基于隐马尔科夫模型的动态频谱管理策略研究

Dynamic Spectrum Management Strategy based on Hidden Markov Model

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PFA(虚警概率)和PMD(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.