基于授权用户活动性的认知无线电频谱分配算法

Cognitive Radio Spectrum Allocation Algorithm Based on Licensed User Activities

考虑授权用户工作状态的切换概率对认知无线电系统的频谱分配的影响,提出了一种新的认知无线电频谱分配算法.在定义收益期望的基础上,从概率角度提出了两个新的效用函数,分别反映认知系统总的平均信道收益期望和收益期望公平性;并给出了算法的具体步骤.仿真结果表明:与传统的信道分配算法相比,新算法在认知系统总的频谱利用率效用上优势明显;在授权用户工作状态频繁切换时表现出了较好的系统公平性,更具有现实应用意义.

By taking into consideration the influence of the handoff probability of licensed user＇s working states on the spectrum allocation in cognitive radio （CR） networks, this paper proposes a new cognitive radio spectrum allo- cation algorithm. In the algorithm, based on the definition of income expectation, two new utility functions are pre- sented from the perspective of probability, which respectively reflect the total average channel income expectation and the fairness of the income expectation of cognitive systems. Then, some specific steps of the proposed algorithm are provided. Simulation results show that, as compared with the traditional channel allocation algorithms, the pro- posed algorithm has an obvious advantage in terms of the total spectrum utilization in the cognitive system; and that it displays excellent system fairness when the licensed user＇ s working states frequently change, which means that the proposed algorithm is of more practical significance.