NDLI: Towards Energy Efficient and Quality of Service Aware Cell Zooming in 5G Wireless Networks

Content Provider	IEEE Xplore Digital Library
Author	Lateef, H.Y. Shakir, M.Z. Ismail, M. Mohamed, A. Qaraqe, K.
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Texas A&M Univ. at Qatar, Doha, Qatar (Shakir, M.Z.; Ismail, M.; Qaraqe, K.) \|\| Dept. of Comput. Sci., Qatar Univ. (QU), Doha, Qatar (Lateef, H.Y.; Mohamed, A.)
Abstract	This paper presents an energy efficient and quality of service aware dynamic cell zooming algorithm for dense heterogeneous networks. The exponential growth of mobile data traffic would lead to dense deployment of small base stations and eventually higher energy consumption in Fifth Generation (5G) wireless networks. We formulate a dynamic cell zooming and base stations sleep optimization algorithm for dense heterogeneous networks as a Linear Programming (LP) problem in order to not only minimize the system power consumption but also to guarantee the quality of service to end user. This is possible by optimally zooming the coverage area of macro base stations and small cells based upon real time traffic conditions. We characterize the optimal as well as provide an approximate solution, which, however, performs very closely to the optimum. The extensive performance evaluation of our proposed dynamic cell zooming algorithm shows that our proposed algorithm can significantly decrease both system energy consumption and outage probability.
Starting Page	1
Ending Page	5
File Size	393050
Page Count	5
File Format	PDF
e-ISBN	9781479980918
DOI	10.1109/VTCFall.2015.7391181
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Base stations Heuristic algorithms Energy consumption 5G mobile communication Quality of service Heterogeneous networks Optimization
Content Type	Text
Resource Type	Article

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