BEACHES: Beamspace Channel Estimation for Multi-Antenna mmWave Systems and Beyond
BEACHES: Beamspace Channel Estimation for Multi-Antenna mmWave Systems and Beyond
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DOI：
10.1109/spawc.2019.8815576
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发表时间：
2019-07
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影响因子：
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通讯作者：
Ramina Ghods;Alexandra Gallyas-Sanhueza;S. Mirfarshbafan;Christoph Studer
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作者：
Ramina Ghods;Alexandra Gallyas-Sanhueza;S. Mirfarshbafan;Christoph Studer
大规模多天线毫米波（mmWave）和太赫兹无线系统承诺在相同的时间-频率资源中向多个用户设备提供高带宽通信。在这样的频率下波传播的高路径损耗和具有大规模天线阵列的波束成形的细粒度性质需要精确的信道估计以充分利用这样的系统的优点。在本文中，我们提出了波束空间信道估计（BEACHES），一种低复杂度的多天线毫米波系统的信道估计算法。BEACHES利用高频波传播是定向的这一事实，这使我们能够在波束空间域中对（近似）稀疏信道状态信息进行降噪。为了避免繁琐的参数选择，海滩包括一个计算效率高的调谐阶段，可证明最大限度地减少在大天线限制的信道估计的均方误差。为了证明BEACHES的有效性，我们提供了视距（LoS）和非LoS毫米波信道模型的仿真结果。
Massive multi-antenna millimeter wave (mmWave) and terahertz wireless systems promise high-bandwidth communication to multiple user equipments in the same time-frequency resource. The high path loss of wave propagation at such frequencies and the fine-grained nature of beamforming with massive antenna arrays necessitates accurate channel estimation to fully exploit the advantages of such systems. In this paper, we propose BEAmspace CHannel EStimation (BEACHES), a low-complexity channel estimation algorithm for multi-antenna mmWave systems and beyond. BEACHES leverages the fact that wave propagation at high frequencies is directional, which enables us to denoise the (approximately) sparse channel state information in the beamspace domain. To avoid tedious parameter selection, BEACHES includes a computationally-efficient tuning stage that provably minimizes the mean-square error of the channel estimate in the large-antenna limit. To demonstrate the efficacy of BEACHES, we provide simulation results for line-of-sight (LoS) and non-LoS mmWave channel models.