DocumentCode
2178525
Title
Bee system-based energy efficient base station operation in mobile cellular networks
Author
Biswash, Sanjay Kumar ; Sarkar, Mahasweta ; Nagaraj, Santosh
Author_Institution
Dept. of Electr. & Comput. Eng., San Diego State Univ., San Diego, CA, USA
fYear
2015
fDate
16-19 Feb. 2015
Firstpage
357
Lastpage
362
Abstract
Ubiquitous communication is being envisioned as the daunting feature in the next generation of cellular networks. However, it comes with the price tag of humungous energy consumption, a significant fraction of which is due to the base stations within a service area. In this paper, we propose a cooperation technique among base stations in a cellular network that reduces their energy consumption. Our algorithm is based on nature-inspired computing, especially the bee system. In our proposed algorithm, all base stations within a given area work together to provide a better quality of experience (QoE) to a mobile user. A base station first checks for availability of unutilized (or underutilized) bandwidth. If the availability is over a certain threshold, all base stations will perform a reunion procedure to provide a uniform distribution of the consumed bandwidth (bandwidth load), thereby providing better service to users. We have also formulated a novel analysis technique to determine the effectiveness, efficiency and scalability of the proposed scheme. Our results show-case the fact that our algorithm indeed yields higher energy efficiency at the base stations when compared to traditional schemes.
Keywords
cellular radio; cooperative communication; energy conservation; personal communication networks; quality of experience; telecommunication computing; telecommunication power management; QoE; bandwidth load; bee system; cooperation technique; energy consumption reduction; energy efficient base station operation; mobile cellular networks; mobile user; nature-inspired computing; quality of experience; Bandwidth; Base stations; Energy efficiency; Handover; Mobile communication; Quality of service; Base station co-operation; Bee System; Energy Efficiency; Mobile Cellular Networks; Nature Inspired Computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Networking and Communications (ICNC), 2015 International Conference on
Conference_Location
Garden Grove, CA
Type
conf
DOI
10.1109/ICCNC.2015.7069369
Filename
7069369
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