research-article

Energy efficient management of two cellular access networks

Authors:

Marco Ajmone Marsan,

Michela MeoAuthors Info & Claims

ACM SIGMETRICS Performance Evaluation Review, Volume 37, Issue 4

Pages 69 - 73

https://doi.org/10.1145/1773394.1773406

Published: 27 March 2010 Publication History

Get Access

Abstract

In this paper we evaluate the energy saving that can be achieved with the energy-aware cooperative management of the cellular access networks of two operators offering service over the same area. We evaluate the amount of energy that can be saved by using both networks in high traffic conditions, but switching off one of the two during the periods when traffic is so low that the desired quality of service can be obtained with just one network. When one of the two networks is off, its customers are allowed to roam over the one that is on. Several alternatives are studied, as regards the switch-off pattern: the one that balances the switch-off frequencies, the one that balances roaming costs, the one that balances energy savings, and the one that maximizes the amount of saved energy. Our results indicate that a huge amount of energy can be saved, and suggest that, to reduce energy consumption, new cooperative attitudes of the operators should be encouraged with appropriate incentives, or even enforced by regulation authorities.

References

[1]

ITU, "Measuring the Information Society - The ICT Development Index", 2009.

Google Scholar

[2]

EC, "Progress Report on the Single European Electronic Communications Market 2008 (14th Report)", Mar. 24, 2009.

Google Scholar

[3]

S. Pileri, "Energy and communication: engine of the human progress", Intelec Opening Keynote Speech, 2007, http://www.ega.it/intelec2007/img/Stefano Pileri.pdf.

Google Scholar

[4]

M. Etoh et al., "Energy Consumption Issues on Mobile Network Systems", IEEE SAINT 2008, Turku, Finland, July 2008.

Digital Library

Google Scholar

[5]

M. Gupta, S. Singh, "Greening of the Internet", ACM SIGCOMM, Karlsruhe, Germany, August 2003.

Digital Library

Google Scholar

[6]

M. Pickavet et al., "Worldwide Energy Needs for ICT: the Rise of Power-Aware Networking", IEEE ANTS Conference, Bombay, India, December 2008.

Google Scholar

[7]

M. Liebsch, X. Perez-Costa, "Utilization of the IEEE 802.11 Power Save Mode with IP Paging", ICC 2005.

Google Scholar

[8]

A. Jardosh, K. Papagiannaki, E. Belding, K. Almeroth, G. Iannaccone, B. Vinnakota, "Green WLANs: On-Demand WLAN Infrastructure", UCSB Rep. ID: 2008-03, March 2008.

Google Scholar

[9]

L. Chiaraviglio, D. Ciullo, M. Meo, M. Ajmone Marsan, "Energy-Aware UMTS Access Networks", W-GREEN 2008, Lapland, September 2008.

Google Scholar

[10]

M. Ajmone Marsan, L. Chiaraviglio, D. Ciullo, M. Meo, Optimal Energy Savings in Cellular Access Networks, GreenComm 2009, Dresden, Germany, June 2009.

Google Scholar

Cited By

View all

Premalatha JSahayaAnselin Nisha A(2023)Base Station Energy Management in 5G Networks Using Wide Range Control OptimizationIntelligent Automation & Soft Computing10.32604/iasc.2023.02652335:1(811-826)Online publication date: 2023
https://doi.org/10.32604/iasc.2023.026523
Tan XXiong KGao BFan PLetaief K(2023)Energy-Efficient Base Station Switching-Off With Guaranteed Cooperative Profit Gain of Mobile Network OperatorsIEEE Transactions on Green Communications and Networking10.1109/TGCN.2023.32532457:3(1250-1266)Online publication date: Sep-2023
https://doi.org/10.1109/TGCN.2023.3253245
Divya RJayanthi V(2020)RETRACTED ARTICLE: Efficient optimal resource allocation for profit maximization in software defined network approach to improve quality of service in cloud environmentsJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-02192-812:6(6241-6250)Online publication date: 15-Jun-2020
https://doi.org/10.1007/s12652-020-02192-8
Show More Cited By

Index Terms

Energy efficient management of two cellular access networks

Recommendations

Energy efficient wireless Internet access with cooperative cellular networks

In this paper we study the energy-aware cooperative management of the cellular access networks of the operators that offer service over the same area. In particular, we evaluate the amount of energy that can be saved by using all networks in high ...
Optimized network management for energy savings of wireless access networks

