基于列车用户优先级的频谱共享博弈算法

不同业务优先级高速铁路用户的爆炸式业务需求与稀缺频谱资源的矛盾日益突出。针对运行于不同地形环境、在相同eNB覆盖范围内的高速铁路次用户的频谱共享博弈问题进行研究。基于次用户承载业务的不同优先级,提出模糊综合评判-优先级调度算法,将次用户间的频谱竞争建模为非合作博弈,通过次服务的频谱效用函数、主系统的频谱交易价格函数实现次用户间的差异化动态频谱共享。仿真结果表明,算法较好地反映了真实的频谱共享情形,可以更加准确地对次用户频谱需求进行业务优先级划分,提高频谱利用率的同时保证了其最大效用。

Spectrum Sharing Game Algorithm with Train User Priority

The contradiction between the explosive growth of business needs of high-speed railway users with different priorities and the scarcity of radio spectrum resources has become increasingly prominent.This paper studied the spectrum sharing game of secondary users(SUs)in high-speed trains,which run in different terrain environments but within the same eNB coverage.A fuzzy synthetic evaluation(FSE)-based priority scheduling algorithm was presented,based on different business priorities of SUs.The spectrum competition between SUs was modeled as a non-cooperative game.The spectrum utility function of secondary service and the spectrum transaction price function of primary system were investigated,which realized the differential spectrum sharing among SUs.The simulation results show that the proposed algorithm well reflects the real spectrum sharing situation,and accurately classifies the business priorities of SUs with different spectrum requirements,which improves the spectrum utilization and ensures the maximum spectrum utility.