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arXiv · 2303.06372

Large-Scale Beam Placement and Resource Allocation Design for MEO-Constellation SATCOM

Vu Nguyen Ha·Eva Lagunas·Tedros Salih Abdu·Haythem Chaker·Symeon Chatzinotas·Joel Grotz
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Abstract

This paper presents a centralized framework for optimizing the joint design of beam placement, power, and bandwidth allocation in an MEO satellite constellation to fulfill the heterogeneous traffic demands of a large number of global users. The problem is formulated as a mixed integer programming problem, which is computationally complex in large-scale systems. To overcome this challenge, a three-stage solution approach is proposed, including user clustering, cluster-based bandwidth and power estimation, and MEO-cluster matching. A greedy algorithm is also included as a benchmark for comparison. The results demonstrate the superiority of the proposed algorithm over the benchmark in terms of satisfying user demands and reducing power consumption.

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Vu Nguyen Ha, Eva Lagunas, Tedros Salih Abdu, Haythem Chaker, Symeon Chatzinotas, Joel Grotz. 2023-03-11. Large-Scale Beam Placement and Resource Allocation Design for MEO-Constellation SATCOM. https://arxiv.org/abs/2303.06372

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