[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/2208828.2208839acmotherconferencesArticle/Chapter ViewAbstractPublication Pagese-energyConference Proceedingsconference-collections
research-article

Analysis on the battery lifespan of a mobile terminal under probabilistic delay constraint

Published: 09 May 2012 Publication History

Abstract

The conflict between energy consumption and battery capacity has become more significant in modern mobile terminals that support various functions in addition to traditional voice. It is of great importance to extend battery lifespan and at the same time to guarantee the required quality of service (QoS). In this paper, we investigate the relationship between the battery lifespan of a mobile terminal and the data traffic on the terminal that has a delay constraint. Specifically, an uplink with periodical traffic arrival and Rayleigh fading channel is considered. An optimization problem is formulated with the objective of minimizing the transmission rate while at the same time ensuring the required delay guarantee, so that the battery lifespan can be maximized. Numerical results under different configurations are presented and discussed.

References

[1]
N. Balasubramanian and et al. Energy consumption in mobile phones: A measurement study and implications for network applications. In ACM IMC, 2009.
[2]
R. Berry and R. Gallager. Communication over fading channels with delay constraints. IEEE ToIT, 2002.
[3]
B. E. Collins and R. L. Cruz. Transmission policies for time varying channels with average delay constraints. In Allerton Conf. on Commun., Control, & Comp., 1999.
[4]
K. German. Cell phone battery life charts. CNET Reviews, Nov 2011.
[5]
E. N. Gilbert. Capacity of a bursty-noise channel. Bell System Technical Journal, 39(5):1253--1265, 1960.
[6]
Y. Jiang and Y. Liu. Stochastic Network Calculus. Springer, 2008.
[7]
F. Kelly. Notes on effective bandwidths. Royal Statistical Society Lecture Notes Series, 4:141--168, 1996.
[8]
L. Liu and et al. Resource allocation and quality of service evaluation for wireless communication systems using fluid models. IEEE ToIT, 2007.
[9]
K. Wu, Y. Jiang, and D. Marinakis. A stochastic calculus for network systems with renewable energy sources. In IEEE INFOCOM 2012 Workshop.

Cited By

View all
  • (2021)Stochastic network calculus analysis of energy harvesting rate in wireless networks with delay and energy storage constraints2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)10.1109/PIMRC.2015.7343554(1600-1605)Online publication date: 10-Mar-2021
  • (2015)Performance analysis for multi-carrier system based on stochastic network calculus2015 IEEE/CIC International Conference on Communications in China (ICCC)10.1109/ICCChina.2015.7448707(1-5)Online publication date: Nov-2015
  • (2014)Analysis on the energy consumption in stochastic wireless networks2014 IEEE International Conference on Communications Workshops (ICC)10.1109/ICCW.2014.6881309(866-870)Online publication date: Jun-2014

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences
e-Energy '12: Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet
May 2012
250 pages
ISBN:9781450310550
DOI:10.1145/2208828
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • IEEE-CS\DATC: IEEE Computer Society

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 May 2012

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Research-article

Conference

e-Energy'12
Sponsor:
  • IEEE-CS\DATC

Acceptance Rates

Overall Acceptance Rate 160 of 446 submissions, 36%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)2
  • Downloads (Last 6 weeks)1
Reflects downloads up to 01 Mar 2025

Other Metrics

Citations

Cited By

View all
  • (2021)Stochastic network calculus analysis of energy harvesting rate in wireless networks with delay and energy storage constraints2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)10.1109/PIMRC.2015.7343554(1600-1605)Online publication date: 10-Mar-2021
  • (2015)Performance analysis for multi-carrier system based on stochastic network calculus2015 IEEE/CIC International Conference on Communications in China (ICCC)10.1109/ICCChina.2015.7448707(1-5)Online publication date: Nov-2015
  • (2014)Analysis on the energy consumption in stochastic wireless networks2014 IEEE International Conference on Communications Workshops (ICC)10.1109/ICCW.2014.6881309(866-870)Online publication date: Jun-2014

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media