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CLC number: TN929.5
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2021-02-22
Cited: 0
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Citations: Bibtex RefMan EndNote GB/T7714
Performance analysis and power allocation of mixed-ADC multi-cell millimeter-wave massive MIMO systems with antenna selection
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Tao Zhou, Guichao Chen, Cheng-xiang Wang, Jiayi Zhang, Liu Liu, Yiqun Liang. Performance analysis and power allocation of mixed-ADC multi-cell millimeter-wave massive MIMO systems with antenna selection[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(4): 571-585.
@article{title="Performance analysis and power allocation of mixed-ADC multi-cell millimeter-wave massive MIMO systems with antenna selection",
author="Tao Zhou, Guichao Chen, Cheng-xiang Wang, Jiayi Zhang, Liu Liu, Yiqun Liang",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="22",
number="4",
pages="571-585",
year="2021",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2000509"
}
%0 Journal Article
%T Performance analysis and power allocation of mixed-ADC multi-cell millimeter-wave massive MIMO systems with antenna selection
%A Tao Zhou
%A Guichao Chen
%A Cheng-xiang Wang
%A Jiayi Zhang
%A Liu Liu
%A Yiqun Liang
%J Frontiers of Information Technology & Electronic Engineering
%V 22
%N 4
%P 571-585
%@ 2095-9184
%D 2021
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2000509
TY - JOUR
T1 - Performance analysis and power allocation of mixed-ADC multi-cell millimeter-wave massive MIMO systems with antenna selection
A1 - Tao Zhou
A1 - Guichao Chen
A1 - Cheng-xiang Wang
A1 - Jiayi Zhang
A1 - Liu Liu
A1 - Yiqun Liang
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 22
IS - 4
SP - 571
EP - 585
%@ 2095-9184
Y1 - 2021
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2000509
Abstract: In this study, we consider a multi-cell millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) system with a mixed analog-to-digital converter (mixed-ADC) and hybrid beamforming architecture, in which antenna selection is applied to achieve intelligent assignment of high- and low-resolution ADCs. Both exact and approximate closed-form expressions for the uplink achievable rate are derived in the case of maximum-ratio combining reception. The impacts on the achievable rate of user transmit power, number of radio frequency chains at a base station, ratio of high-resolution ADCs, number of propagation paths, and number of quantization bits are analyzed. It is shown that the user transmit power can be scaled down inversely proportional to the number of antennas at the base station. We propose an efficient power allocation scheme by solving a complementary geometric programming problem. In addition, the energy efficiency is investigated, and an optimal tradeoff between the achievable rate and power consumption is discussed. Our results will provide a useful reference for the study of mixed-ADC multi-cell mmWave massive MIMO systems with antenna selection.
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