recognition, anonymization is achieved. Humans and face detection methods file to reveal identity of the persons in video. We experimentally confirm with joint-annotated human motion data base (JHMDB) and daily action localization in YouTube (DALY) datasets that the framework recognises human activities and ensures non-disclosure of privacy information. Our approach is better than many traditional anonymization techniques such as noise adding, blurring, and masking.
Profiling of Cafe Business in Talavera, Nueva Ecija: A Basis for Development ...IJAEMSJORNAL
This study aimed to profile the coffee shops in Talavera, Nueva Ecija, to develop a standardized checklist for aspiring entrepreneurs. The researchers surveyed 10 coffee shop owners in the municipality of Talavera. Through surveys, the researchers delved into the Owner's Demographic, Business details, Financial Requirements, and other requirements needed to consider starting up a coffee shop. Furthermore, through accurate analysis, the data obtained from the coffee shop owners are arranged to derive key insights. By analyzing this data, the study identifies best practices associated with start-up coffee shops’ profitability in Talavera. These findings were translated into a standardized checklist outlining essential procedures including the lists of equipment needed, financial requirements, and the Traditional and Social Media Marketing techniques. This standardized checklist served as a valuable tool for aspiring and existing coffee shop owners in Talavera, streamlining operations, ensuring consistency, and contributing to business success.
20CDE09- INFORMATION DESIGN
UNIT I INCEPTION OF INFORMATION DESIGN
Introduction and Definition
History of Information Design
Need of Information Design
Types of Information Design
Identifying audience
Defining the audience and their needs
Inclusivity and Visual impairment
Case study.
Response & Safe AI at Summer School of AI at IIITHIIIT Hyderabad
Talk covering Guardrails , Jailbreak, What is an alignment problem? RLHF, EU AI Act, Machine & Graph unlearning, Bias, Inconsistency, Probing, Interpretability, Bias
Development of Chatbot Using AI/ML Technologiesmaisnampibarel
The rapid advancements in artificial intelligence and natural language processing have significantly transformed human-computer interactions. This thesis presents the design, development, and evaluation of an intelligent chatbot capable of engaging in natural and meaningful conversations with users. The chatbot leverages state-of-the-art deep learning techniques, including transformer-based architectures, to understand and generate human-like responses.
Key contributions of this research include the implementation of a context- aware conversational model that can maintain coherent dialogue over extended interactions. The chatbot's performance is evaluated through both automated metrics and user studies, demonstrating its effectiveness in various applications such as customer service, mental health support, and educational assistance. Additionally, ethical considerations and potential biases in chatbot responses are examined to ensure the responsible deployment of this technology.
The findings of this thesis highlight the potential of intelligent chatbots to enhance user experience and provide valuable insights for future developments in conversational AI.
A vernier caliper is a precision instrument used to measure dimensions with high accuracy. It can measure internal and external dimensions, as well as depths.
Here is a detailed description of its parts and how to use it.
Best Practices of Clothing Businesses in Talavera, Nueva Ecija, A Foundation ...IJAEMSJORNAL
This study primarily aimed to determine the best practices of clothing businesses to use it as a foundation of strategic business advancements. Moreover, the frequency with which the business's best practices are tracked, which best practices are the most targeted of the apparel firms to be retained, and how does best practices can be used as strategic business advancement. The respondents of the study is the owners of clothing businesses in Talavera, Nueva Ecija. Data were collected and analyzed using a quantitative approach and utilizing a descriptive research design. Unveiling best practices of clothing businesses as a foundation for strategic business advancement through statistical analysis: frequency and percentage, and weighted means analyzing the data in terms of identifying the most to the least important performance indicators of the businesses among all of the variables. Based on the survey conducted on clothing businesses in Talavera, Nueva Ecija, several best practices emerge across different areas of business operations. These practices are categorized into three main sections, section one being the Business Profile and Legal Requirements, followed by the tracking of indicators in terms of Product, Place, Promotion, and Price, and Key Performance Indicators (KPIs) covering finance, marketing, production, technical, and distribution aspects. The research study delved into identifying the core best practices of clothing businesses, serving as a strategic guide for their advancement. Through meticulous analysis, several key findings emerged. Firstly, prioritizing product factors, such as maintaining optimal stock levels and maximizing customer satisfaction, was deemed essential for driving sales and fostering loyalty. Additionally, selecting the right store location was crucial for visibility and accessibility, directly impacting footfall and sales. Vigilance towards competitors and demographic shifts was highlighted as essential for maintaining relevance. Understanding the relationship between marketing spend and customer acquisition proved pivotal for optimizing budgets and achieving a higher ROI. Strategic analysis of profit margins across clothing items emerged as crucial for maximizing profitability and revenue. Creating a positive customer experience, investing in employee training, and implementing effective inventory management practices were also identified as critical success factors. In essence, these findings underscored the holistic approach needed for sustainable growth in the clothing business, emphasizing the importance of product management, marketing strategies, customer experience, and operational efficiency.
