一种基于信漏噪比的多用户优化预编码迭代算法

An iterative algorithm for multi-user optimal precoding based on SLNR

提出了一种新的基于信漏噪比的多用户优化预编码迭代算法。在深入分析和发掘系统设计中预编码矩阵和接收合并矩阵之间的内在联系的基础上,利用新提出的迭代算法解决其本质上存在的嵌套关系,从而实现系统综合性能优化。数字仿真从平均误码率与系统和速率两个层面对新算法进行验证。结果表明,新方案相较于原始基于信漏噪比的方案以及过去提出的其他经典方案具有明显性能优势。因其迭代算法收敛迅速,因此具有工程实践价值。

This paper proposes a novel iterative algorithm for multi-user optimal preceding based on signal-to-leakage-and-noise ratio （SLNR）. We analyze and dig out the inherent relationship between the precoding matrices and receive-combining matrices, and realizes the overall performance optimization by making use of the new iterative algorithm to solve the nesting problem. The novel algorithm is verified from the average symbol-error-rate （SER） and the system sum rate aspects in the numerical simulations. As a result, we observe that the design based on our proposed algorithm is superior to the original design using SLNR and many other classical designs. Furthermore, for the rapid convergent speed, the proposed iterative algorithm is practical in engineering.