DocumentCode
616002
Title
Spatial modeling of Scalable Spatially-correlated Log-normal distributed traffic inhomogeneity and energy-efficient network planning
Author
Dongheon Lee ; Sheng Zhou ; Zhisheng Niu
Author_Institution
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear
2013
fDate
7-10 April 2013
Firstpage
1285
Lastpage
1290
Abstract
This paper explores the influence of the inhomogeneous spatial traffic distribution on the performance of energy efficiency and proposes an energy-efficient heterogeneous network planning scheme for cellular networks. We first provide a spatial modeling method of Scalable, Spatially correlated, and Log-normally distributed Traffic (SSLT). Together with the spatial modeling, the measure of inhomogeneity of spatial traffic distributions is introduced which is related to the energy efficiency performance of network planning. Then we propose a network planning scheme which deploys both micro and macro base stations (BSes) adapting to the traffic inhomogeneity. Numerical results show that when the spatial traffic distribution is more inhomogeneous, the proposed scheme improves energy efficiency by deploying more micro BSes. We also found that proportional relationships exist among three values, i.e. the ratio of the number of micro and macro BSes, energy efficiency, and the inhomogeneity.
Keywords
cellular radio; energy conservation; log normal distribution; telecommunication network planning; telecommunication traffic; BSes; cellular networks; energy efficiency; energy-efficient heterogeneous network planning; energy-efficient network planning; inhomogeneous spatial traffic distribution; macro base stations; scalable spatially-correlated log-normal distributed traffic inhomogeneity; spatial modeling; spatial traffic distribution; spatially correlated and log-normally distributed traffic; Distribution functions; Graphical models; Load modeling; Nonhomogeneous media; Numerical models; Planning; Power demand;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Conference (WCNC), 2013 IEEE
Conference_Location
Shanghai
ISSN
1525-3511
Print_ISBN
978-1-4673-5938-2
Electronic_ISBN
1525-3511
Type
conf
DOI
10.1109/WCNC.2013.6554749
Filename
6554749
Link To Document