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Quantize-and-Forward Strategy for Interleave-Division Multiple-Access Relay Channel

机译:交错划分多址中继信道的量化转发策略

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摘要

The quantize-and-forward (QF) strategy for the half-duplex interleave-division multiple-access relay channel (ID-MARC) is investigated in this paper with multiple users, single relay, and single destination. Different from the orthogonal MARC, multiple users in such an ID-MARC are distinguished by different interleavers. For the case that the relay node cannot recover the initial bits correctly, a denoising mutual-information preserving quantizer (DMIPQ) is proposed, which can remove the noise from the received signal while preserving the useful information. A suboptimal searching algorithm is designed to reduce the complexity of DMIPQ. The approximation of DMIPQ is further discussed to get an analytical solution. It is shown that the approximate DMIPQ is equivalent to the minimum mean square error (MMSE) Lloyd-max quantizer. Numerical results illustrate that the proposed DMIPQ outperforms the MMSE Lloyd-max quantizer. It can be also shown that the bit error rate of the ID-MARC (BER) with DMIPQ is close to its compress-and-forward (CF) bounds.
机译:本文研究了具有多个用户,单个中继和单个目的地的半双工交错划分多址中继信道(ID-MARC)的量化转发(QF)策略。与正交MARC不同,这种ID-MARC中的多个用户通过不同的交织器来区分。对于中继节点无法正确恢复初始比特的情况,提出了一种去噪互信息保留量化器(DMIPQ),可以在保留有用信息的同时从接收信号中去除噪声。设计了次优搜索算法,以降低DMIPQ的复杂性。进一步讨论了DMIPQ的近似值以获得解析解。结果表明,近似DMIPQ等效于最小均方误差(MMSE)Lloyd-max量化器。数值结果表明,所提出的DMIPQ优于MMSE Lloyd-max量化器。还可以显示带有DMIPQ的ID-MARC(BER)的误码率接近其压缩转发(CF)范围。

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