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An Irregular Tiled Array Technique for Massive MIMO Systems

delete2022-06-01
delete11
PRE
AI
F
Feng Yang
K
Kejin Chen
S
Shiwen Yang *
Y
Yikai Chen
S
Shi‐Wei Qu
胡
胡军 (Jun Hu)
DOI:10.1109/TWC.2021.3130628delete
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摘要

摘要

En 中文
An irregular tiled array technique is proposed for the application of massive MIMO systems, where the uniformly spaced antenna array elements are irregularly divided into subarrays fed by only one radio frequency (RF) chain separately. As compared to conventional beamforming architecture, the number of RF chains is reduced to one-half or one-quarter of the original number by using domino-shaped subarrays or tetromino-shaped subarrays, respectively. Two beamforming architectures for such a framework are proposed and a minimum mean square error (MMSE) method is applied to design the layouts of irregular arrays efficiently. In the framework of single-user massive MIMO systems, numerical simulation results show that the proposed architectures outperform conventional beamforming architectures and antenna selection architecture under the same number of RF chains conditions. With saving half of the transceivers, the loss of gain of the state-of-the-art sparsely sampled array is 1.9dB in the broadside and 2.2 dB for scanning to 30 degrees in comparison with reference array (i.e., one transceiver per element). By contrast, there is no loss of gain of domino-shaped irregular array (i.e., one transceiver per two elements) in the broadside as compared to reference array and the loss of gain will be about 1.5dB for scanning to 30 degrees.
Keyword:
Antenna arrays
Radio frequency
Array signal processing
Arrays
Computer architecture
Phase shifters
Massive MIMO
Irregular tiled arrays
low complexity
beamforming architecture
minimum mean square error method

期刊

IEEE Transactions on Wireless Communications 封面图
IEEE Transactions on Wireless Communications
IF:
10.7
论文数:
1.3W
被引数:
5.3W

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An Irregular Tiled Array Technique for Massive MIMO Systems
err2022-06-01
err11
PREAI
errMa, Yankai; Yang, Feng; Chen, Kejin; Yang, Shiwen; Chen, Yikai; Qu, Shi-Wei; Hu, Jun
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