DocumentCode :
131156
Title :
Analysis of energy harvesting for green cognitive radio networks
Author :
Ercan, Ali Ozer ; Sunay, M.O. ; Pollin, Sofie
Author_Institution :
Dept. of Electr. & Electron. Eng., Ozyegin Univ., Istanbul, Turkey
fYear :
2014
fDate :
2-4 Sept. 2014
Firstpage :
1
Lastpage :
5
Abstract :
This paper develops a Markov Chain analysis framework for an RF energy harvesting cognitive radio network where the secondary system users are furnished with finite-sized batteries. We consider a network where the only source of energy for the secondary system is the RF signals of the primary system resulting in an inter-play between energy harvesting and transmission for the secondary network. We show that an RF energy harvesting cognitive radio using todays technology is suitable for a delay-tolerant sensor network where the nodes need to transmit sensor output values very sporadically. We observe that the interplay between primary user traffic arrival and departure rates as well as probabilities of missed detection and false alarm for the secondary user detector and available battery size is of importance and that a percentile channel occupation of the primary network on its own is not a sufficient metric.
Keywords :
Markov processes; cognitive radio; delays; energy harvesting; signal processing; telecommunication traffic; Markov Chain analysis framework; RF energy harvesting cognitive radio network; RF signals; delay tolerant sensor network; departure rates; finite sized batteries; green cognitive radio networks; secondary network; traffic arrival; Batteries; Cognitive radio; Energy harvesting; Markov processes; Monte Carlo methods; Radio frequency; Sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Cellular Systems (CCS), 2014 1st International Workshop on
Conference_Location :
Germany
Type :
conf
DOI :
10.1109/CCS.2014.6933793
Filename :
6933793
Link To Document :
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