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Capacity Analysis of Opportunistic Cooperative Networks under Adaptive Transmission over Rayleigh Fading Channels

机译:瑞利衰落信道下自适应传输下的机会合作网络容量分析

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摘要

In this paper, opportunistic cooperative amplify-and-forward networks in conjunction with three different adaptive policies, namely optimal simultaneous power and rate adaptation (OPRA), constant power with optimal rate adaptation (OPA) and truncated channel inversion with fixed rate (TIFR), are investigated and compared in terms of Rayleigh channel capacity where the source adapts its rate and/or power level according to channel conditions while the best relay simply amplifies and then forwards the received signals. Furthermore, the effect of diversity combining on the network is studied by investigating two cases of maximal ratio combining (MRC) and selection combining (SC) equipped at the destination. To this end, the mathematically tractable form of the upper and lower bound of the end-to-end effective signal-to-noise ratio (SNR) is provided and then used to derive the closed-form expression of the Shannon capacity. Our results are verified through comparison with Monte Carlo simulations in some representative scenarios where we also illustrate that, among them, for an arbitrary number of cooperative relays, OPRA slightly outperforms ORA, which, in turn, outperforms TIFR.
机译:本文将机会合作式放大转发网络与三种不同的自适应策略相结合,即最优同时功率和速率自适应(OPRA),具有最优速率自适应的恒定功率(OPA)和固定速率截断信道反转(TIFR)在瑞利信道容量方面进行了研究和比较,其中源根据信道条件调整其速率和/或功率水平,而最佳中继器简单地放大然后转发接收到的信号。此外,通过研究目的地配备的最大比率合并(MRC)和选择合并(SC)的两种情况,研究了分集合并对网络的影响。为此,提供了端到端有效信噪比(SNR)的上限和下限的数学可处理形式,然后将其用于导出香农容量的封闭形式。通过在某些代表性场景中与蒙特卡洛仿真进行比较,我们的结果得到了验证,在这些场景中,我们还说明了其中,对于任意数量的协作继电器,OPRA的性能略好于ORA,而ORA的性能又优于TIFR。

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