Energy-Effcient Dynamic Deployment Architecture for Future Cellular Systems

Alsedairy, T., Imran, M. , Qi, Y. and Evans, B. (2013) Energy-Effcient Dynamic Deployment Architecture for Future Cellular Systems. In: 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), London, UK, 08-11 Sep 2013, pp. 3111-3116. ISBN 9781467362351 (doi:10.1109/PIMRC.2013.6666681)

Alsedairy, T., Imran, M. , Qi, Y. and Evans, B. (2013) Energy-Effcient Dynamic Deployment Architecture for Future Cellular Systems. In: 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), London, UK, 08-11 Sep 2013, pp. 3111-3116. ISBN 9781467362351 (doi:10.1109/PIMRC.2013.6666681)

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Abstract

There is a need to develop energy-efficient adaptive systems for future telecommunication networks. While traffic varies at different times, the power consumption of the radio access network does not scale with it effectively. To make significant energy savings, a dynamic deployment approach is required to allow the system to operate in an energy-efficient mode with respect to traffic load. By deploying small base stations within the area of a conventional macro station, we are able to reduce energy consumption while maintaining QoS. This paper proposes an energy-efficient dynamic deployment architecture based on fuzzy-logic. The algorithm aids in the decision of the architecture layout deployment. Moreover, by implementing the proposed adaptive energy-efficient algorithm, the network gains flexibility that can increase coverage or throughput throughout the same network by adapting its operation to source its requirements better and change them when new requirements arise.

Item Type:Conference Proceedings
Additional Information:This work was made possible by NPRP grant No. 5-1047-2437 from the Qatar National Research Fund (a member of The Qatar Foundation).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Alsedairy, T., Imran, M., Qi, Y., and Evans, B.
College/School:College of Science and Engineering > School of Engineering
ISBN:9781467362351
Published Online:25 November 2013

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