OCS Training Institute is pleased to co-operate with
a Global provider of Rig Inspection/Audits,
Commission-ing, Compliance & Acceptance as well as
& Engineering for Offshore Drilling Rigs, to deliver
Drilling Rig Inspec-tion Workshops (RIW) which
teaches the inspection & maintenance procedures
required to ensure equipment integrity. Candidates
learn to implement the relevant standards &
understand industry requirements so that they can
verify the condition of a rig’s equipment & improve
safety, thus reducing the number of accidents and
protecting the asset.
Encontro anual da comunidade Splunk, onde discutimos todas as novidades apresentadas na conferência anual da Spunk, a .conf24 realizada em junho deste ano em Las Vegas.
Neste vídeo, trago os pontos chave do encontro, como:
- AI Assistant para uso junto com a SPL
- SPL2 para uso em Data Pipelines
- Ingest Processor
- Enterprise Security 8.0 (Maior atualização deste seu release)
- Federated Analytics
- Integração com Cisco XDR e Cisto Talos
- E muito mais.
Deixo ainda, alguns links com relatórios e conteúdo interessantes que podem ajudar no esclarecimento dos produtos e funções.
https://www.splunk.com/en_us/campaigns/the-hidden-costs-of-downtime.html
https://www.splunk.com/en_us/pdfs/gated/ebooks/building-a-leading-observability-practice.pdf
https://www.splunk.com/en_us/pdfs/gated/ebooks/building-a-modern-security-program.pdf
Nosso grupo oficial da Splunk:
https://usergroups.splunk.com/sao-paulo-splunk-user-group/
Exploring Deep Learning Models for Image Recognition: A Comparative Reviewsipij
Image recognition, which comes under Artificial Intelligence (AI) is a critical aspect of computer vision,
enabling computers or other computing devices to identify and categorize objects within images. Among
numerous fields of life, food processing is an important area, in which image processing plays a vital role,
both for producers and consumers. This study focuses on the binary classification of strawberries, where
images are sorted into one of two categories. We Utilized a dataset of strawberry images for this study; we
aim to determine the effectiveness of different models in identifying whether an image contains
strawberries. This research has practical applications in fields such as agriculture and quality control. We
compared various popular deep learning models, including MobileNetV2, Convolutional Neural Networks
(CNN), and DenseNet121, for binary classification of strawberry images. The accuracy achieved by
MobileNetV2 is 96.7%, CNN is 99.8%, and DenseNet121 is 93.6%. Through rigorous testing and analysis,
our results demonstrate that CNN outperforms the other models in this task. In the future, the deep
learning models can be evaluated on a richer and larger number of images (datasets) for better/improved
results.
Conservation of Taksar through Economic RegenerationPriyankaKarn3
This was our 9th Sem Design Studio Project, introduced as Conservation of Taksar Bazar, Bhojpur, an ancient city famous for Taksar- Making Coins. Taksar Bazaar has a civilization of Newars shifted from Patan, with huge socio-economic and cultural significance having a settlement of about 300 years. But in the present scenario, Taksar Bazar has lost its charm and importance, due to various reasons like, migration, unemployment, shift of economic activities to Bhojpur and many more. The scenario was so pityful that when we went to make inventories, take survey and study the site, the people and the context, we barely found any youth of our age! Many houses were vacant, the earthquake devasted and ruined heritages.
Conservation of those heritages, ancient marvels,a nd history was in dire need, so we proposed the Conservation of Taksar through economic regeneration because the lack of economy was the main reason for the people to leave the settlement and the reason for the overall declination.
