基于RMT的协作MIMO频谱感知

Cooperative MIMO spectrum sensing based on random matrix theory

针对认知无线电技术中的频谱感知问题,将已经广泛应用于无线通信领域的随机矩阵理论(RMT)引入到多认知用户MIMO环境中,提出了基于随机矩阵理论的协作MIMO频谱感知算法。该算法不需要预知噪声的统计特性和噪声方差,而是利用大维随机矩阵特征值的极限分布特性进行频谱感知。新算法充分利用了协作技术及MIMO技术的优点来提高感知性能。理论分析和仿真结果均表明,新算法整体性能优于同类算法和典型的能量检测算法。

To improve the effectiveness of spectrum sensing in cognitive radio, random matrix theory （RMT） widely used in wireless communication networks was introduced into multi-cognitive-user MIMO circumstance, and a new cooperative MIMO scheme for frequency band sensing was proposed based on asymptotic random matrix theory. Unlike previous work in the field, the new scheme did not require the knowledge of the noise statistics or its variance and was related to the limited distribution of random matrices eigenvalues. Both theoretical analysis and the simulation results show that the new algorithm outperforms similar algorithms and classical energy detection techniques.