报告信道传输错误环境下协作感知最优用户数分析

On the Optimum Number of Users in Collaborative Spectrum Sensing with Reporting Channel Errors

  • 摘要: 认知无线电网络中多个用户相互协作进行频谱感知能有效提高系统的感知性能,然而当各用户将本地感知信息经无线信道发送至中心控制器时,若因信道衰减等因素出现传输错误又会降低系统性能。该文针对这种网络环境,探索了参与协作的用户数目与系统感知性能的关系,并从授权/认知用户两个角度分别讨论协作感知最优用户数的计算方法。理论分析与仿真结果表明:网络中所有用户均参与协作不一定能获取最优性能;当选取具有较高感知信噪比条件的一定数目的用户进行协作反倒能实现最优,并且该最优用户数与网络的规模成正比,与报告信道传输错误概率成反比。

     

    Abstract:  Collaborative spectrum sensing can effectively improve the sensing performance through utilizing the diversity from different cognitive users. However, this performance can also be degraded since the sensing data are sent via wireless reporting channels which could severely fade the sensing results. In this paper, we investigate the relationship between the number of collaborating users and system sensing performance. The optimal number of collaborating users is calculated and analyzed from two perspectives: licensed users and cognitive users. Our theoretical results along with the simulations show that collaborating all cognitive users in the network does not necessarily achieve the optimal performance. Instead, the optimal performance is reached by collaborating a group of users that have higher sensing signal-to-noise ratios. Additionally, the optimal number of users increases as the size of the network increases, and it decreases as the reporting channel error increases.

     

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