认知无线电网络中基于均方误差的预编码设计

MSE-based Precoding Design for Cognitive Radio Networks

基于认知无线电的概念,研究了一个多中继的认知无线电场景,设计了基站与中继的预编码矩阵,来最小化具有最大均方误差(MSE)的次用户的MSE值,同时保证主用户的MSE小于一定的阈值且中继的功率满足约束条件,将此优化问题转化为一个凸优化问题,并通过凸优化软件包来获得基站和中继预编码矩阵的最优数值解。最后,仿真结果验证了所提方案的有效性。

According to the concept of cognitive radio, a cognitive radio scenario that consists of multi-relay is considered, and the precoding matrices for base station and relays to minimize the maximum MSE value of secondary users is designed, while constraining the MSE of primary users less than a fix value and the power of relays will obey the constrain requirement, after that, the optimization problem is reformulated into a convex form and the precoding matrices of base station and relays can be solved by software package. Finally, simulation results are provided to verify the effectiveness of the proposed scheme.