Low Complexity Hybrid Precoder Design for mmWave Multi-User MIMO Systems: A Non-Iterative Approach

Low Complexity Hybrid Precoder Design for mmWave Multi-User MIMO Systems: A Non-Iterative Approach
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毫米波多用户 MIMO 系统的低复杂度混合预编码器设计:一种非迭代方法

DOI:
10.1109/vtcfall.2019.8891355
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发表时间:
2019
期刊:
2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)
影响因子:
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通讯作者:
Takano Yasuhiro
Takano Yasuhiro
中科院分区:
--
文献类型:
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作者:
Lin Jhe-Yi;Su Hsuan-Jung;Hong Chen-Chieh;Takano Yasuhiro

文献摘要

相似文献

大规模多输入多输出(MIMO)将成为毫米波蜂窝通信系统的重要组成部分。大规模MIMO的一个自然应用是同时传输到多个用户。不幸的是,大规模MIMO的硬件限制使得传统的全数字波束形成技术难以应用,特别是在毫米波频段。因此,为了减少大规模MIMO系统中昂贵的射频(RF)链的数量,提出了混合波束形成(HB),其中整个波束形成由低维数字波束形成器和模拟波束形成器组成。本文研究了一种多用户大规模MIMO系统的HB设计方法。我们设计了一个基于下行-上行对偶性的次优模拟预编码器。为了支持射频链数不一定等于用户数的情况,我们提出了一种贪婪选择算法来分配射频链。最后,我们考虑了模拟部分的硬件损害,并扩展了所提出的算法以支持有限分辨率移相器的使用。仿真结果表明,与现有方法相比,所提出的HB方法在复杂度和性能之间取得了更好的平衡。
Massive multiple-input multiple-output (MIMO) will be an important ingredient in millimeter-wave (mmWave) cellular communication systems. A natural application of massive MIMO is simultaneous transmission to multiple users. Unfortunately, the hardware constraints in massive MIMO make it difficult to apply the conventional fully digital beamforming techniques, especially in the mmWave bands. Thus hybrid beamforming (HB) in which the overall beamformer consists of a low-dimensional digital beamformer followed by an analog beamformer has been proposed for reducing the number of costly radio frequency (RF) chains in massive MIMO systems. This paper considers an HB design for multi-user massive MIMO systems. We design a sub-optimal analog precoder based on the downlink-uplink duality. To support the general situation where the number of RF chains is not necessarily equal to the number of users, we propose a greedy selection algorithm to allocate RF chains. Finally, we consider the hardware impairment in analog part and extend the proposed algorithm to support the use of finite resolution phase shifters. Simulation results demonstrate that the proposed HB method makes a better tradeoff between complexity and performance compared with existing methods.