DocumentCode :
110307
Title :
GreenBSN: Enabling Energy-Proportional Cellular Base Station Networks
Author :
Chunyi Peng ; Suk-Bok Lee ; Songwu Lu ; Haiyun Luo
Author_Institution :
Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA
Volume :
13
Issue :
11
fYear :
2014
fDate :
Nov. 2014
Firstpage :
2537
Lastpage :
2551
Abstract :
Base station (BS) networks in 3G cellular infrastructure do not consume energy in proportion to their carried traffic load. Our measurements show that the 3G traffic exhibits high fluctuations both in time and over space, thus incurring energy waste. In this paper, we propose Green base station networks (GreenBSN) to approximate network-wide energy proportionality using non-load-adaptive BSes. The instrument is a traffic-driven approach. By leveraging the inherent temporal-spatial traffic dynamics and node deployment heterogeneity, we power off under-utilized BSes under light traffic. Our evaluation on four regional 3G networks shows that GreenBSN yields up to 53 percent energy savings in dense large cities and 23 percent in sparsely deployed regions.
Keywords :
3G mobile communication; cellular radio; power consumption; telecommunication power management; telecommunication traffic; 3G cellular infrastructure; 3G traffic; GreenBSN; energy savings; energy waste; energy-proportional cellular base station networks; network-wide energy; node deployment; nonload-adaptive BS; space fluctuations; temporal-spatial traffic dynamics; time fluctuations; traffic-driven approach; Aggregates; Cities and towns; Cooling; Energy consumption; Green products; Mobile computing; Multiplexing; Energy efficiency; cellular networks; communication system traffic;
fLanguage :
English
Journal_Title :
Mobile Computing, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1233
Type :
jour
DOI :
10.1109/TMC.2014.2307322
Filename :
6746208
Link To Document :
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