基于隐马尔科夫模型的动态频谱管理策略研究
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摘要
针对非理想环境下的频谱管理问题,提出了一种频谱感知与频谱切换联合设计方案。将频谱感知性能参数P_(FA)(虚警概率)和P_(MD)(漏警概率)引入到隐马尔科夫模型的要素,同时考虑频谱切换性能对频谱感知参数设置的影响。通过搭建分簇认知无线电系统的应用场景,仿真验证此设计方案明显降低了主用户的干扰,同时也降低了次用户的频谱处理时延,从而避免了次用户服务阻塞,达到提升用户服务的目的。
Aiming at the spectrum management problem in non-ideal environment, a joint design scheme of spectrum sensing and spectrum switching is proposed. By introducing the spectrum-aware performance parameters PFA(false alarm probability) and PMD(missing probability) into the elements of the hidden Markov model, the influence of the spectrum switching performance on the spectrum sensing parameter setting is simultaneously considered. And then the application scenario of the clustered cognitive radio system is constructed. The simulation indicates that this design scheme could significantly reduce the interference by the primary user, and the spectrum processing delay of the secondary user, thus to avoid the secondary user service blocking and achieve the purpose of user service improvement.
Aiming at the spectrum management problem in non-ideal environment, a joint design scheme of spectrum sensing and spectrum switching is proposed. By introducing the spectrum-aware performance parameters PFA(false alarm probability) and PMD(missing probability) into the elements of the hidden Markov model, the influence of the spectrum switching performance on the spectrum sensing parameter setting is simultaneously considered. And then the application scenario of the clustered cognitive radio system is constructed. The simulation indicates that this design scheme could significantly reduce the interference by the primary user, and the spectrum processing delay of the secondary user, thus to avoid the secondary user service blocking and achieve the purpose of user service improvement.
引文
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[2]Chen Z,Qiu RC.Prediction of Channel State for Cognitive Radio Using Higher-Order Hidden Markov Model[C].IEEE Southeast Con(SoutheastCon),USA:Concordia University,2010:276-282.
[3]Ephraim Y Merhav N.Hidden Markov Processes[J].IEEE Transactions on Information Theory,200248(6):1518-1569.
[4]Luo T,Jiang T,Xiang W,et a1.A Subcarfiers Allocation Scheme For Cognitive Radio Systems Based on Multicarrier Modulation[J].IEEE Transactions on Wireless Co mmunications,2008,7(9):3335-3340.
[5]Ghasemi A,Sousa E.Collaborative Spectrum Sensing For Opportunistic Access in Fading Environments[C]IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks(DySPAN).Baltimore:Maryland,USA,2005:13l-136.
[6]Wang B,Liu KJR.Advances in cognitive radio networks:A survey[J].IEEE Journal of Selected Topics in Signal Processing,2011,5(1):5-23.
[7]张华晶,徐少毅,乔晓瑜.认知无线网络中基于用户需求和频谱聚合的动态频谱分配[J].电信科学,2010,26(12):63-67.ZHANG Hua-jing,XU Shao-yi,QIAO Xiao-yu.Dynamic Spectrum Allocation Based on User Requirements and Spectrum Aggregation in Cognitive Wireless Networks[J]Telecommunications Science,2010,26(12):63-67.
[8]QIAO Xiao-yu,TAN Zhen-hui Li,LI Jia-jun.Combined Optimization of Spectrum Handoff and Spectrum Sensing for Cognitive Radio Systems[C].IEEE WiCom2011,Wuhan,China,2011:1-4.
[9]QIAO Xiao-yu,TAN Zhen-hui,AI Bo,et al.Spectrum Handoff for Cognitive Radio Systems Based on Prediction Considering Cross-layer Optimization[J]IEICE Transactions on Communications,201093(12):3274-3283.