Resource allocation algorithm for space-based LEO satellite network based on satellite association

As a crucial development direction for the sixth generation of mobile communication networks (6G), Low Earth Orbit (LEO) satellite networks exhibit characteristics such as low latency, seamless coverage, and high bandwidth.However, the frequent changes in the topology of LEO satellite networks complicate communication between satellites, and satellite power resources are limited.To fully utilize resources on satellites, it is essential to determine the association between satellites before power allocation.To effectively address the satellite association problem in LEO satellite networks, this paper proposes a satellite associationbased resource allocation algorithm.The algorithm comprehensively considers the throughput of the satellite network and the fairness associated with satellite correlation.It formulates an objective function with logarithmic utility by taking the logarithm and summing the satellite channel capacities.This aims to maximize the sum of logarithmic utility while promoting the selection of fewer associated satellites for forwarding satellites, thereby enhancing the fairness of satellite association.The problems of satellite association and power allocation are solved under constraints on resources and transmission rates, maximizing the logarithmic utility function.The paper employs an improved Kuhn-Munkres (KM) algorithm to solve the satellite association problem and determine the correlation between satellites.Based on the satellite association results, the paper uses the Lagrangian dual method to solve the power allocation problem.Simulation results demonstrate that the proposed algorithm enhances the fairness of satellite association, optimizes resource utilization, and effectively improves the throughput of LEO satellite networks.