A Multi-objective Satellite Handover Strategy Based on Entropy in LEO Satellite Communications
Senbai Zhang, Aijun Liu, Xiaohu Liang
Abstract
In low earth orbit (LEO) satellite networks, because the speed of LEO satellite is much faster than that of mobile node, a satellite unable to provide services for a user continuously. In order to ensure the user's communication will not be interrupted, the satellites service the users one by one. In this paper, based on weighted bipartite graph in LEO satellite networks, we proposed an access and handover strategy for the links between satellites and users. The quality of service that the satellite can provide for users is regarded as the weight of the edge in the bipartite graph, which is regarded as a multi-objective optimization problem. Since the multi-objective problem can't make all the objectives to be optimal at the same time, this paper uses the entropy method to weight each target and transforms it into a single objective optimization problem. The simulation results show that the proposed method is better than the existing methods for users and the system.