Largest Generalized Eigenvector Precoder for CoMP-JT Massive MIMO Systems

Xianglong Yu, Hanqing Wang, Yiling Yuan, Xiaohan Wang, Hao Chen
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引用次数: 0

Abstract

In this paper, we investigate the downlink (DL) precoder design in coordinated multi-point joint transmission massive multiple-input multiple-output systems. The DL precoder design problem is formulate to maximize the sum-rate under the per base station transmit power constraint. Utilizing the first-order condition, the structure of the optimal precoder is derived, involving the generalized eigenvectors of a pair of matrices. In accordance with this, the largest generalized eigenvector (LGEV) precoder is proposed to solve the first-order condition in an iterative manner, which involves solving the complicated generalized eigenvalue problem in each iteration. Specifically, we propose to solve the eigenvalue problem numerically for low-complexity implementation based on the inverse free Krylov subspace method. Simulation results demonstrate that the proposed LGEV precoder achieves satisfactory performances with fast convergences within a couple of iterations.
CoMP-JT大规模MIMO系统的最大广义特征向量预编码器
本文研究了协调多点联合传输大规模多输入多输出系统中的下行链路预编码器设计。提出了在每个基站发射功率约束下,最大限度地提高和速率的DL预编码器设计问题。利用一阶条件,导出了最优预编码器的结构,该结构涉及一对矩阵的广义特征向量。据此,提出了最大广义特征向量(LGEV)预编码器,以迭代的方式求解一阶条件,这涉及到在每次迭代中求解复杂的广义特征值问题。具体而言,我们提出了基于自由逆Krylov子空间方法的低复杂度实现的特征值问题的数值求解。仿真结果表明,所提出的LGEV预编码器在几次迭代内取得了令人满意的性能,收敛速度快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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