摘要
对认知无线网络中动态频谱分配算法进行了研究,在分析原有的ADP(Asynchronous Distributed Pricing)算法的前提下,运用合作博弈的理论提出了具有干扰价格因子的ADP算法,分配过程中所有用户发布自己的干扰价格,用户在选择信道和功率的时候需要考虑到自身的效用和对其它用户的干扰,可以在有效保证高优先级用户性能的前提下最大化网络效用。仿真结果表明,该算法可以达到纳什均衡并且具有极快的收敛速度,可以提高高优先级用户的信干噪比。
The dynamic spectrum allocation algorithm of cognitive wireless networks is studied in this paper.Based on the analysis of the ADP(Asynchronous Distributed Pricing) algorithm,the advanced ADP algorithm with interference pricing factor is proposed using cooperation game.All users publish their prices and select the channel and power to consider their effectiveness and the interference to other users.The performance of high-priority users can be effectively guaranteed under the premise of maximizing network utility.Simulation results show that the algorithm can reach the Nash equilibrium with a fast convergence rate and can improve the high-priority user′s SINR.
出处
《电讯技术》
北大核心
2010年第11期38-43,共6页
Telecommunication Engineering
基金
国家自然科学基金资助项目(60832008
60832006)
国家重点基础研究发展计划(973计划)项目(2009CB320400)
国家科技重大专项(2009ZX03007-004)~~