Research Article
A Base Station Sleep Management Scheme Based on Simulated Annealing Algorithm
@INPROCEEDINGS{10.1007/978-3-030-69069-4_30, author={Wenchao Yang and Xu Bai and Yulong Gao and Rui Wang}, title={A Base Station Sleep Management Scheme Based on Simulated Annealing Algorithm}, proceedings={Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part I}, proceedings_a={WISATS}, year={2021}, month={2}, keywords={5G Energy consumption Simulated annealing algorithm}, doi={10.1007/978-3-030-69069-4_30} }- Wenchao Yang
Xu Bai
Yulong Gao
Rui Wang
Year: 2021
A Base Station Sleep Management Scheme Based on Simulated Annealing Algorithm
WISATS
Springer
DOI: 10.1007/978-3-030-69069-4_30
Abstract
With the advent of 5G, the energy consumption of communication industry also increases, among which the base station (BS) energy consumption accounts for 43% of the total energy consumption of mobile communication.In order to reduce the communication energy consumption, the BS sleep technology can make the BS with low load enter the sleep state, realize the energy saving and create the green communication. In this paper, the simulated annealing (SA) algorithm is used to determine the BS closing mode. The switching situation can effectively reduce the energy consumption, which has practical significance and conforms to the expectation. The simulation results show that the sleep strategy can reduce the energy consumption, and the optimization of the algorithm can get a better solution and a simpler traversal process.
