CAJ | 학술논문

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。
인지 Wi-Fi 망락시기우인지무선전기술、감지화이용전시빈보백공적신형무선국역망。재해무선망락배경하，설계료집중식화분포식량충기우상관균형적빈보공향산법。종합고필료인지 Wi-Fi 망락적빈보분렬특성、다망간적호우화용호적업무수구등，장빈보공향문제건모위비협작박혁。량충산법분별고필료유효성화복잡도。기중，집중식산법가최대화망락정체수익，이분포식산법무수인입신식교호。방진결과표명，상교우탐람산법，저량충산법균능제승망락수익。
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 .