Shannon Wireless’ Post

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This paper proposes a #distributionally #robust #optimization (#DRO) model to minimize, under uncertain latency probability distributions, the expected worst-case overall task routing delay from source to target user equipment through satellite constellation. The model addresses undetermined #uploading and #downloading latency between automobiles, satellites, and user equipment by employing the #Wasserstein #ambiguity #set, allowing for unpredictable vehicle mobility and intermittent connections. By reformulating the problem into a tractable form, the authors determine the optimal routing path for #task #uploading, #satellite #constellation, and #task #downloading. Ultimately, the performance of the proposed DRO model demonstrates the model’s ability to address the challenges of integrated satellite-terrestrial network routing.----Kai-Chu Tsai, Lei Fan, Ricardo Lent, Li-Chun Wang, @Zhu Han More details can be found at this link: https://lnkd.in/gn2tEe9H

Distributionally Robust Optimal Routing for Integrated Satellite-Terrestrial Networks Under Uncertainty

Distributionally Robust Optimal Routing for Integrated Satellite-Terrestrial Networks Under Uncertainty

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Yuan Zi

AI Research Intern | Signal Processing, Deep Learning, Computer Vision, Python

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Insightful!

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