A User-Driven Sleep and Wake-Up Technology for Energy-Efficient 5G-Advanced Base Stations

As the primary source of energy consumption in communication networks, the power usage of 5G base station(BS) is a significant concern. The sleep mode (SM) of BS can be utilized to reduce mobile network consumption during periods of low traffic demand. However, current BS sleep technologies primarily rely on network-side participation, with insufficient involvement from user equipment. In this paper, inspired by the concept of user-initiated BS activation mentioned in 3GPP TR38.864 [1], we design a user-driven base station sleep and wake-up mechanism that considers user-generated wake-up signals to activate sleeping BSs. Analysis results indicate that this method can achieve significant energy savings.

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Publication Details

Published
2024-10-24
DOI
https://doi.org/10.1109/wcsp62071.2024.10827500
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

A User-Driven Sleep and Wake-Up Technology for Energy-Efficient 5G-Advanced Base Stations

Sihai Zhang, Weidong Wang, Xiangzhi Guo, Xiaohui Chen
Advanced MIMO Systems Optimization
article

A User-Driven Sleep and Wake-Up Technology for Energy-Efficient 5G-Advanced Base Stations

Sihai Zhang, Weidong Wang, Xiangzhi Guo, Xiaohui Chen
article en

Abstract

As the primary source of energy consumption in communication networks, the power usage of 5G base station(BS) is a significant concern. The sleep mode (SM) of BS can be utilized to reduce mobile network consumption during periods of low traffic demand. However, current BS sleep technologies primarily rely on network-side participation, with insufficient involvement from user equipment. In this paper, inspired by the concept of user-initiated BS activation mentioned in 3GPP TR38.864 [1], we design a user-driven base station sleep and wake-up mechanism that considers user-generated wake-up signals to activate sleeping BSs. Analysis results indicate that this method can achieve significant energy savings.

University of Science and Technology of China (CN)
National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 76%
Advanced MIMO Systems Optimization
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