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在大型无线网络中,两用户节点进行信息交互,其间存在两个并行的中继节点但无直通链路。本文针对这一模型提出了一种网络-信道联合编码方案,具体方法是:在所有节点进行卷积编码,中继节点处还使用了网络编码,两用户同时接收到两路中继编码信息,从中减去本地信息后即构成分布式Turbo编码,用户端可通过迭代译码来获得对端信息。针对不同的应用环境,本文又给出了两种相关演变方案,并加以比较。仿真结果表明:与网络编码、信道编码单独设计的两种相关方案相比较,网络-信道联合编译码方案能获得更好的误帧率(PER)性能。
In a large-scale wireless network, two user nodes exchange information, there are two parallel relay nodes in the meantime there is no through-link. In this paper, a joint network-channel coding scheme is proposed for this model. The specific method is that convolutional coding is performed on all nodes, and network coding is also used at the relay node. Two users simultaneously receive two-way relay coding information, Subtracting the local information from it constitutes a distributed Turbo encoding, the client can obtain the opposite end information through iterative decoding. For different application environments, this paper gives two related evolution programs and compares them. The simulation results show that the network-channel joint coding and decoding scheme can achieve better frame error rate (PER) performance compared with the two schemes of network coding and channel coding.