DocumentCode :
148352
Title :
Statistical models for battery recharging time in RF energy harvesting systems
Author :
Altinel, Dogay ; Kurt, Gunes Karabulut
Author_Institution :
Dept. of Electron. & Commun. Eng., Istanbul Tech. Univ., Istanbul, Turkey
fYear :
2014
fDate :
6-9 April 2014
Firstpage :
636
Lastpage :
641
Abstract :
This paper investigates the usage of radio frequency (RF) signal as a source in energy harvesting systems. The open issue in the related literature is the characterization of battery recharging time of an energy harvesting receiver node. RF energy harvesting has challenges due to the wireless propagation environment and conversion efficiency. On the propagation side, the different channel models between source and harvesting node should be taken into account in order to obtain realistic results. The main goal of this paper is to propose statistical models for battery recharging time for the Nakagami-m and the generalized-K fading channels. We also include the effects of lognormal shadowing. We derive the associated closed form probability density function, cumulative distribution function, moment generation function, mean and variance expressions for battery recharging time. The simulations are used to verify the theoretical results.
Keywords :
energy harvesting; statistical analysis; RF energy harvesting systems; RF signal; battery recharging time; conversion efficiency; cumulative distribution function; energy harvesting receiver node; generalized-K fading channels; generation function; lognormal shadowing; probability density function; radio frequency signal; statistical models; variance expressions; wireless propagation environment; Batteries; Channel models; Energy harvesting; Fading; Radio frequency; Shadow mapping; Wireless communication; Energy harvesting; Nakagami-m channel; RF power; battery recharging time; generalized-K channel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2014 IEEE
Conference_Location :
Istanbul
Type :
conf
DOI :
10.1109/WCNC.2014.6952122
Filename :
6952122
Link To Document :
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