认知Wi-Fi网络中使用相关均衡的频谱共享算法

Correlated equilibrium-based spectrum sharing algorithm design for the cognitive Wi-Fi networks

认知Wi-Fi网络是基于认知无线电技术、感知和利用电视频谱白空的新型无线局域网.在该无线网络环境下,设计了集中式和分布式两种基于相关均衡的频谱共享算法.综合考虑了认知Wi-Fi网络的频谱分裂特性、多网间的互扰和用户的业务需求等,将频谱共享问题建模为非协作博弈.两种算法分别考虑了有效性和复杂度.其中,集中式算法可最大化网络整体收益,而分布式算法无须引入信息交互.仿真结果表明,相较于贪婪算法,这两种算法均能提升网络收益.

The cognitive Wi-Fi network is a novel WLAN（ wireless local area network） operating on TVWS （ TV white space） with cognitive radio technology . Two equilibrium -based spectrum sharing algorithms are proposed in this wireless network , which are implemented in a centralized way and a distributed way , respectively . Comprehensively considering the spectrum fragmentation , the interference among networks and the clients＆#39; traffic requirements , the spectrum sharing problem is formulated as a noncooperative game . The two algorithms consider the efficiency and complexity , respectively . To be specific , the centralized algorithm can maximize the whole payoff of the networks , while the distributed algorithm can be realized without information interaction . Simulation results show that , compared to the greedy algorithm , both of the two proposed algorithms can achieve higher benefits .