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Unified Analysis of Two-Hop Cooperative Amplify-and-Forward Multi-Relay Networks

机译:两跳协作放大转发多中继网络的统一分析

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This article develops an extremely simple and tight closed-form approximation for the moment generating function (MGF) of signal-to-noise ratio (SNR) for two-hop amplify-and-forward relayed paths over generalized fading environments. The resulting expression facilitates efficient analysis of twohop cooperative amplify-and-forward (CAF) multi-relay networks over a myriad of stochastic channel models (including mixed-fading scenarios where fading statistics of distinct links in the relayed path may be from different family of distributions). The efficacy of our proposed MGF expression for computing the average symbol error rate (ASER), outage probability, and the ergodic capacity (with limited channel side-information among cooperating nodes) is also studied. Numerical results indicate that the proposed MGF expression tightly approximates the exact MGF formulas and outperforms the existing MGF of lower and upper bounds of the half-harmonic mean (HM) SNR, while overcoming the difficulties associated in deriving an accurate MGF formula for the end-to-end SNR over generalized fading channels. Further application of our new closed-form formula for the MGF of end-to-end SNR for evaluating the average bit and/or packet error rate with adaptive discrete-rate modulation in CAF relay networks is also discussed.
机译:本文为广义衰落环境下两跳放大转发中继路径的信噪比(SNR)的矩生成函数(MGF)开发了一种极其简单且紧密的闭式近似。生成的表达式有助于在多种随机信道模型(包括中继路径上不同链路的衰落统计信息可能来自不同家族的混合衰落场景)上高效分析两跳协作放大转发(CAF)多中继网络。分布)。我们还研究了我们提出的MGF表达式用于计算平均符号错误率(ASER),中断概率和遍历容量(在协作节点之间具有有限的通道侧信息)的功效。数值结果表明,拟议的MGF表达式紧密逼近精确的MGF公式,并且优于半谐波平均值(HM)SNR上下界的现有MGF,同时克服了为最终获得精确的MGF公式而遇到的困难。通用衰落信道上的端到端SNR。还讨论了我们新的端到端SNR的MGF封闭式公式在CAF中继网络中通过自适应离散速率调制评估平均比特和/或分组错误率的进一步应用。

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