摘要： 针对高铁环境中包含多个主用户的主服务和多个次用户的频谱分配问题，提出一种认知博弈频谱共享算法。引入次用户优先级和用户传输业务等级，满足不同优先级用户的不同业务频谱使用需求，并根据主基站和次用户的距离变化更新主服务向次用户提出的价格函数，获得静态博弈下的纳什均衡解，同时分析不完全信息和完全信息的动态博弈，确定不完全信息动态博弈的稳定区间。分别对静态博弈和动态博弈进行仿真，结果表明，在该算法下，当次用户优先级相同时，不同业务等级租借不同的带宽，业务等级越高，租借的带宽也越多，随着距离的变化，较高的业务等级频谱变化较为迅速，而在同一业务等级下，用户优先级越高，则会租借到更多的频谱。

关键词: 高铁旅客, 认知无线电, 频谱共享, 博弈论, 业务等级

Abstract: To solve the problem of spectrum allocation in high-speed railway environment, a cognitive game spectrum sharing algorithm is proposed. The priority and the transmission service level of the secondary users are introduced to meet different service spectrum requirements of different priority users. According to the distance change between the primary base station and the secondary user, the price function proposed by the primary service to the secondary users is updated. To obtain the Nash equilibrium solution in static game. This paper also analyzes the dynamic game of incomplete information and complete information, and the stable interval of dynamic game of incomplete information is determined. Finally, the static game and the dynamic game are simulated respectively. The results show that the proposed algorithm rents different bandwidth at different service levels with the same SU priority. The higher the service level is, the more bandwidth is leased. With the change of distance, the spectrum of higher service level changes more quickly. Under the same service level, the user with higher priority will rent more spectrum.

Key words: high-speed railway passengers, Cognitive Radio(CR), spectrum sharing, game theory, service level

中图分类号: 

• TN929.5