Next Article in Journal
Progress in ZnO Nanosensors
Next Article in Special Issue
Experimental Validation and Deployment of Observability Applications for Monitoring of Low-Voltage Distribution Grids
Previous Article in Journal
High Accurate Environmental Sound Classification: Sub-Spectrogram Segmentation versus Temporal-Frequency Attention Mechanism
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Coordination of Macro Base Stations for 5G Network with User Clustering

State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
*
Author to whom correspondence should be addressed.
Sensors 2021, 21(16), 5501; https://doi.org/10.3390/s21165501
Submission received: 20 June 2021 / Revised: 27 July 2021 / Accepted: 11 August 2021 / Published: 16 August 2021
(This article belongs to the Special Issue Communication and Data Management for Smart Grids)

Abstract

With the increasing amounts of terminal equipment with higher requirements of communication quality in the emerging fifth generation mobile communication network (5G), the energy consumption of 5G base stations (BSs) is increasing significantly, which not only raises the operating expenses of telecom operators but also imposes a burden on the environment. To solve this problem, a two-step energy management method that coordinates 5G macro BSs for 5G networks with user clustering is proposed. The coordination among the communication equipment and the standard equipment in 5G macro BSs is developed to reduce both the energy consumption and the electricity costs. A novel user clustering method is proposed together with Benders decomposition to accelerate the solving process. Simulation results show that the proposed method is computationally efficient and can ensure near-optimal performance, effectively reducing the energy consumption and electricity costs compared with the conventional dispatching scheme.
Keywords: 5G macro base station; energy management; BS sleeping; user clustering; Benders decomposition 5G macro base station; energy management; BS sleeping; user clustering; Benders decomposition

Share and Cite

MDPI and ACS Style

Li, K.; Ai, X.; Fang, J.; Zhou, B.; Le, L.; Wen, J. Coordination of Macro Base Stations for 5G Network with User Clustering. Sensors 2021, 21, 5501. https://doi.org/10.3390/s21165501

AMA Style

Li K, Ai X, Fang J, Zhou B, Le L, Wen J. Coordination of Macro Base Stations for 5G Network with User Clustering. Sensors. 2021; 21(16):5501. https://doi.org/10.3390/s21165501

Chicago/Turabian Style

Li, Kun, Xiaomeng Ai, Jiakun Fang, Bo Zhou, Lingling Le, and Jinyu Wen. 2021. "Coordination of Macro Base Stations for 5G Network with User Clustering" Sensors 21, no. 16: 5501. https://doi.org/10.3390/s21165501

APA Style

Li, K., Ai, X., Fang, J., Zhou, B., Le, L., & Wen, J. (2021). Coordination of Macro Base Stations for 5G Network with User Clustering. Sensors, 21(16), 5501. https://doi.org/10.3390/s21165501

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop