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Distributed Joint Source-Channel-Network Coding Exploiting Source Correlation for Multiple Access Relay Channel

机译:多路访问中继信道的分布式源-信道-网络联合编码利用源相关性

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In this paper, we consider the problem of transmitting correlated binary sources over multiple access relay channel (MARC). The network consists of two sources communicating with the same destination with the assistance of a single relay. The source sequences are independently channel encoded and broadcasted to the relay and the destination. After successfully receiving the information sequences from the two sources, the relay generates joint channel-network coded sequence and forwards it to the destination. A joint source-channel-network (JSCN) decoding technique is proposed to fully exploit the correlation between the sources, as well as the benefit of network coding. Furthermore, the achievable rate region and the theoretical limits of this system are derived by combining the Shannon and source coding with side information theorems. Simulation results show that, by exploiting the source correlation, our proposed technique achieves significant performance gain, compared with the case that the correlation knowledge is not exploited.
机译:在本文中,我们考虑了通过多路访问中继信道(MARC)传输相关二进制源的问题。该网络由两个源组成,这些源在单个中继的帮助下与同一目的地进行通信。源序列被独立地信道编码并广播到中继站和目的地。在成功地从两个源接收到信息序列之后,中继器将生成联合的信道网络编码序列,并将其转发到目的地。提出了一种联合信源-信道-网络(JSCN)解码技术,以充分利用信源之间的相关性以及网络编码的好处。此外,通过将Shannon和源编码与边信息定理相结合,得出了该系统可达到的速率区域和理论极限。仿真结果表明,与不利用相关性知识的情况相比,通过利用源相关性,我们提出的技术获得了显着的性能提升。

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