一种基于演化博弈的低轨卫星切换算法研究

Research on LEO satellite handover algorithm based on evolutionary game

近年来利用低轨卫星组网提供全球覆盖的移动通信成为行业发展和研究的热点,低轨卫星角速度大,单颗卫星无法为用户提供持续的服务,用户需要根据卫星的通信覆盖范围不断切换接入新的卫星才能确保持续通信.针对大量用户同时切换,且有多颗卫星可以提供接入服务的场景,提出一种基于演化博弈的低轨卫星群组切换算法.根据用户的网络满意度、带宽价格满意度以及所需的带宽进行分组,由簇头决定同组用户在切换时的接入卫星,卫星为了保障负载能力和确保收益会调整带宽的价格,影响簇头的接入决策.通过建立用户与卫星的演化博弈模型,利用博弈达到均衡状态,实现用户和卫星的效用最大化.仿真实验表明了算法的有效性和稳定性,该算法可为未来全球低轨卫星移动通信的用户切换提供参考.

In recent years,global mobile communication based on Low Earth Orbit(LEO)satellite has become a hot topic in both academic and industry.LEO satellites with large angular velocity lead to frequent handovers to upcoming satellites in order to ensure continuous communication.In this paper,the LEO satellite handover algorithm based on the group and evolutionary game is proposed for a large number of simultaneous user handovers among multiple LEO satellites.Firstly,we devide users into clusters by their quality of communication service satisfaction,price satisfaction and bandwidth requirement.Then,cluster heads make the handover decision for their cluster members.In order to guarantee the quality of service and revenue,satellites will adjust bandwidth price,which will affect the decision of cluster heads.By establishing the evolutionary game model between cluster heads and satellites,maximum utility of them will be obtained through searching for the equilibrium state.Simulation results show the effectiveness and stability of the proposed algorithm.The algorithm can provide reference for user handovers of LEO global satellite mobile communication in the future.