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Filter-and-forward beamforming with adaptive decoding delays in asynchronous multi-user relay networks

机译:异步多用户中继网络中具有自适应解码延迟的滤波转发波束成形

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摘要

We consider distributed relay beamforming in frequency selective fading channels where the relays employ the filter-and-forward (FF) protocol to mitigate inter-symbol interference (ISI). Recently, the FF scheme has been expanded by incorporating an adaptive decoding delay at the destination to facilitate ISI suppression in single-user (SU) relay networks. In this paper, we propose a non-trivial generalization of the FF approach with adaptive decoding delays for multi-user peer-to-peer (MUP2P) systems in which flexible decoding delays are of crucial importance: Unlike in SU relay networks, perfect timing synchronization is generally impossible in realistic MUP2P relay networks. The problem of jointly optimizing the filter coefficients at the relays and the individual decoding delays at the destinations is a nonconvex mixed integer (MI) programming problem which is generally hard to solve optimally. We propose an efficient deflation algorithm providing an approximate solution and a branch-and-cut (BnC) method yielding a lower bound as a benchmark. Our simulation results demonstrate that the approximate solution obtained using the proposed scheme is close to optimal and outperforms the solutions obtained by state-of-the-art schemes which do not make use of adaptive decoding delays.
机译:我们考虑频率选择性衰落信道中的分布式中继波束成形,其中中继采用滤波转发(FF)协议来减轻符号间干扰(ISI)。最近,通过在目的地加入自适应解码延迟来扩展FF方案,以促进单用户(SU)中继网络中的ISI抑制。在本文中,我们提出了针对自适应多点对等(MUP2P)系统的具有自适应解码延迟的FF方法的非凡概括,其中灵活的解码延迟至关重要:与SU中继网络不同,完美定时在现实的MUP2P中继网络中,同步通常是不可能的。共同优化中继器处的滤波器系数和目的地处的各个解码延迟的问题是通常难以最佳地解决的非凸混合整数(MI)编程问题。我们提出了一种有效的放气算法,该算法提供了近似解决方案,并采用了以下界为基准的分支切割(BnC)方法。我们的仿真结果表明,使用所提出的方案获得的近似解接近于最佳方案,并且优于通过不利用自适应解码延迟的最新方案获得的解。

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