Key performance requirement of future next wireless networks (6G)
1. Bulletin of Electrical Engineering and Informatics
Vol. 10, No. 6, December 2021, pp. 3249~3255
ISSN: 2302-9285, DOI: 10.11591/eei.v10i6.3176 3249
Journal homepage: http://beei.org
Key performance requirement of future next wireless networks
(6G)
Ahmad A. A. Solyman1
, Khalid Yahya2
1
Department of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, Istanbul Gelisim
University, Turkey
2
Department of Mechatronic Engineering, Faculty of Engineering and Architecture, Istanbul Gelisim University, Istanbul,
Turkey
Article Info ABSTRACT
Article history:
Received Sep 19, 2020
Revised May 4, 2021
Accepted Oct 1, 2021
Given the massive potentials of 5G communication networks and their
foreseeable evolution, what should there be in 6G that is not in 5G or its long-
term evolution? 6G communication networks are estimated to integrate the
terrestrial, aerial, and maritime communications into a forceful network which
would be faster, more reliable, and can support a massive number of devices
with ultra-low latency requirements. This article presents a complete overview
of potential 6G communication networks. The major contribution of this study
is to present a broad overview of key performance indicators (KPIs) of 6G
networks that cover the latest manufacturing progress in the environment of
the principal areas of research application, and challenges.
Keywords:
6G communications
Key performance indicators
Wireless networks
This is an open access article under the CC BY-SA license.
Corresponding Author:
Ahmad A. A. Solyman
Department of Electrical and Electronics Engineering
Faculty of Engineering and Architecture
Istanbul Gelisim University, Turkey
Email: aaasahmed@gelisim.edu.tr
1. INTRODUCTION
Figure 1 summarizes the major milestones of the five generations (1G-5G) of wireless communication
networks. 5G communications have been standardized and are already being used all over the world [1]. ITU
defines the vision and requirements; 5G would get together eight key performance indicators (KPIs) and
three common scenarios [2]. The three challenging technical indicators for all three scenarios are the millions
of interconnects per square kilometer (1M/km2
) of huge machine-type communications, the millisecond (ms)
air interface delay of ultra-reliable low-latency communications (URLLC), and millions of square kilometers
(ms) of interconnection. Enhanced mobile broadband (eMBB) (mMTC). A collection of enabling
technologies was proposed argued in standardizations, and tested in technological trials to achieve these KPIs
[3]. Massive MIMO, advanced coding and modulation, mmWave communication, non-orthogonal multiple
access, ultra-dense networking (UDN), dual connection architecture, and adjustable frame structure are only
a few examples of wireless technology [4], [5].
However, because of the significant increase in the number of interconnected devices, which could
reach hundreds of devices per cubic meter, a tremendous increase in data exchange is expected; Apart from
the growing number of new applications like virtual/augmented reality (VR/AR), self-driving cars, three-
dimensional integrated communications, and yet-to-be-conceived applications [4], [6], 5G networks would
require even higher data rates and lower latency. These constraints are seen as a key driver in the
2. ISSN: 2302-9285
Bulletin of Electr Eng & Inf, Vol. 10, No. 6, December 2021 : 3249 – 3255
3250
development of 6G communication technologies. What could be better in 6G that is not included in 5G,
given the vast potentials of 5G networks and their anticipated evolution? Academic, industry, and research
organizations are busy describing and identifying important essential enabling technologies that could
characterize 6G, with deployment estimated by 2030 [7], [8].
Figure 1. Different generations of communications (1G–5G) Major milestones
Based on the vision and expansion of a universal smart Mobile Sphere, 6G will be improved and
broadened to allow for a 10 to 100-fold increase in data throughput, increased system capacity, wider and
deeper coverage, higher resource utilization, higher spectrum efficiency, support higher moving speeds,
lower delay, and entirely support the progress of a universal smart Mobile Sphere. The vision's expected
requirements will be discussed in great detail in the following paragraphs:
− 6G ought to be an omnipresent and well-connected system with larger and wider coverage, incorporating
terrestrial, short-range device-to-device communication, and satellite, among other things. 6G can
operate in a variety of situations, including airspace, land, and sea, thanks to sophisticated mobility
management technologies, resulting in a universal, inescapable mobile broadband communication system.
− 6G is a network that is extremely tailored and intelligent. The combination of 6G and artificial
intelligence makes personal mobile communications virtual, and the network is transformed from the
traditional centralized function to the new 3-centralized type of centralized user-centric, data-centric and
full-content services.