The energy consumption of wireless access networks is rapidly increasing and in some countries it amounts for more than 55% of the whole communication sector and for a non negligible part of the operational costs of mobile operators. The new wireless ...
Energy efficient communications for future broadband cellular networks

Energy efficiency is increasingly important for wireless cellular systems due to the limited battery resources of mobile clients. While modern cellular standards emphasize low client battery consumption, existing techniques do not explicitly focus on ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM SIGMETRICS Performance Evaluation Review

ACM SIGMETRICS Performance Evaluation Review Volume 37, Issue 4

March 2010

87 pages

ISSN:0163-5999

DOI:10.1145/1773394

Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 March 2010

Published in SIGMETRICS Volume 37, Issue 4

Check for updates

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

73
Total Citations
View Citations
563
Total Downloads

Downloads (Last 12 months)8
Downloads (Last 6 weeks)2

Reflects downloads up to 16 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Premalatha JSahayaAnselin Nisha A(2023)Base Station Energy Management in 5G Networks Using Wide Range Control OptimizationIntelligent Automation & Soft Computing10.32604/iasc.2023.02652335:1(811-826)Online publication date: 2023
https://doi.org/10.32604/iasc.2023.026523
Tan XXiong KGao BFan PLetaief K(2023)Energy-Efficient Base Station Switching-Off With Guaranteed Cooperative Profit Gain of Mobile Network OperatorsIEEE Transactions on Green Communications and Networking10.1109/TGCN.2023.32532457:3(1250-1266)Online publication date: Sep-2023
https://doi.org/10.1109/TGCN.2023.3253245
Divya RJayanthi V(2020)RETRACTED ARTICLE: Efficient optimal resource allocation for profit maximization in software defined network approach to improve quality of service in cloud environmentsJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-02192-812:6(6241-6250)Online publication date: 15-Jun-2020
https://doi.org/10.1007/s12652-020-02192-8
Pamuklu TCavdar CErsoy C(2020)Renewable Energy Assisted Function Splitting in Cloud Radio Access NetworksMobile Networks and Applications10.1007/s11036-020-01544-025:5(2012-2023)Online publication date: 1-Oct-2020
https://dl.acm.org/doi/10.1007/s11036-020-01544-0
Modi NMary PMoy C(2019)Transfer restless multi-armed bandit policy for energy-efficient heterogeneous cellular networkEURASIP Journal on Advances in Signal Processing10.1186/s13634-019-0637-12019:1Online publication date: 21-Oct-2019
https://doi.org/10.1186/s13634-019-0637-1
Wang XZhang YZhang XWang W(2019)Traffic Prediction for Wireless Cellular System Based on Shrinkage Estimation2019 2nd International Conference on Safety Produce Informatization (IICSPI)10.1109/IICSPI48186.2019.9095939(108-113)Online publication date: Nov-2019
https://doi.org/10.1109/IICSPI48186.2019.9095939
Hossain MMunasinghe KJamalipour A(2019)Energy-efficient inter-RAN cooperation for non-collocated cell sites with base station selection and user association policiesWireless Networks10.1007/s11276-017-1556-425:1(269-285)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1007/s11276-017-1556-4
Yang BShen YHan QChen CGuan XZhang W(2018)Energy-Efficient Resource Allocation for Time-Varying OFDMA Relay Systems With Hybrid Energy SuppliesIEEE Systems Journal10.1109/JSYST.2016.255131912:1(702-713)Online publication date: Mar-2018
https://doi.org/10.1109/JSYST.2016.2551319
Abera YHailemariam D(2018)Spatio-temporal Mobile Data Traffic Modeling Using Fourier Transform Techniques2018 International Conference on Information and Communication Technology Convergence (ICTC)10.1109/ICTC.2018.8539698(20-24)Online publication date: Oct-2018
https://doi.org/10.1109/ICTC.2018.8539698
Datsika EAntonopoulos APassas NKormentzas GVerikoukis C(2018)Green Resource Management for Over-the-Top Services in 5G Networks Using Matching Theory2018 IEEE International Conference on Communications (ICC)10.1109/ICC.2018.8422525(1-6)Online publication date: May-2018
https://doi.org/10.1109/ICC.2018.8422525
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Energy efficient wireless Internet access with cooperative cellular networks

Optimized network management for energy savings of wireless access networks

Energy efficient communications for future broadband cellular networks