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A performance model for maximum ratio combining receivers with adaptive modulation and coding in Rice fading correlated channels

机译:基于稻衰出相关通道的自适应调制与编码的最大比率的性能模型

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This paper presents a packet reception model of a wireless link with a single-antenna transmitter and a multiple-antenna maximum-ratio combining (MRC) receiver. The objective of this model is to assist in the performance evaluation of systems with adaptive modulation and coding (AMC) in Rice fading channels under the effects of channel or branch correlation. The model is useful for cross-layer design purposes, as it provides an accurate and relatively low-complex representation of the underlying physical (PHY) layer. This means that the model can be included in the optimization of upper layers without requiring a full PHY-layer simulation or model. The paper focuses on the derivation of closed-form expressions of correct packet reception probabilities of different modulation and coding schemes (MCSs) with different values of block error rate (BLER) and spectral efficiency. The results indicate that channel correlation is not always a source of reduction of link-layer throughput of a multiple antenna system. At low values of signal-to-noise ratio (SNR), channel correlation can improve performance rather than reducing it. By contrast, at high SNR values, channel correlation is shown to always reduce the performance of the receiver. It is also observed that high values of Rice factor tend to reduce the influence of the random signal component and thus the degrading effect of correlation. The line-of-sight component tends to reduce performance in high SNR scenarios, but considerably improving it in the low SNR regime.
机译:本文介绍了具有单天线发射器的无线链路的分组接收模型和多天线最大值组合(MRC)接收器。该模型的目的是协助在频道或分支相关的影响下,在水稻衰落通道中进行具有自适应调制和编码(AMC)的系统的性能评估。该模型对于跨层设计目的是有用的,因为它提供了底层物理(PHY)层的精确且相对低的表示。这意味着该模型可以包括在上层的优化中,而不需要完整的PHY层模拟或模型。该文件侧重于具有不同调制和编码方案(MCS)的正确分组接收概率的闭合表达式的推导,具有不同的块误差率(BLER)和光谱效率。结果表明,信道相关并不总是多天线系统的链路层吞吐量的降低源。在信噪比(SNR)的低值下,通道相关可以提高性能而不是减少它。相比之下,在高SNR值下,显示信道相关性始终降低接收器的性能。还观察到,水稻因子的高值倾向于降低随机信号分量的影响,从而降低相关性的劣化效果。瞄准线组件倾向于降低高SNR场景的性能,但在低SNR制度中显着改善它。

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