− 6G is estimated to run at upper frequencies, like 4×1014
to 8×1014
Hz (visible light), higher frequency
radio bands ranging from 24GHz to 40GHz (mmWave), frequencies between 100 GHz and 10 THz
(terahertz), and so on, in order to achieve a wider bandwidth. When compared to 5G, 6G can increase
data rates by up to 100 times, allowing for peak data rates of Tb/s and user data rates of 10Gb/s.
Furthermore, 6G can make use of the reconfigurable frequency sharing technique to increase the
efficiency of frequency reuse even further.
− The 6G network will adopt an endogenous safety system or an integrated functional safety design. By
combining trust and security procedures, 6G can achieve self-awareness, dynamic real-time analysis,
flexible risk, and trust assessment, all of which will contribute to cyberspace security.
− 6G communications will include computing, navigation, and detection. Satellite communication systems,
satellite navigation and positioning systems, and perhaps radar detection systems, will all become part of
6G. 6G will have a more open architecture with a software-defined core network and wireless access
network, allowing faster and more conscious development and dynamic deployment of network
operations.
3. Bulletin of Electr Eng & Inf ISSN: 2302-9285
Key performance requirement of future next wireless networks (6G) (Ahmad A. A. Solyman)
3251
− Because of the internet of things (IoT), 6G can generate massive amounts of data; It can also be
combined with new technologies, such as artificial intelligence, edge computing, cloud computing, and
blockchain. 6G can support the ubiquitous intelligent mobile society by realizing everything related to
intelligence and collective intelligence (swarm intelligence).
This paper intends to highlight the significant concerns of key performance indicators (KPIs) of 6G
networks that are not covered by 5G, as well as the most current developments in the sector in terms of the
main application areas and challenges. To that purpose, our research attempted to take as many approaches as
workable. Due to space constraints, this work examined disputed research topics in-depth based on their sub-
domains in order to get a precise and concise conclusion. This publication will open up new research
possibilities for scholars by providing various new references that could aid in the goal of creating 6G
networks. The rest of the article is structured as follows. The primary KPIs of 6G wireless systems discussed
in section 2 include max data rate, needs for mobility, connected devices/Km2
, dependability, area traffic
capacity, latency, network spectrum, and energy efficiency, followed by a comparison of KPIs between 5G
and 6G networks. The work comes to a close in section 3.
2. KEY PERFORMANCE INDICATORS OF 6G NETWORKS
The prime KPIs of 6G wireless systems are discussed in this section. Figure 2 shows the key
performance indicators (KPIs) for max data rate, dependability, needs for mobility, connected devices/Km2
,
area traffic capacity, latency, network spectrum, and efficiency in terms of energy. In addition, Figure 3
shows a comparison of KPIs across 5G and 6G networks.
Figure 2. The main KPIs of 6G wireless networks
2.1. Data rate
Since the inception of wireless communications, users' data rate requirements have risen. The data
speeds in 1G were a small number of kbps, which grew to 106
bps in 5G. These data rates are insufficient for
several applications. As a result, 6G is planned to have more bandwidth by operating at a higher frequency,
such as visible light and Terahertz. 6G can boost data rates by 10 to 100 times compared to 5G, allowing for
Tbps peak data rates. The general view is that data rates would increase to 1 Tbps in the future smart city to
enable autonomous management of many operations. Individual data rates are predicted to rise from 1 Gbps
in 5G to at least 10 Gbps for every user in upcoming 6G systems, and up to 100 Gbps in specific use cases
[9]. 6G can take advantage of flexible frequency sharing technologies to improve frequency reuse efficiency
even more. As a result, we may download HD videos in a matter of seconds [10].
4. ISSN: 2302-9285
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Figure 3. KPIs for 5G versus 6G
2.2. Spectral efficiency
Smart buildings will be employed in 6G to give another degree of freedom (DoF) to wireless
networks, allowing them to deliver unprecedented capacity. On a large scale, buildings will be installed with
smart reflecting surfaces [11]. The smart surfaces would effectively enlarge the antenna aperture to gather as
many previously unavailable radio signals as it can for better energy and spectrum efficiency. Furthermore,
employing polarization diversity and orbital angular momentum (OAM) mode multiplexing, it has been
shown that a large capacity wireless communication system can be developed to operate within a few meters.
