DocumentCode :
1463701
Title :
Green Small-Cell Networks
Author :
Hoydis, Jakob ; Kobayashi, Mari ; Debbah, Mérouane
Author_Institution :
RWTH Aachen Univ., Aachen, Germany
Volume :
6
Issue :
1
fYear :
2011
fDate :
3/1/2011 12:00:00 AM
Firstpage :
37
Lastpage :
43
Abstract :
The exponentially increasing demand for wireless data services requires a massive network densification that is neither economically nor ecologically viable with the current cellular system architectures. A promising solution to this problem is the concept of small-cell networks (SCNs), which is founded by the idea of a very dense deployment of self-organizing, low-cost, low-power, base stations (BSs). Although SCNs have the potential to significantly increase the capacity of cellular networks while reducing their energy consumption, they pose many new challenges to the optimal system design. We show in this article how a large system analysis based on random matrix theory (RMT) can provide tight and tractable approximations of key performance measures of SCNs.
Keywords :
cellular radio; energy consumption; telecommunication networks; telecommunication traffic; wireless LAN; base stations; cellular networks; cellular system architectures; energy consumption; green small-cell networks; network densification; optimal system design; random matrix theory; wireless data services; Antennas; Energy efficiency; Green design; Interference; Macrocell networks; Wireless communication;
fLanguage :
English
Journal_Title :
Vehicular Technology Magazine, IEEE
Publisher :
ieee
ISSN :
1556-6072
Type :
jour
DOI :
10.1109/MVT.2010.939904
Filename :
5723093
Link To Document :
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