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Approximate Gaussian Density Evolution Based Analysis of Distributed and Adaptive Turbo Codes

机译:基于近似高斯密度演化的分布式和自适应Turbo码分析

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摘要

In this paper, the non-selective Decode-and-Forward (DF) scheme proposed in is analyzed using approximate Gaussian density evolution (DE). Based on the DE analysis, performance is shown to be improved by adaptively changing the transmit code at the relay node in response to the channel conditions. Simulation results show that the proposed adaptive scheme improves performance, particularly when the relay is closer to the destination than to the source. In addition, the adaptive scheme does not increase network overhead.
机译:本文采用近似高斯密度演化(DE)方法对提出的非选择性解码转发(DF)方案进行了分析。基于DE分析,通过响应于信道条件自适应地更改中继节点上的传输代码,可以提高性能。仿真结果表明,所提出的自适应方案可以提高性能,特别是当中继距离目的地比距离源更近时。另外,自适应方案不会增加网络开销。

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