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Impact of Limited Feedback on Multiple Relay Zero-Forcing Precoding Systems

机译:有限反馈对多次继电器零强制预编码系统的影响

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In recent literature, it has been shown that in a relaying network utilizing multiple relay precoding, the signal to noise ratio (SNR) at each destination node will scale linearly with the number of relays K, which is referred to as the distributed array gain (DAG) K. Different from the prior studies which assume perfect channel state information (CSI) at each of the relay nodes, this work considers the impact of limited feedback on the performance of multiple relay precoding. We show that the conventional limited feedback scheme fails to obtain the DAG K, which is due to the phase ambiguity introduced by the channel quantization function. Based on the analysis, a novel feedback and precoding procedure is proposed. It is proved that the proposed procedure can obtain the DAG K with only one additional feedback bit for quantizing each relay destination channel compared with the conventional scheme. Simulation results are also provided to verify our analysis.
机译:在最近的文献中,已经表明,在利用多个继电器预编码的中继网络中,每个目的地节点处的信噪比(SNR)将与中继k的数量线性缩放,其被称为分布式阵列增益( DAG)K。与在每个继电器节点上的每个继电器节点处的完美信道状态信息(CSI)的先前研究不同,这项工作考虑了有限反馈对多个继电器预编码性能的影响。我们表明传统的有限反馈方案无法获得DAG k,这是由于通道量化函数引入的相位模糊性。基于分析,提出了一种新的反馈和预编码程序。证明,与传统方案相比,所提出的程序可以仅获得用于量化每个继电器目的地信道的另外的反馈位的DAG k。还提供了仿真结果以验证我们的分析。

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