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在认知协作中继网络场景下,中继节点利用其与认知基站以及认知用户的不同公共信道为两者的通信转发数据,可以提高频谱利用率和系统吞吐量。针对认知无线电系统的协作通信问题,提出了一种基于放大转发模式下联合优化中继选择和预编码设计算法,在中继节点发射功率约束和主用户干扰功率约束的情况下,最大化认知系统的吞吐量。通过半定松弛技术,忽略1-秩约束条件,同时利用Charnes-Cooper变换,将原优化问题转化为半定规划,最后利用已有的内点法工具箱CVX对其进行有效的求解。仿真结果表明,提出的预编码方案能获得更高的平均吞吐量。
In the cognitive cooperative relay network scenario, the relay node forwards the data by using their different common channels with the cognitive base station and the cognitive user, so as to improve spectrum utilization and system throughput. Aiming at the cooperative communication problem of cognitive radio system, a joint optimization relay selection and precoding design algorithm based on amplification and forwarding mode is proposed. Under the constraints of transmit power constraint and primary user interference power constraint, Know the system throughput. The semi-definite relaxation technique is used to ignore the 1-rank constraints and the original optimization problem is transformed into a semi-definite programming by using the Charnes-Cooper transformation. Finally, the existing interior point method toolbox CVX is used to solve the problem. Simulation results show that the proposed precoding scheme can achieve higher average throughput.