DocumentCode
623694
Title
Stochastic analysis of energy savings with sleep mode in OFDMA wireless networks
Author
Tsilimantos, Dimitrios ; Gorce, Jean-Marie ; Altman, Eitan
Author_Institution
INRIA, Univ. of Lyon, Villeurbanne, France
fYear
2013
fDate
14-19 April 2013
Firstpage
1097
Lastpage
1105
Abstract
The issue of energy efficiency (EE) in Orthogonal Frequency-Division Multiple Access (OFDMA) wireless networks is discussed in this paper. Our interest is focused on the promising concept of base station (BS) sleep mode, introduced recently as a key feature in order to dramatically reduce network energy consumption. The proposed technical approach fully exploits the properties of stochastic geometry, where the number of active cells is reduced in a way that the outage probability, or equivalently the signal to interference plus noise (SINR) distribution, remains the same. The optimal EE gains are then specified with the help of a simplified but yet realistic BS power consumption model. Furthermore, the authors extend their initial work by studying a non-singular path loss model in order to verify the validity of the analysis and finally, the impact on the achieved user capacity is investigated. In this context, the significant contribution of this paper is the evaluation of the theoretically optimal energy savings of sleep mode, with respect to the decisive role that the BS power profile plays.
Keywords
OFDM modulation; energy conservation; frequency division multiple access; geometry; power consumption; probability; radiofrequency interference; stochastic processes; telecommunication power management; BS power consumption model; BS power profile; EE; OFDMA wireless network; SINR distribution; active cells; base station; energy efficiency; network energy consumption; nonsingular path loss model; optimal energy saving; orthogonal frequency-division multiple access wireless network; outage probability; signal to interference plus noise; sleep mode; stochastic analysis; stochastic geometry; user capacity; Analytical models; Interference; Mathematical model; Optimized production technology; Power demand; Signal to noise ratio; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
INFOCOM, 2013 Proceedings IEEE
Conference_Location
Turin
ISSN
0743-166X
Print_ISBN
978-1-4673-5944-3
Type
conf
DOI
10.1109/INFCOM.2013.6566900
Filename
6566900
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