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首页> 外文期刊>IEEE Transactions on Vehicular Technology >Geometric-Mean-Decomposition-Based Optimal Transceiver for a Class of Two-Hop MIMO-Aided Amplify-and-Forward Relay Channels
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Geometric-Mean-Decomposition-Based Optimal Transceiver for a Class of Two-Hop MIMO-Aided Amplify-and-Forward Relay Channels

机译:一类两跳MIMO辅助转发转发信道的基于几何均值分解的最佳收发器

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摘要

A geometric mean decomposition (GMD)-based joint transceiver is investigated in the context of a multiple-input–multiple-output (MIMO)-aided relay-assisted two-hop amplify-and-forward relaying system. The canonical form of the optimal weighting matrix is derived, which is capable of achieving the maximum received signal-to-noise ratio (SNR) at the destination. Furthermore, the optimal power allocation is formulated as a geometric programming problem. The proposed optimal design of the linear weighting matrix achieves an approximately 5-dB SNR gain over the naive weighting matrix at the bit error rate (BER) of $ hbox{10}^{-3}$ as a benefit of efficiently exploiting the low-complexity linear signal processing capability of the relay.
机译:在多输入多输出(MIMO)辅助中继辅助两跳放大转发中继系统的背景下,研究了基于几何均值分解(GMD)的联合收发器。得出最佳加权矩阵的规范形式,它能够在目标位置实现最大的接收信噪比(SNR)。此外,将最佳功率分配公式化为几何规划问题。提议的线性加权矩阵的最佳设计以$ hbox {10} ^ {-3} $的误码率(BER),比朴素加权矩阵获得了大约5 dB的SNR增益,这是有效利用了低继电器的复杂度线性信号处理能力。

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