research-article

On Backup Battery Data in Base Stations of Mobile Networks: Measurement, Analysis, and Optimization

Authors:

Jiangchuan LiuAuthors Info & Claims

CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management

Pages 1513 - 1522

https://doi.org/10.1145/2983323.2983734

Published: 24 October 2016 Publication History

Abstract

Base stations have been massively deployed nowadays to afford the explosive demand to infrastructure-based mobile networking services, including both cellular networks and commercial WiFi access points. To maintain high service availability, backup battery groups are usually installed on base stations and serve as the only power source during power outages, which can be prevalent in rural areas or during severe weather conditions such as hurricanes or snow storms. Therefore, being able to understand and predict the battery group working condition is of immense technical and commercial importance as the first step towards a cost-effective battery maintenance on minimizing service interruptions.

In this paper, we conduct a systematical analysis on a real world dataset collected from the battery groups installed on the base stations of China Mobile, with totally 1,550,032,984 records from July 28th, 2014 to February 17th, 2016. We find that the working condition degradation of a battery group may be accelerated under various situations and can cause premature failures on batteries in the group, which can hardly be captured by nowadays maintenance procedure and easily lead to a power-outage-triggered service interruption to a base station. To this end, we propose BatPro, a battery profiling framework, to precisely extract the features that cause the working condition degradation of the battery group. We formulate the prediction models for both battery voltage and lifetime and develop a series of solutions to yield accurate outputs. By real world trace-driven evaluations, we demonstrate that our BatPro approach can precisely predict the battery voltage and lifetime with the RMS error less than 0.01 v.

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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
Stark SVolkova ALehnhoff Sde Meer H(2021)Why Your Power System Restoration Does Not Work and What the ICT System Can Do About ItProceedings of the Twelfth ACM International Conference on Future Energy Systems10.1145/3447555.3465415(269-273)Online publication date: 22-Jun-2021
https://dl.acm.org/doi/10.1145/3447555.3465415
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
Show More Cited By

Index Terms

On Backup Battery Data in Base Stations of Mobile Networks: Measurement, Analysis, and Optimization

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cover image ACM Conferences

CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management

October 2016

2566 pages

ISBN:9781450340731

DOI:10.1145/2983323

General Chairs:
Snehasis Mukhopadhyay
Indiana University Purdue University Indianapolis, USA
,
ChengXiang Zhai
University of Illinois at Urbana-Champaign, USA
,
Program Chairs:
Elisa Bertino
Purdue University
,
Fabio Crestani
University of Lugano
,
Javed Mostafa
University of North Carolina
,
Jie Tang
Tsinghua University
,
Luo Si
Alibaba Group Inc & Purdue University
,
Xiaofang Zhou
University of Queensland
,
Yi Chang
Yahoo Research
,
Yunyao Li
IBM Research - Almaden
,
Parikshit Sondhi
WalmartLabs

Copyright © 2016 ACM.

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Publication History

Published: 24 October 2016

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the Start-up Grant from the University of Mississippi
an RTI grant
an E.W.R. Steacie Memorial Fellowship
an NSERC Discovery Grant
a Strategic Project Grant

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CIKM'16

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CIKM'16: ACM Conference on Information and Knowledge Management

October 24 - 28, 2016

Indiana, Indianapolis, USA

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CIKM '16 Paper Acceptance Rate 160 of 701 submissions, 23%;

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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CIKM '25

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The 34th ACM International Conference on Information and Knowledge Management

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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
Stark SVolkova ALehnhoff Sde Meer H(2021)Why Your Power System Restoration Does Not Work and What the ICT System Can Do About ItProceedings of the Twelfth ACM International Conference on Future Energy Systems10.1145/3447555.3465415(269-273)Online publication date: 22-Jun-2021
https://dl.acm.org/doi/10.1145/3447555.3465415
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
Wang FWang FFan XLiu J(2017)BatAllocProceedings of the Eighth International Conference on Future Energy Systems10.1145/3077839.3077863(234-241)Online publication date: 16-May-2017
https://dl.acm.org/doi/10.1145/3077839.3077863

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