一种改进的双向中继系统物理层网络编码方案

Yidong Lang, D. Wübben, K. Kammeyer
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引用次数: 16

摘要

本文考虑一个具有两个源a、B和一个中继R的双向中继系统,其中两个源希望通过中继交换信息。传输包括两个状态:多址(MAC)阶段,A和B同时向R发送信道编码信号;广播(BC)阶段,R同时向A和B发送信号。R的一个关键过程是解码来自A和B的叠加信号,使A和B能够在BC阶段可靠地解码来自对方的信息。R不是将属于A和B的单独信息分别解码,而是将叠加的信号解码为两个源信息的网络编码组合,即两个源信息的二进制异或。我们将这种解码过程称为联合信道解码和物理网络编码(JCNC)。本文针对物理网络编码方案提出了一种新的迭代译码算法,该算法适用于任何线性信道码,如低密度奇偶校验码(LDPC)。此外,将双向中继方案扩展到分布式多输入多输出(MIMO)多跳网络。基于每个虚拟天线阵列(VAA)内的天线选择准则,可以进一步降低多跳系统的端到端误码率。仿真结果表明,该方案在复杂度略有提高的情况下,优于最近提出的其他网络编码方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved physical layer network coding scheme for two-way relay systems
In this paper we consider a two-way relaying system with two sources A, B and one relay R, where the two sources desire to exchange information through the relay. The transmission consists of two states: multiple access (MAC) stage, where A and B transmit the channel-coded signals to R simultaneously, and broadcast (BC) stage, where R transmits towards both A and B. One critical process at R is to decode the superimposed signal from A and B in such a way that A and B could decode the information from each other reliably at the BC stage. Instead of decoding the individual information belonging to A and B separately, R aims to decode the superimposed signal to the network-coded combination of the two source information, i.e., the binary XOR of the two source information. We refer this decoding process as the joint channel decoding and physical network encoding (JCNC). In this paper, a novel iterative decoding algorithm is presented for the physical network coding scheme, which is applicable to any linear channel code, e.g. Low-Density Parity-Check (LDPC) code. Furthermore, the two-way relaying scheme is extended to distributed multiple input multiple output (MIMO) multi-hop networks. Based on an antenna selection criterion within each virtual antenna array (VAA), the end-to-end (e2e) BER of the multi-hop system can be further reduced. Simulation results show that the proposed scheme outperforms other recently proposed network coding schemes with slightly increased complexity.
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