认知网中一种基于隐马尔可夫的多信道功率控制机制

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。

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

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.