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Hybrid anti error propagation strategies in noncoherent cooperative wireless networks

机译:非相干协作无线网络中的混合防错误传播策略

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Maximum likelihood (ML) detection, link adaptive relaying (LAR) and selection relaying (SR) are among the most popular techniques developed for mitigating error propagation in regenerative decode and forward based cooperative wireless networks. In this paper, three different transmission schemes referred to as hybrid LAR and ML (LAR-ML), hybrid SR and ML (SR-ML) and hybrid SR, LAR and ML (SR-LAR-ML) are introduced to combat the error propagation which are obtained by combining the classical ML, LAR and SR approaches. The performance of the proposed structures are determined by computer simulations and providing a general framework for average BER analysis in case of noncoherent binary frequency shift keying which does not require channel state information at either the users or the destination. It has been shown that all of the proposed techniques supply full diversity gain and prevent performance degradation due to error propagation.
机译:最大似然(ML)检测,链路自适应中继(LAR)和选择中继(SR)是为缓解再生解码和基于前向的协作无线网络中的错误传播而开发的最流行的技术。在本文中,介绍了三种不同的传输方案,分别称为混合LAR和ML(LAR-ML),混合SR和ML(SR-ML)和混合SR,LAR和ML(SR-LAR-ML)来解决错误传播是通过结合经典的ML,LAR和SR方法获得的。所提出的结构的性能由计算机仿真确定,并在非相干二进制频移键控的情况下提供了用于平均BER分析的通用框架,该二进制相移键控不需要用户或目的地的信道状态信息。已经表明,所有提出的技术都提供了完整的分集增益,并防止了由于错误传播而导致的性能下降。

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