一种贪婪的异构多信道并行合作频谱感知方法

为了同时对多个异构信道进行有效地合作频谱感知，并克服现有方法中只考虑检测准确性而忽略感知开销和系统效益，忽略不同认知用户对不同异构信道感知性能的差异以及参与合作感知的认知用户较多等问题，提出了一种贪婪的异构多信道并行合作频谱感知方法。根据对感知开销和传输收益的定义，充分考虑不同认知用户对不同异构信道感知性能的差异，利用贪婪算法在多个认知用户和多个异构信道间最优地进行感知任务分配，使总系统效益最大。仿真结果表明，所提方法与基于迭代匈牙利的并行合作频谱感知方法、改进的基于迭代匈牙利的并行合作频谱感知方法和随机的合作频谱感知方法相比，能够获得较高的总系统效益，且所需的参加合作感知的认知用户数较少。

A greedy parallel cooperative spectrum sensing method for multiple heterogeneous channels

To simultaneously and efficiently cooperatively sense multiple heterogeneous channels,and overcome some problems in current methods,such as only considering the sensing accuracy instead of the sensing overhead and the transmission gain,neglecting the difference of detection performance between different secondary users and different heterogeneous channels,and requiring more cooperative secondary users,a greedy parallel cooperative spectrum sensing method for multiple heterogeneous channels is proposed. According to the definitions of sensing overhead and transmission gain and considering the difference of detection performance between different secondary users and different heterogeneous channels,it uses greedy algorithm to optimally assign the sensing task between multiple secondary users and multiple heterogeneous channels to maximize the total system profit. The simulation results show that the proposed method can obtain higher system profit and requires less cooperative secondary users than iterative Hungarian algorithm based parallel cooperative spectrum sensing method,improved iterative Hungarian algorithm based parallel cooperative spectrum sensing method,and random cooperative sensing method.