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Evaluation of an Antenna Selection Strategy for Reduced Massive MIMO Complexity
Radio Science ( IF 1.6 ) Pub Date : 2021-03-07 , DOI: 10.1029/2020rs007242
Frédéric Challita 1 , Martine Liénard 1 , Davy P. Gaillot 1 , Jose‐Maria Molina‐Garcia‐Pardo 2
Affiliation  

Massive Multiple‐Input Multiple‐Output (MIMO) is emerging as one promising technology for the fifth generation (5G), but the hardware and software complexity arising from the sheer number of transmitting elements is a bottleneck. Antenna selection strategies have been reported as an appealing solution for hybrid beamforming architectures to select a number of radio‐frequency (RF) chains less than the total number of antennas but are yet to be fully defined and evaluated. In this work, a generic strategy relying on the receiver (Rx) spatial correlation is investigated to select the best antenna subset from a full array. It is evaluated from ray‐traced massive MIMO radio channels using propagation metrics, and also sum‐rate capacity computation. The results demonstrate that (1) for a fixed number of users, a subset with wisely selected distributed elements outperforms a collocated one for all studied metrics with performance close to the full array and (2) using a proposed optimization algorithm for a dynamic number of users, the number of active Tx antennas can be further optimized for the different studied subsets. Moreover, for a fixed number of users, the best antenna subset presenting the lowest Rx correlation values is found to reach the optimal sum‐rate capacity using simple linear precoders compared with dirty paper coding. This is achieved with only a third of the initial RF chain hardware complexity, thus validating the proposed approach. Also, experimental measurements, presented for an industrial scenario, validate the proposed approach.

中文翻译:

降低大规模MIMO复杂度的天线选择策略的评估

大规模多输入多输出(MIMO)作为第五代(5G)的一项有前途的技术正在兴起,但是由于传输元素数量众多而导致的硬件和软件复杂性是一个瓶颈。据报道,天线选择策略是一种吸引人的解决方案,可用于混合波束成形架构,以选择数量少于天线总数的射频(RF)链,但尚未完全定义和评估。在这项工作中,研究了一种依赖于接收器(Rx)空间相关性的通用策略,以便从整个阵列中选择最佳天线子集。它使用传播度量从光线跟踪的大规模MIMO无线电信道进行评估,并进行总容量计算。结果表明(1)对于固定数量的用户,对于所有研究的指标,具有明智选择的分布式元素的子集的性能要优于并列的子集,其性能接近完整阵列;(2)使用针对动态数量的用户提出的优化算法,可以针对以下情况进一步优化有源Tx天线的数量:不同的研究子集。此外,对于固定数量的用户,与脏纸编码相比,使用简单的线性预编码器发现呈现最低Rx相关值的最佳天线子集可以达到最佳求和能力。仅使用初始RF链硬件复杂度的三分之一即可实现这一点,从而验证了所提出的方法。此外,针对工业场景提出的实验测量结果验证了所提出的方法。
更新日期:2021-04-29
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