Several independent data streams can be broadcast over the same spatial wireless channel, resulting in a
tenfold increase in area spectral efficiency. The performance over a short distance is particularly
encouraging, which could be valuable in automating several industries. According to reports, the millimeter-
wave OAM system in [12] has achieved a rate exceeding 2.5 Tbps and has a huge spectral efficiency of
95.7bps/Hz. This may be a profitable technology for Industry 4.0 and is expected to become one of the most
important 6G use cases. In contrast, 6G is expected to work in conjunction with satellites to provide
worldwide mobile coverage. In 6G, volume spectral efficiency (in bps/Hz/m3) will be more appropriate for
measuring system capability in a three-dimensional working space than the commonly employed area
spectral efficiency (bps/Hz/m2).
2.3. Latency
The term “low latency” refers to communication that is swift and efficient. We want our packets to
be sent in a quick length of time with little processing delay. In 6G, the maximum permitted latency is 10
seconds [13]. High dependability and ultra-low latency will be required for the future network of intelligent
mobiles and robotics. The cities of the future will have smart cars, smart homes, smart schools/universities,
smart industries, and smart industries. bullet trains, Ships, airplanes, and unmanned aerial vehicles (UAVs)
will all need to be connected to smart cities. defense, health care, surveillance, and monitoring are just a few
of the key applications that will cause ultra-reliability and low latency [14].
High dependability and minimal latency are required for online gaming services. The ERLLCS
security feature on the 6G wireless system will be integrated with the mMTC and uRLLC on the 5G, and the
reliability standard exceeds 99.9999999% (Nine-Nine) [15]. Self-driving vehicles must be linked to one
another, and the link between them must be very reliable, otherwise, lives may be lost in accidents. Many
houses and other sensors will connect with one other in 6G networks, causing ultra-reliability to avoid any
mishaps.
5. Bulletin of Electr Eng & Inf ISSN: 2302-9285
Key performance requirement of future next wireless networks (6G) (Ahmad A. A. Solyman)
3253
2.4. Mobility
A number of heterogeneous radios will be supported in 6G devices. Users are connected to the
network as a whole rather than to a single cell, allowing multi-connectivity techniques to extend cell borders.
Without manual intervention or configuration, the device will be able to seamlessly transition between
different heterogeneous links (such as sub6 GHz, millimeter wave, terahertz, or VLC), providing QoS
guarantees that meet the most demanding mobility requirements envisaged by 6G, such as Low latency even
in ultra-high mobility scenarios (up to 1000 km/h) [13].
2.5. Massive connectivity
mMTC is additional usage for next-generation wireless communication. The IoT eliminates the need
for human interaction using machine-to-machine communication. From one machine to another, calls,
messages, and commands are sent. The acts are not carried out by humans. The machines, rather than
humans, are the ones who converse with one another. Wireless networks in the next generation are
anticipated to have a capacity of 107 devices/km2
[15], [16].
Sensor networks and the IoT will cooperate with each other and connect to many base stations.
Portable devices, control and monitoring equipment, autonomous vehicles, smart grids, industrial automation,
and control equipment, and medical and health-related devices are just some of the projects and applications
in this field. Peer-to-peer or cooperative multi-hop relay communication is possible between these devices. A
network infrastructure design capable of supporting a variety of content-driven applications and networks is
required for various applications or devices. Taking all these factors into account, the next generation of
wireless networks will require a new optimization and planning method.
2.6. Area traffic capacity
As the number of connected devices per unit area increases, the demand for higher capacity
channels and backhaul increases. On a daily basis, a densely distributed sensor network creates more than
tera-bytes (TB) of data [17]. To handle the traffic, this data output requires a high-capacity backhauling line.
Wireless protocols in earlier wireless generations (1G-to-5G) were built for specific uses. With the
rise of massive IoTs or mMTC, We will have to develop equipment that is both energy-efficient and cost-
effective. This massive IoT connectivity resulted in the development of vehicle-to-vehicle communication,
commonly known as V2X. The vehicle must interact with other vehicles, pedestrians, and various other
sensors(vehicle-to-infrastructure). All of these communications must be highly reliable, low latency, and
secure. Another case in point is industrial automation, which involves a huge number of sensors
communicating and producing large amounts of data. For 6G, the minimum area traffic capacity limit is 1000
Mbps/m2
[2].
