Dirty paper coding based optimal MIMO relay communications

Muhammad R. A. Khandaker, Y. Rong
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引用次数: 2

Abstract

In this paper, we address the optimal source and relay matrices design issue for a multiple-input multiple-output (MIMO) relay network using the dirty paper coding (DPC) scheme at the source node. The aim is to minimize the mean-squared error (MSE) of the signal waveform estimation at the destination. Using the property of uplink-downlink duality, the original DPC-based MIMO relay system is first converted to a dual system with a decision feedback equalizer (DFE) at the destination. Then we jointly optimize the source and relay matrices of the dual system. Finally the optimal source and relay matrices of the DPC-based system are obtained by exploiting the link between the source, relay, and destination matrices of the original and dual MIMO relay systems. Simulation results demonstrate that the proposed DPC-based MIMO relay system performs much better than the existing linear minimal MSE (MMSE)-based relaying approach in terms of bit-error-rate.
基于脏纸编码的最优MIMO中继通信
在本文中,我们讨论了在源节点使用脏纸编码(DPC)方案的多输入多输出(MIMO)中继网络的最佳源和中继矩阵设计问题。其目的是使目标信号波形估计的均方误差(MSE)最小。利用原有的基于dpc的MIMO中继系统的上行链路和下行链路的对偶性,首先将其转换为在目标端加入决策反馈均衡器(DFE)的对偶系统。然后对双系统的源矩阵和继电矩阵进行了联合优化。最后,利用原始和双MIMO中继系统的源、中继和目标矩阵之间的联系,得到了基于dpc的系统的最优源和中继矩阵。仿真结果表明,所提出的基于dpc的MIMO中继系统在误码率方面要优于现有的基于线性最小均方差(MMSE)的中继系统。
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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