Khandaker Muhammad R A, Wong Kai-Kit
Department of Electronic and Electrical Engineering, University College London, Torrington Place, London, WC1E 7JE UK.
EURASIP J Adv Signal Process. 2017;2017(1):24. doi: 10.1186/s13634-017-0453-4. Epub 2017 Mar 7.
This paper considers multiple-input multiple-output (MIMO) relay communication in multi-cellular (interference) systems in which MIMO source-destination pairs communicate simultaneously. It is assumed that due to severe attenuation and/or shadowing effects, communication links can be established only with the aid of a relay node. The aim is to minimize the maximal mean-square-error (MSE) among all the receiving nodes under constrained source and relay transmit powers. Both one- and two-way amplify-and-forward (AF) relaying mechanisms are considered. Since the exactly optimal solution for this practically appealing problem is intractable, we first propose optimizing the source, relay, and receiver matrices in an alternating fashion. Then we contrive a simplified based on the error covariance matrix decomposition technique, avoiding the high complexity of the iterative process. Numerical results reveal the effectiveness of the proposed schemes.
本文考虑多小区（干扰）系统中的多输入多输出（MIMO）中继通信，其中MIMO源 - 目的节点对同时进行通信。假设由于严重衰减和/或阴影效应，通信链路只能借助中继节点来建立。目标是在源和中继发射功率受限的情况下，使所有接收节点中的最大均方误差（MSE）最小化。同时考虑了单向和双向放大转发（AF）中继机制。由于这个实际应用中很有吸引力的问题的精确最优解难以处理，我们首先提出以交替方式优化源、中继和接收器矩阵。然后我们基于误差协方差矩阵分解技术设计了一种简化方法，避免了迭代过程的高复杂度。数值结果表明了所提方案的有效性。
