认知Wi-Fi网络中使用相关均衡的频谱共享算法

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．

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

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' 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.