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Article

Transceiver Optimization for mmWave Line-of-Sight MIMO Systems Using Hybrid Arrays

1
School of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China
2
The Global Big Data Technologies Centre, University of Technology Sydney, Sydney 2007, Australia
*
Author to whom correspondence should be addressed.
Micromachines 2023, 14(2), 236; https://doi.org/10.3390/mi14020236
Submission received: 2 December 2022 / Revised: 13 January 2023 / Accepted: 14 January 2023 / Published: 17 January 2023
(This article belongs to the Special Issue Wireless Transceiver Design for RF/MM Waves and THz Communication)

Abstract

The performance of millimeter wave (mmWave) line-of-sight multiple input multiple output (LOS MIMO) systems using hybrid arrays of planar subarrays was studied. We characterized the achievable maximum spatial multiplexing gain for such LOS MIMO systems by the measures of spectral efficiency and effective degree of freedom (EDoF). By proposing a joint plane-wave and spherical-wave-based general 3D channel model, we derived the optimal design parameters in the analog domain, i.e., the optimal subarray separation products, and analyzed their sensitivity on the system performance. We also gave analytical eigenvalue expressions of the equivalent LOS MIMO channel matrix, which are applicable to the case of a non-optimal design, as well as the upper and lower bounds of the EDoF for system performance evaluation. A piecewise uniform quantization codebook was further designed for quantizing phase shifter values in practical applications. The numerical and simulation results show that planar subarrays are superior to traditional arrays in terms of spectral efficiency and EDoF in Ricean fading channels because they are more robust to the change in the communication distance and the deviation from the optimal design. The use of hybrid arrays of planar subarrays effectively removes the limitation of mmWave LOS MIMO systems using traditional arrays, through which, the conventional Rayleigh distance criterion has to be satisfied to achieve the optimal performance.
Keywords: line-of-sight; multiple input multiple output; transceiver optimization; hybrid arrays; quantization line-of-sight; multiple input multiple output; transceiver optimization; hybrid arrays; quantization

Share and Cite

MDPI and ACS Style

Deng, J.; Li, H.; Zhang, J.A.; Huang, X.; Cheng, Z. Transceiver Optimization for mmWave Line-of-Sight MIMO Systems Using Hybrid Arrays. Micromachines 2023, 14, 236. https://doi.org/10.3390/mi14020236

AMA Style

Deng J, Li H, Zhang JA, Huang X, Cheng Z. Transceiver Optimization for mmWave Line-of-Sight MIMO Systems Using Hybrid Arrays. Micromachines. 2023; 14(2):236. https://doi.org/10.3390/mi14020236

Chicago/Turabian Style

Deng, Junwen, Hang Li, Jian Andrew Zhang, Xiaojing Huang, and Zhiqun Cheng. 2023. "Transceiver Optimization for mmWave Line-of-Sight MIMO Systems Using Hybrid Arrays" Micromachines 14, no. 2: 236. https://doi.org/10.3390/mi14020236

APA Style

Deng, J., Li, H., Zhang, J. A., Huang, X., & Cheng, Z. (2023). Transceiver Optimization for mmWave Line-of-Sight MIMO Systems Using Hybrid Arrays. Micromachines, 14(2), 236. https://doi.org/10.3390/mi14020236

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