Continent-wide Efficient and Fair Downlink Resource Allocation in LEO Satellite Constellations
Israel Leyva-Mayorga, Vineet Gala, Federico Chiariotti, and Petar, Popovski

TL;DR
This paper introduces distributed and global optimal algorithms for fair and efficient downlink resource allocation in LEO satellite networks, balancing throughput, fairness, and handover reduction.
Contribution
It proposes novel algorithms for satellite-to-cell resource allocation that improve fairness and reduce handovers in LEO satellite constellations.
Findings
Global optimal algorithm achieves fairness index over 0.9
Both algorithms attain similar average per-user throughput
Handover reduction exceeds 70% with proper parameter tuning
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSatellite Communication Systems · Age of Information Optimization · Advanced Wireless Network Optimization
