2023/03/11 by Vu Nguyen Ha, Eva Lagunas, Ha, Vu Nguyen +9 · 1 citation
Computer Science · Engineering · #Age of Information Optimization #FOS: Electrical engineering #Satellite Communication Systems #Signal Processing (eess.SP) #Spacecraft Design and Technology #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2303.06372
openalex publication_date 2023/03/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.