一种基于授权信道特性的认知无线电频谱检测算法

针对认知无线电系统中频谱检测的频率直接影响系统容量以及与授权用户产生冲突的概率问题,分析了授权用户频谱使用的特性, 对授权用户行为进行统计建模, 提出一种自适应频谱检测算法. 引入控制因子, 在保证认知无线电系统稳定性的约束下, 自适应调整频谱感知的频率从而提高频谱利用率并减小系统冲突概率和检测开销, 进而降低了系统的能量消耗. 仿真结果表明, 该算法在保证不对授权用户产生干扰和一定的系统稳定性条件下, 有效地提高了系统的容量,并且具有良好的实用性和灵活性. 关键词： 认知无线电 自适应频谱检测 绿色通信 最大似然

A novel spectrum detecting algorithm for cognitive radio based on the characteristics of authorized channel

In a cognitive radio (CR) network, the system throughput and the probability of collision between primary users (PUs) and CR users are directly influenced by the frequency of spectrum sensing. This paper focuses on adaptively scheduling spectrum sensing such that negative impacts to the performance of the CR network are minimized. Based on an in-depth analysis into the spectral usage patterns of PUs, an adaptive spectrum detecting algorithm is proposed. By introducing a "control factor", the proposed algorithm can adaptively schedule the spectrum sensing, while maintaining the CR system stability, so as to increase spectral utilization efficiency, as well as reducing the probability of collision between PUs and CR users. Therefore, the energy consumption of the CR system is reduced. Simulations show that the proposed algorithm can effectively increase the system throughput, with minimal interference to primary users while ensuring the system stability. Meanwhile, it is shown that the proposed algorithm has low implementation complexity for practical applications.