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Channel Acquisition for Massive MIMO-OFDM With Adjustable Phase Shift Pilots

机译:具有可调相移导频的大规模MIMO-OFDM的信道捕获

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We propose adjustable phase shift pilots (APSPs) for channel acquisition in wideband massive multiple-input multiple-output (MIMO) systems employing orthogonal frequency division multiplexing (OFDM) to reduce the pilot overhead. Based on a physically motivated channel model, we first establish a relationship between channel space-frequency correlations and the channel power angle-delay spectrum in the massive antenna array regime, which reveals the channel sparsity in massive MIMO-OFDM. With this channel model, we then investigate channel acquisition, including channel estimation and channel prediction, for massive MIMO-OFDM with APSPs. We show that channel acquisition performance in terms of sum mean square error can be minimized if the user terminals' channel power distributions in the angle-delay domain can be made nonoverlapping with proper pilot phase shift scheduling. A simplified pilot phase shift scheduling algorithm is developed based on this optimal channel acquisition condition. The performance of APSPs is investigated for both one symbol and multiple symbol data models. Simulations demonstrate that the proposed APSP approach can provide substantial performance gains in terms of achievable spectral efficiency over the conventional phase shift orthogonal pilot approach in typical mobility scenarios.
机译:我们提出可调整相移导频(APSP),用于采用正交频分复用(OFDM)的宽带大规模多输入多输出(MIMO)系统中的信道捕获,以减少导频开销。基于物理激励信道模型,我们首先在大规模天线阵列方案中建立信道空频相关性与信道功率角延迟频谱之间的关系,这揭示了大规模MIMO-OFDM中的信道稀疏性。使用此信道模型,我们然后研究具有APSP的大规模MIMO-OFDM的信道获取,包括信道估计和信道预测。我们表明,如果可以通过适当的导频相移调度使用户终端在角度延迟域中的信道功率分布不重叠,则可以将基于总均方误差的信道捕获性能降至最低。基于该最佳信道获取条件,开发了一种简化的导频相移调度算法。针对一个符号和多个符号数据模型研究了APSP的性能。仿真表明,在典型的移动方案中,相比于传统的相移正交导频方法,所提出的APSP方法在可实现的频谱效率方面可以提供可观的性能提升。

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