Abstract
There has been active research worldwide to develop the next generation, i.e., fifth generation, wireless network. Next generation mobile communication networks are broadening their spectrum to higher frequency bands (above 6 GHz) to support a high data rate up to multigigabits per second. This work examines how to substantially improve energy efficiency for next fifth generation mobile communication systems. It is depicted how by limited exchange of information between neighboring base stations it is possible to maintain quality of service, over a range of traffic loads, while enabling inactive base stations to sleep. Performance of distributed energy efficient topology management schemes are compared against the system without topology management. Performance evaluation is examined using both analytical and simulation based models. Extensive numerical results show that the schemes deliver a significant energy reduction in energy consumption in the mobile network systems.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Mobile VCE, “Green Radio,” (2016). http://www.mobilevce.com/green-radio.
T. Chen, Y. Yang, H. Zhong, H. Kim, and K. Homeman, “Network energy saving technologies for green wireless access networks,” IEEE Wireless Commun. 18, 30–38 (2011).
Y. Chen, “Fundamental trade-offs on green wireless networks,” IEEE Commun. Mag. 49, 30–37, (June 2011).
O. Eunsung and B. Krishnamachari, “Energy savings through dynamic base station switching in cellular wireless access networks,” in Global Telecommunications Conf. (GLOBECOM-2010), IEEE, Miami, Dec. 2010 (IEEE, New York, 2010), pp. 1–5.
C. Han, T. Harrold, S. Armour, and I. Krikidis, “Green Radio: Radio techniques to enable energy-efficient wireless networks,” IEEE Commun. Mag., 49, June (2011).
S. McLaughlin, P. Grant, J. Thompson, and H. Haas, “Techniques for improving cellular radio base station energy efficiency,” IEEE Wireless Commun. 18, 10–17 (2011).
J. S. Thompson and C. Khirallah, “Green Radio Research Advances Overview,” (2015). http://www.ukchinab4g.ac.uk/sites/default/files/.
C. Khirallah, J. S. Thopmson, and H. Rashvard, “Energy and cost impacts of relay and femtocell deployments in log-term-evaluation advanced,” IET Commun. 5, 2617–2628 (2011).
IEEE 802.16 Broadband Wireless Access Working Group, “Considerations for Carrier Aggregation,” (2016). http://www.ieee802.org/16/.
Sleep Mode. https://en.wikipedia.org/wiki/Sleep_mode.
Y. Houcheravy, J. Harju, and A. Sayenko, “An analytic model of IEEE 802/16e sleep mode operation with correlated traffic,” in Proc. 7th Int. Conf. on Next Generation Wired/Wireless Advanced Networking, St. Petersburg, Sept. 2007 (IEEE, New York, 2007).
Z. Roth, M. Goldhamer, N. Chayat, A. Burr, M. Dohler, N. Bartzoudis, C. Walker, Y. Leibe, C. Oestges, M. Brzozowy, and I. Bucaille, “Vision and architecture supporting wireless GBit/sec/km2 Capacity Density Deployments,” in Future Network&Mobile Summit, Florence, Italy, June 16−18, 2010 (IEEE, NewYork, 2010), pp. 1–7.
G. Y. Li et al., “Energy-efficient wireless communications: tutorial, survey, and open issues,” IEEE Wireless Commun., 18 (6), 28–35 (2011).
P. Kyosti, “IST-4-027756 WINNER-II D1.1.2,” (2016). https://www.ist-winner.org/WINNER2-Deliverables/D1.1.2v1.1.pdf.
Author information
Authors and Affiliations
Corresponding author
Additional information
The article is published in the original.
Rights and permissions
About this article
Cite this article
Kahveci, S. Evaluation of energy efficiency of fifth generation mobile systems. J. Commun. Technol. Electron. 62, 1130–1135 (2017). https://doi.org/10.1134/S1064226917100059
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S1064226917100059