为提高频谱感知的效率,提出了一种在资源受限的认知无线电网络中合作频谱感知参数优化算法,在保证对授权用户的干扰不超过指定门限时,对信道利用效率与系统资源利用效率进行选择性加权,使认知无线电网络的感知效率最大化.针对不同使用特征的授权信道,该算法均可求解出相应的最优感知参数组合.仿真结果表明,在避免干扰授权用户的前提下,最优感知参数组合系统能最大化感知效率.
To improve the efficiency of spectrum sensing and to maximize the system sensing efficiency with meeting interference avoidance constraint,a parameters optimization algorithm for cooperative spectrum sensing in resource-limited cognitive radio networks is proposed.By operating the optional weights between the channel utilization efficiency and system resources usage efficiency,the proposed algorithm can figure out the optimal sensing parameters for each licensed channel with the unique usage characteristic.Simulation shows that using the optimal sensing parameters can maximize the sensing efficiency and satisfy the interference avoidance requirement for protecting the primary users.