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首页> 外文期刊>IEEE Transactions on Vehicular Technology >Interference Cancellation Aided Hybrid Beamforming for mmWave Multi-User Massive MIMO Systems
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Interference Cancellation Aided Hybrid Beamforming for mmWave Multi-User Massive MIMO Systems

机译：MMWAVE多用户大量MIMO系统的干扰消除辅助混合波束形成

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摘要

In large scale multiple-input multiple-output (MIMO) systems (or massive MIMO systems), hybrid beamforming is a promising technique due to its versatile tradeoff between implementation cost (including hardware cost and power consumption) and system performance. In this paper, we investigate the downlink millimeter wave (mmWave) multi-user massive MIMO system and propose an interference cancellation (IC) framework on hybrid beamforming design. Based on the proposed framework, three successive interference cancellation (SIC) aided hybrid beamforming algorithms are proposed to deal with inter-user and intra-user interference. Specifically, for the first proposed algorithm, we use zero-forcing (ZF) to cancel inter-user interference and use SIC to cancel intra-user interference. For the second one, SIC is used to cancel inter-user interference and ZF is used to cancel intra-user interference. Both inter-user interference and intra-user interference are suppressed by SIC in the third algorithm. Furthermore, the optimal detection order of data streams is derived according to the post-detection signal-to-interference-plus-noise ratio (SINR). Numerical results show that the proposed SIC-aided hybrid beamforming algorithms outperforms the existing approaches in terms of spectral efficiency (SE) at the cost of computational complexity for the SIC procedure. Moreover, the results indicate that the proposed algorithms can achieve good SE performance with 2-bit finite resolution phase shifters and channel estimation error.
机译：在大规模多输入多输出（MIMO）系统（或MIMO）系统（或大规模的MIMO系统）中，混合波束成形是一种有希望的技术，由于其实现成本（包括硬件成本和功耗）和系统性能之间的多功能权衡。在本文中，我们研究了下行链路毫米波（MMWAVE）多用户大量MIMO系统，并提出了混合波束形成设计的干扰消除（IC）框架。基于所提出的框架，提出了三种连续的干扰消除（SIC）辅助混合波束形成算法来处理用户间和用户内干扰。具体地，对于第一个提出的算法，我们使用零强制（ZF）来取消用户间干扰并使用SiC取消用户内的干扰。对于第二个，SiC用于取消用户间干扰，ZF用于消除用户内的干扰。在第三算法中，SIC抑制了用户间干扰和用户内部干扰。此外，根据检测后的信号到干扰除噪声比（SINR）导出数据流的最佳检测顺序。数值结果表明，所提出的SiC辅助混合波束形成算法在SIC过程的计算复杂性成本上以频谱效率（SE）的谱效率而优于现有方法。此外，结果表明，所提出的算法可以实现具有2位有限分辨率相移和信道估计误差的好SE性能。

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