提出了一种下行多用户中继系统收发机联合优化算法,研究了基站端和中继端都采用预编码技术下基于最小均方误差准则的收发机联合优化问题.在第1跳信噪比较高的情况下,系统误差协方差矩阵可以简化分解为2个独立的部分,从而将两跳收发机联合优化问题的求解转化单跳多输人多输出(MIMO)优化问题进行求解,同时可以获得基站端预编码的闭式解,不仅简化了求解过程也降低了算法的计算复杂度和系统的信道信息反馈开销.仿真结果验证了算法的性能.
A joint transceiver optimization is proposed for downlink multiuser multiple-input multiple-out- put (MIMO) relay systems. The proposed method is based on minimum mean-square error criterion. U- sing high signal-to-noise ratio approximation, the error covariance matrix is decomposed into two individu- al error matrices, which leads to two simple problems for the optimization, the simple traditional MIMO optimization and the traditional muhiuser optimization. Moreover, the closed-form solution of the source precoding matrix can be obtained. The decomposition greatly degrades the complexity of the joint trans- ceiver design and mitigates the feedback overhead. Simulations verify the effectiveness of the proposed method.