2.7. Energy efficiency
Many expectations will be met and exceeded with 6G, including the supply of great energy
performance, particularly in the context of widespread IoT usage and an eco-system of numerous minute
sensors. In addition, because of the smartphone's ability to handle complex multimedia signal processing and
the ability to increase by leaps and bounds with the increase in power consumption, it is imperative to expand
the battery charging capacity [18]. Low power consumption and longer battery life are two research areas of
6G to solve the daily charging challenges faced by most communication devices and improve communication
needs. As a result, a thorough energy-saving wireless communication strategy will be required for 6G. A key
objective of 6G communication is to use battery-free communications whenever possible, with a
communication efficiency of 1 Pico-joule per bit [7]. 6G communications provide the benefits of high-power
terahertz waves, allowing devices to transmit power beams in specific directions, and use MIMO antenna
arrays to guide beam communications. This method has the ability to offer enough power to devices inside
the network's service area. According to the 6G vision and guidance outlined in [2], in 6G, research should
focus on battery life and service categories, rather than latency and data throughput. To save energy, the
processing operations of the user nodes should be transferred to intelligent base stations with a reliable power
supply or general intelligent radio space [19]. Cooperative relay communication and network densification
are also crucial for reducing the single-hop signal propagation gap and mobile node transmission power [20],
[21]. Long battery life in 6G is achieved through a mix of divergent energy-harvesting technologies that
collect energy not only from surreal RF waves but similarly from sunlight and micro-vibrations [22], [23].
Wireless power charging over a long distance could also be a viable option for extending battery life [24],
[25]. Furthermore, decentralized laser charging is a system that might give 2-W power to mobile devices
safely over a distance of up to 10 meters [1].
Finally, we can say that the real breakthrough will come when considering frequencies beyond 100
GHz. The large bandwidth available here is of particular interest, first in the D-band at about 140 GHz and
then in the 300 GHz range. Of course, they still exist. Some major challenges require technology solutions
6. ISSN: 2302-9285
Bulletin of Electr Eng & Inf, Vol. 10, No. 6, December 2021 : 3249 – 3255
3254
that can break the limits of silicon. Potential approaches also include hybrid silicon and IIIV technologies,
aiming to achieve the Fmax=1 THz transistor and very small antenna cointegration at the wafer or packet
level. So far, the convergence of these solutions has not been found, but some trends are emerging. The
CEALeti team is considering two specific aspects. In terms of transceivers, to avoid high bandwidth
conversion and power consumption, channel bonding/aggregation has attracted people's attention and the
100Gbps performance of more than 16 channels has been proven. In terms of antennas, the focus of the work
is to use a single transceiver/FEM transmission set, rather than the more classical phase shift architecture,
which requires one transceiver/FEM per mosaic.
3. CONCLUSION
This research has taken a thorough and in-depth look at the fundamental key performance indicators
that will be needed in the 6G era between 2025 and 2035. This study began by highlighting some of the most
important aspects and implications of 6G wireless networks. The study then went over the key differences
between 6G and 5G in terms of KPIs, such as max data rate, mobility needs, linked devices/Km2, area traffic
capacity, latency, dependability, network spectrum, and energy efficiency. 6G will upgrade and expand 10-
100 times the data speed, larger system capacity, higher spectrum efficiency, lower latency, wider and deeper
coverage, and fully empower the creation of a ubiquitous intelligent mobile society.
ACKNOWLEDGEMENTS
The author wishes to express his gratitude to the editors of BEEI as well as anonymous reviewers
for their time and efforts in reviewing this manuscript.
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BIOGRAPHIES OF AUTHORS
Ahmad A. A. Solyman received the degree from the University of Strathclyde, U.K., in
2013. His Ph.D. researches include in multimedia services over wireless networks using
OFDM. He is currently an Assistant Professor with the Department of Electrical and
Electronics Engineering, Istanbul Gelisim University, Turkey. His research interests contain
wireless communication networks and MIMO communication systems.
Khalid Yahya received the Ph.D. degree in electrical engineering from Kocaeli University,
Kocaeli, Turkey, in 2018. He is currently working as an Assistant Professor of mechatronics
engineering with Istanbul Gelisim University, Turkey. He has published over a dozen articles
in prestigious journals and conferences. He is an active reviewer of many conferences and
journals. His current research interests include microelectronic circuit analysis and design,
renewable energy resources, power electronics, and MPPT designs for energy harvesting
systems and information security.