Proportional Fairness Based Resources Allocation Algorithm for LEO Satellite Networks

Abstract

Low Earth Orbit (LEO) satellite networks play an important role in global real-time satellite communication. However, due to the limitations of satellite bandwidth and power, it is urgent to utilize resources efficiently and prevent unnecessary resources waste. Existing researches usually focus on resources allocation for downlinks without considering Inter-Satellite Links (ISLs). This paper introduces proportional fairness by combining ground stations number with user data links life time and formulates the resources allocation problem among ISLs as a nonlinear mixed integer programming problem. Then Proportional Fairness based Resources Allocation algorithm is proposed to obtain the optimal solution using Swallow Swarm Optimization. It achieves proportional fairness among ISLs by sacrificing node throughput capacity. Moreover, the impact of counter-rotating seam and latitude regions is analyzed.