为提高多信道认知无线电的吞吐量,提出了协作频谱感知子信道次用户和传输功率的联合分配算法。该算法基于主用户的存在状态,在约束次用户协作检测概率和总功率的基础上,以最大化次用户所有子信道的吞吐量总和为目标,通过交替方向优化获得子信道次用户和传输功率的联合分配。仿真结果表明:文中提出的联合分配算法通过较少的迭代次数就可以获得最优值,并且能够根据子信道状态动态地分配子信道次用户和传输功率,提高了次用户的吞吐量。
In order to improve the throughput of multi-channel cognitive radio (CR),a joint allocation algorithm of secondary user (SU)and transmission power for each sub-channel in the cooperative spectrum sensing is proposed. Based on the present state of the primary user,the proposed algorithm aims to maximize SU's total throughput over all the sub-channels subjected to the constraints such as SU's cooperative detection probability and total power,and achieves the joint allocation of SU and transmission power for each sub-channel through alternative direction optimi-zation.Simulated results show that the proposed algorithm helps to obtain the optimal value with less iteration and improves SU's throughput by dynamically allocating the SU and the transmission power of each sub-channel accor-ding to the sub-channel state.