CLC number: TN929.5
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2023-09-18
Cited: 0
Clicked: 1623
Citations: Bibtex RefMan EndNote GB/T7714
Danning XU, Yu HAN, Xiao LI, Jinghe WANG, Shi JIN. Energy efficiency optimization for a RIS-assisted multi-cell communication system based on a practical RIS power consumption model[J]. Frontiers of Information Technology & Electronic Engineering, 2023, 24(12): 1717-1727.
@article{title="Energy efficiency optimization for a RIS-assisted multi-cell communication system based on a practical RIS power consumption model",
author="Danning XU, Yu HAN, Xiao LI, Jinghe WANG, Shi JIN",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="24",
number="12",
pages="1717-1727",
year="2023",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2300136"
}
%0 Journal Article
%T Energy efficiency optimization for a RIS-assisted multi-cell communication system based on a practical RIS power consumption model
%A Danning XU
%A Yu HAN
%A Xiao LI
%A Jinghe WANG
%A Shi JIN
%J Frontiers of Information Technology & Electronic Engineering
%V 24
%N 12
%P 1717-1727
%@ 2095-9184
%D 2023
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2300136
TY - JOUR
T1 - Energy efficiency optimization for a RIS-assisted multi-cell communication system based on a practical RIS power consumption model
A1 - Danning XU
A1 - Yu HAN
A1 - Xiao LI
A1 - Jinghe WANG
A1 - Shi JIN
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 24
IS - 12
SP - 1717
EP - 1727
%@ 2095-9184
Y1 - 2023
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2300136
Abstract: reconfigurable intelligent surface (RIS) is widely accepted as a potential technology to assist in communication between base stations (BSs) and users in edge areas. We study the energy efficiency of a RIS-assisted multi-cell communication system with a realistic RIS power consumption model. With the goal of maximizing the energy efficiency of the system, we optimize the transmit beamforming vectors at the BS and the RIS phase shift matrix by a proposed alternative optimization algorithm. First, the transmit beamforming vector is optimized by solving the transformed weighted minimum mean square error (WMMSE) problem. Subsequently, to solve the inconvenience incurred by the discrete relationship between the RIS reflecting unit power consumption and its discrete phase shift, we use a continuous function to approximate their relationship. With this approximation, we can use the majorization minimization (MM) technique to optimize the continuous RIS phase shifts, and then quantize the obtained phase shifts to discrete ones. Simulation results demonstrate that the energy efficiency of the system is effectively optimized by the proposed algorithm.
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