DocumentCode :
2087840
Title :
Energy efficiency analysis of small cell networks
Author :
Chang Li ; Jun Zhang ; Letaief, Khaled
Author_Institution :
Dept. of ECE, Hong Kong Univ. of Sci. & Technol., Hong Kong, China
fYear :
2013
fDate :
9-13 June 2013
Firstpage :
4404
Lastpage :
4408
Abstract :
Small cell networks have recently been proposed as an important evolution path for the next-generation cellular networks. While such approach has the potential of meeting the growing network throughput requirement, the energy efficiency of small cell networks is of great concern as the base station (BS) density will be significantly increased. The objective of this paper is to analyze the energy efficiency in small cell networks. To do so, we adopt a random spatial network model, where BSs and users are modeled as two independent spatial Poisson point processes (PPPs). We shall derive analytical results for the network energy efficiency, which show that the BS power consumption model plays a critical role. In particular, it will be shown that increasing the BS density can actually improve the energy efficiency if the BS power consumption that is not related to signal transmission is less than a certain threshold. By comparing the cases between single-antenna and multi-antenna BSs, we find that single-antenna BSs provide a higher energy efficiency if the circuit power is larger than a threshold. Simulation results will demonstrate that our conclusions which are based on the random network model also hold in a regular grid-based model.
Keywords :
antennas; cellular radio; energy conservation; next generation networks; BS power consumption model; base station density; energy efficiency analysis; multiantenna BS; network energy efficiency; next generation cellular networks; random network model; random spatial network model; regular grid based model; signal transmission; single antenna BS; small cell networks; spatial Poisson point processes; Ad hoc networks; Analytical models; Antennas; Interference; Power demand; Throughput; Wireless communication; Green communications; Poisson point process; cellular networks; energy efficiency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2013 IEEE International Conference on
Conference_Location :
Budapest
ISSN :
1550-3607
Type :
conf
DOI :
10.1109/ICC.2013.6655259
Filename :
6655259
Link To Document :
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