摘要
稀缺的无线频谱资源、低频谱利用率以及日渐增长的无线通信需求导致主用户与次级用户共存的现状,因而需要设计一种新的无线频谱管理策略来改善当前固定的频谱分配方式。本文将认知TDMA网络中的频谱分配问题构建为基于合作博弈理论的纳什协商模型,提出一种非对称纳什协商方法将无线频谱资源分配给具有感知权值的多个次级用户,以最大化频谱利用率。通过数值计算能够在可行Pareto边界上找到唯一的最优解。另外,感知权值激励需要更高传输速率的次级用户去主动感知可用无线频谱信息。仿真分析表明,在可变用户连接数目和接收信噪比等场景下,文章提出的ANBS方法同样公平有效的在次级用户间均衡系统中的可用授权频谱,提高了频谱利用效率。
Scarce radio spectrum resources,inefficient spectrum usage and increasing wireless communication requirements are leading to the coexisting of primary users and secondary users,and thus a more flexible spectrum management policy is needed to improve the current fixed one.This paper formulates the spectrum allocation in cognitive TDMA network as a Nash bargaining model derived from the cooperative game.We propose an asymmetric Nash bargaining solution(ANBS)to maximize the spectrum utility via allocating them to secondary users with respective sensing weight under consideration.Simulation results have proved the unique optimal solution in the feasible Pareto bounds via numerical calculation.Furthermore,the sensing weights of secondary users requiring high speed transmission prompt the potential of spectrum sensing.Our ANBS is also fair and efficient to proportion the licensed available radio spectrum resources to multiple secondary users in the system under variable ongoing connections and received signal-to-noise ratio(snr),hence to improve the radio spectrum utilization.
作者
李倩
Li Qian(Department of Electrical Engineering,Shandong Vocational College of Industry,Zibo 256414,China)
出处
《中国新通信》
2019年第7期218-220,共3页
China New Telecommunications
基金
2015年度山东省高等学校科技计划自筹经费项目(项目编号:J15LN76)
关键词
认知无线电
时分多址
频谱分配
非对称Nash协商方法
cognitive radio
Time Division Multiple Address
spectrum allocation
asymmetric Nash bargaining solution
