TY - GEN
T1 - Performance Analysis of Zero-Forcing Precoding in Multi-Cell One-Bit Massive MIMO Downlink
AU - Nadeem, Qurrat Ul Ain
AU - Chaaban, Anas
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This work investigates the downlink performance of a multi-cell massive multiple-input multiple-output (MIMO) system that employs one-bit analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) in the receiving and transmitting radio frequency (RF) chains at each base station (BS) in order to reduce the power consumption. We utilize Bussgang decomposition to derive the minimum mean squared error (MMSE) channel estimates at each BS based on the quantized received uplink training signals, and the asymptotic closed-form expressions of the achievable downlink rates under one-bit quantized zero-forcing (ZF) precoding implemented using the estimated channels. The derived expressions explicitly show the impact of quantization noise, thermal noise, pilot contamination, and interference, and are utilized to study the number of additional antennas needed at each BS of the one-bit MIMO system to perform as well as the conventional MIMO system. Numerical results verify our analysis, and reveal that despite needing more antennas to achieve the same sum average rate, the one-bit massive MIMO system is more energy-efficient than the conventional system, especially at high sampling frequencies.
AB - This work investigates the downlink performance of a multi-cell massive multiple-input multiple-output (MIMO) system that employs one-bit analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) in the receiving and transmitting radio frequency (RF) chains at each base station (BS) in order to reduce the power consumption. We utilize Bussgang decomposition to derive the minimum mean squared error (MMSE) channel estimates at each BS based on the quantized received uplink training signals, and the asymptotic closed-form expressions of the achievable downlink rates under one-bit quantized zero-forcing (ZF) precoding implemented using the estimated channels. The derived expressions explicitly show the impact of quantization noise, thermal noise, pilot contamination, and interference, and are utilized to study the number of additional antennas needed at each BS of the one-bit MIMO system to perform as well as the conventional MIMO system. Numerical results verify our analysis, and reveal that despite needing more antennas to achieve the same sum average rate, the one-bit massive MIMO system is more energy-efficient than the conventional system, especially at high sampling frequencies.
KW - Bussgang decomposition
KW - Multi-cell massive MIMO
KW - ZF precoding
KW - achievable rates
KW - one-bit ADCs and DACs
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U2 - 10.1109/BlackSeaCom58138.2023.10299768
DO - 10.1109/BlackSeaCom58138.2023.10299768
M3 - Conference contribution
AN - SCOPUS:85179004778
T3 - 2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023
SP - 33
EP - 38
BT - 2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023
Y2 - 4 July 2023 through 7 July 2023
ER -