A Base Station Sleep Management Scheme Based on Simulated Annealing Algorithm

Wenchao Yang; Xu Bai; Yulong Gao; Rui Wang

doi:10.1007/978-3-030-69069-4_30

A Base Station Sleep Management Scheme Based on Simulated Annealing Algorithm

Wenchao Yang^*
, Xu Bai
, Yulong Gao
, Rui Wang

^*Corresponding author for this work

School of Electronics and Information Engineering

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	Wireless and Satellite Systems - 11th EAI International Conference, WiSATS 2020, Proceedings
Editors	Qihui Wu, Kanglian Zhao, Xiaojin Ding
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	362-368
Number of pages	7
ISBN (Print)	9783030690687
DOIs	https://doi.org/10.1007/978-3-030-69069-4_30
State	Published - 2021
Event	11th EAI International Conference on Wireless and Satellite Systems, WiSATS 2020 - Nanjing, China Duration: 17 Sep 2020 → 18 Sep 2020

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	357
ISSN (Print)	1867-8211
ISSN (Electronic)	1867-822X

Conference

Conference	11th EAI International Conference on Wireless and Satellite Systems, WiSATS 2020
Country/Territory	China
City	Nanjing
Period	17/09/20 → 18/09/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

5G
Energy consumption
Simulated annealing algorithm

Access to Document

10.1007/978-3-030-69069-4_30

Cite this

Yang, W., Bai, X., Gao, Y., & Wang, R. (2021). A Base Station Sleep Management Scheme Based on Simulated Annealing Algorithm. In Q. Wu, K. Zhao, & X. Ding (Eds.), Wireless and Satellite Systems - 11th EAI International Conference, WiSATS 2020, Proceedings (pp. 362-368). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 357). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-69069-4_30

Yang, Wenchao ; Bai, Xu ; Gao, Yulong et al. / A Base Station Sleep Management Scheme Based on Simulated Annealing Algorithm. Wireless and Satellite Systems - 11th EAI International Conference, WiSATS 2020, Proceedings. editor / Qihui Wu ; Kanglian Zhao ; Xiaojin Ding. Springer Science and Business Media Deutschland GmbH, 2021. pp. 362-368 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{94efb22efd314c399c888e5a0ead01c7,

title = "A Base Station Sleep Management Scheme Based on Simulated Annealing Algorithm",

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.",

keywords = "5G, Energy consumption, Simulated annealing algorithm",

author = "Wenchao Yang and Xu Bai and Yulong Gao and Rui Wang",

note = "Publisher Copyright: {\textcopyright} 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 11th EAI International Conference on Wireless and Satellite Systems, WiSATS 2020 ; Conference date: 17-09-2020 Through 18-09-2020",

year = "2021",

doi = "10.1007/978-3-030-69069-4\_30",

language = "英语",

isbn = "9783030690687",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "362--368",

editor = "Qihui Wu and Kanglian Zhao and Xiaojin Ding",

booktitle = "Wireless and Satellite Systems - 11th EAI International Conference, WiSATS 2020, Proceedings",

address = "德国",

}

Yang, W , Bai, X , Gao, Y & Wang, R 2021, A Base Station Sleep Management Scheme Based on Simulated Annealing Algorithm. in Q Wu, K Zhao & X Ding (eds), Wireless and Satellite Systems - 11th EAI International Conference, WiSATS 2020, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 357, Springer Science and Business Media Deutschland GmbH, pp. 362-368, 11th EAI International Conference on Wireless and Satellite Systems, WiSATS 2020, Nanjing, China, 17/09/20. https://doi.org/10.1007/978-3-030-69069-4_30

A Base Station Sleep Management Scheme Based on Simulated Annealing Algorithm. / Yang, Wenchao ; Bai, Xu ; Gao, Yulong et al.
Wireless and Satellite Systems - 11th EAI International Conference, WiSATS 2020, Proceedings. ed. / Qihui Wu; Kanglian Zhao; Xiaojin Ding. Springer Science and Business Media Deutschland GmbH, 2021. p. 362-368 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 357).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Base Station Sleep Management Scheme Based on Simulated Annealing Algorithm

AU - Yang, Wenchao

AU - Bai, Xu

AU - Gao, Yulong

AU - Wang, Rui

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - 5G

KW - Energy consumption

KW - Simulated annealing algorithm

UR - https://www.scopus.com/pages/publications/85103288917

U2 - 10.1007/978-3-030-69069-4_30

DO - 10.1007/978-3-030-69069-4_30

M3 - 会议稿件

AN - SCOPUS:85103288917

SN - 9783030690687

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 362

EP - 368

BT - Wireless and Satellite Systems - 11th EAI International Conference, WiSATS 2020, Proceedings

A2 - Wu, Qihui

A2 - Zhao, Kanglian

A2 - Ding, Xiaojin

PB - Springer Science and Business Media Deutschland GmbH

T2 - 11th EAI International Conference on Wireless and Satellite Systems, WiSATS 2020

Y2 - 17 September 2020 through 18 September 2020

ER -

Yang W , Bai X , Gao Y, Wang R. A Base Station Sleep Management Scheme Based on Simulated Annealing Algorithm. In Wu Q, Zhao K, Ding X, editors, Wireless and Satellite Systems - 11th EAI International Conference, WiSATS 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 362-368. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-030-69069-4_30

A Base Station Sleep Management Scheme Based on Simulated Annealing Algorithm

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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