research-article

BatAlloc: Effective Battery Allocation against Power Outage for Cellular Base Stations

Authors:

Jiangchuan LiuAuthors Info & Claims

e-Energy '17: Proceedings of the Eighth International Conference on Future Energy Systems

Pages 234 - 241

https://doi.org/10.1145/3077839.3077863

Published: 16 May 2017 Publication History

Abstract

Base stations play a key role in today's cellular networks. Their reliability and availability heavily depend on the electrical power supply. Modern power grid is known to be highly reliable, but still suffers from outage due to severe weather or human-driven accidents, particularly in remote areas. Most of the base stations are thus equipped with backup battery groups. Given their limited numbers and capacities, they however can hardly sustain a long power outage without a proper allocation strategy. A deep discharge will also accelerate the battery degradation and eventually contribute to a higher battery replacement cost.

In this paper, we closely examine the power outage events and the backup battery status from a one-year dataset of a major cellular service provider, including 4206 base stations distributed across 8400 square kilometers and more than 1.5 million records on battery activities. We then develop BatAlloc, a battery allocation framework to address the mismatch between the battery supporting ability and diverse power outage incidents. We build up a deep leaning based approach to accurately profile battery features and present an effective solution that minimizes both service interruption time and the overall cost. Our trace-driven experiments show that BatAlloc cuts down the average service interruption time from 5 hours to nearly zero with only 88% of the overall cost compared to the current practical allocation.

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Digital Library

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Cited By

Tang GGuo DWu KTang GGuo DWu K(2022)Optimal Backup Power Allocation for 5G Base StationsGreenEdge: New Perspectives to Energy Management and Supply in Mobile Edge Computing10.1007/978-981-16-9690-9_4(51-65)Online publication date: 18-Feb-2022
https://doi.org/10.1007/978-981-16-9690-9_4
Tang GWang YLu H(2020)ShiftGuard: Towards Reliable 5G Network by Optimal Backup Power Allocation2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)10.1109/SmartGridComm47815.2020.9303003(1-6)Online publication date: 11-Nov-2020
https://doi.org/10.1109/SmartGridComm47815.2020.9303003
Wang FFan XWang FLiu J(2019)Backup Battery Analysis and Allocation against Power Outage for Cellular Base StationsIEEE Transactions on Mobile Computing10.1109/TMC.2018.284273318:3(520-533)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1109/TMC.2018.2842733

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cover image ACM Conferences

e-Energy '17: Proceedings of the Eighth International Conference on Future Energy Systems

May 2017

388 pages

ISBN:9781450350365

DOI:10.1145/3077839

Copyright © 2017 ACM.

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SIGCOMM: ACM Special Interest Group on Data Communication

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Association for Computing Machinery

New York, NY, United States

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Published: 16 May 2017

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e-Energy '17

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e-Energy '17: The Eighth International Conference on Future Energy Systems

May 16 - 19, 2017

Shatin, Hong Kong

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Overall Acceptance Rate 160 of 446 submissions, 36%

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Cited By

Tang GGuo DWu KTang GGuo DWu K(2022)Optimal Backup Power Allocation for 5G Base StationsGreenEdge: New Perspectives to Energy Management and Supply in Mobile Edge Computing10.1007/978-981-16-9690-9_4(51-65)Online publication date: 18-Feb-2022
https://doi.org/10.1007/978-981-16-9690-9_4
Tang GWang YLu H(2020)ShiftGuard: Towards Reliable 5G Network by Optimal Backup Power Allocation2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)10.1109/SmartGridComm47815.2020.9303003(1-6)Online publication date: 11-Nov-2020
https://doi.org/10.1109/SmartGridComm47815.2020.9303003
Wang FFan XWang FLiu J(2019)Backup Battery Analysis and Allocation against Power Outage for Cellular Base StationsIEEE Transactions on Mobile Computing10.1109/TMC.2018.284273318:3(520-533)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1109/TMC.2018.2842733

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