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arxiv logo>cs> arXiv:2211.06095
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Computer Science > Networking and Internet Architecture

arXiv:2211.06095 (cs)
[Submitted on 11 Nov 2022]

Title:Continent-wide Efficient and Fair Downlink Resource Allocation in LEO Satellite Constellations

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Abstract:The integration of Low Earth Orbit (LEO) satellite constellations into 5G and Beyond is essential to achieve efficient global connectivity. As LEO satellites are a global infrastructure with predictable dynamics, a pre-planned fair and load-balanced allocation of the radio resources to provide efficient downlink connectivity over large areas is an achievable goal. In this paper, we propose a distributed and a global optimal algorithm for satellite-to-cell resource allocation with multiple beams. These algorithms aim to achieve a fair allocation of time-frequency resources and beams to the cells based on the number of users in connected mode (i.e., registered). Our analyses focus on evaluating the trade-offs between average per-user throughput, fairness, number of cell handovers, and computational complexity in a downlink scenario with fixed cells, where the number of users is extracted from a population map. Our results show that both algorithms achieve a similar average per-user throughput. However, the global optimal algorithm achieves a fairness index over 0.9 in all cases, which is more than twice that of the distributed algorithm. Furthermore, by correctly setting the handover cost parameter, the number of handovers can be effectively reduced by more than 70% with respect to the case where the handover cost is not considered.
Comments:Submitted to IEEE International Conference on Communications (ICC), 2023
Subjects:Networking and Internet Architecture (cs.NI); Signal Processing (eess.SP)
Cite as:arXiv:2211.06095 [cs.NI]
 (orarXiv:2211.06095v1 [cs.NI] for this version)
 https://doi.org/10.48550/arXiv.2211.06095
arXiv-issued DOI via DataCite

Submission history

From: Israel Leyva-Mayorga [view email]
[v1] Fri, 11 Nov 2022 10:02:34 UTC (855 KB)
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