Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

GreenBSN: Enabling Energy-Proportional Cellular Base Station Networks

Authors
Peng, ChunyiLee, Suk-BokLu, SongwuLuo, Haiyun
Issue Date
Nov-2014
Publisher
Institute of Electrical and Electronics Engineers
Keywords
Energy efficiency; cellular networks; communication system traffic
Citation
IEEE Transactions on Mobile Computing, v.13, no.11, pp 2537 - 2551
Pages
15
Indexed
SCI
SCIE
SCOPUS
Journal Title
IEEE Transactions on Mobile Computing
Volume
13
Number
11
Start Page
2537
End Page
2551
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/21495
DOI
10.1109/TMC.2014.2307322
ISSN
1536-1233
1558-0660
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-loadadaptive 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.
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF COMPUTING > ERICA 컴퓨터학부 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Suk Bok photo

Lee, Suk Bok
ERICA 소프트웨어융합대학 (ERICA 컴퓨터학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE