认知网中一种基于隐马尔可夫的多信道功率控制机制  

Multi-channel Power Control Mechanism Based on Hidden Markov in Cognitive Network

作　　者：朱江[1] 马骁[1] 尹耀虎 ZHU Jiang;MA Xiao;YIN Yao-hu(Chongqing Key Lab of Mobile Communications Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)

机构地区：[1]重庆邮电大学移动通信技术重庆市重点实验室,重庆400065

出　　处：《计算机科学》2018年第9期156-160,共5页Computer Science

基　　金：国家自然科学基金(61102062);教育部科学技术研究重点项目(212145);重庆市科委自然科学基金(cstc2015jcyjA40050)资助

摘　　要：在分布式多信道接入认知无线网中,针对用户获取环境信息不对称导致资源分配冲突的问题,根据非授权用户对信道状态判决结果的相关性,提出一种基于隐马尔可夫的多信道功率博弈机制。该机制选取合理的价格函数和有效地抑制非授权用户的自私行为,实现了非授权用户之间的频谱共享,并使其对信道上其他用户是否参与博弈进行推测,以获得较准确的博弈信息,从而选择更优的发射功率。仿真表明,该机制能使系统获得更高的有效容量,同时保证更多的用户达到速率需求。In the distributed multi-channel access cognitive radio network,to deal with the resource allocation conflict issue caused by asgmmetric environmental information of users,according to the correlations of channel detected results of unlicensed users,a multi-channel game-theoretic power control mechanism based on Hidden Markov model was proposed.The mechanism selectes reasonable price function to effectively suppress the selfish behavior of unauthorized users,and realizes the spectrum sharing between unlicensed users and makes them estimate whether other users on the channel would take part in the game,thus obtaining more accurate information about the game and choosing a better transmission power.The simulation results show that the system can achieve higher efficient capacity and ensure that more users meet the speed requirements.

关 键 词：非完全信息 多信道接入 隐马尔可夫 功率分配 

分 类 号：TN929[电子电信—通信与信息系统]