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A novel interference-aware, optimal gain adaptation policy for a non-regenerative, underlay cognitive radio relay

机译:一种用于非再生,底层认知无线电中继的新型干扰感知,最佳增益自适应策略

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A relay that operates in an underlay cognitive radio (CR) system is subject to tight constraints on the interference its transmissions cause to the primary receiver (PRx). While several appealing non-regenerative amplify-and-forward (AF) relaying schemes have been proposed for underlay CR, they are simple, ad hoc adaptations of conventional AF relaying schemes. We present a novel and optimal relay gain adaptation policy (ORGAP) in which the interference-aware relay optimally adapts its gain as a function of its local channel gains. It minimizes the symbol error probability (SEP) at the secondary receiver subject to a constraint on the average interference caused to the PRx. We also analyze the SEP of MPSK of ORGAP, which serves as a fundamental theoretical benchmark for the gains achievable by AF relaying in CR systems. Extensive numerical results quantify the extent to which ORGAP outperforms several known conventional AF relaying schemes. We also present a near-optimal, simpler relay gain adaptation policy (SRGAP) that is easier to implement.
机译:在底层认知无线电(CR)系统中运行的中继受到严格的限制,即其传输对主接收器(PRx)造成的干扰。尽管已经提出了几种用于底层CR的有吸引力的非再生放大转发(AF)中继方案,但它们是常规AF中继方案的简单,临时性的改编。我们提出了一种新颖且最佳的中继增益自适应策略(ORGAP),其中,意识到干扰的中继根据其本地信道增益来最佳地自适应其增益。它将第二接收器处的符号错误概率(SEP)降到最低,这受对PRx造成的平均干扰的限制。我们还分析了ORGAP的MPSK的SEP,它是CR系统中AF中继可实现的增益的基本理论基准。大量的数值结果量化了ORGAP胜过几种已知的传统AF中继方案的程度。我们还提出了一种更易于实现的接近最佳,更简单的中继增益自适应策略(SRGAP)。

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