Analysis of energy harvesting for green cognitive radio networks

Name: Analysis of energy harvesting for green cognitive radio networks
Author: Ercan, Ali Özer, Sunay, Mehmet Oğuz, Pollin, S.

İsim	Analysis of energy harvesting for green cognitive radio networks
Yazar	Ercan, Ali Özer, Sunay, Mehmet Oğuz, Pollin, S.
Basım Tarihi:	2014
Basım Yeri	- IEEE
Konu	Markov processes, Cognitive radio, Delays, Energy harvesting, Signal processing, Telecommunication traffic
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2-s2.0-84912138553
Kayıt Numarası	60541412-41e2-40e9-9435-dae14b11009e
Lokasyon	Electrical & Electronics Engineering, Computer Science
Tarih	2014
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	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.
DOI	10.1109/CCS.2014.6933793

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Analysis of energy harvesting for green cognitive radio networks

Yazar Ercan, Ali Özer, Sunay, Mehmet Oğuz, Pollin, S.

Basım Tarihi 2014

Basım Yeri - IEEE

Konu Markov processes, Cognitive radio, Delays, Energy harvesting, Signal processing, Telecommunication traffic

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2-s2.0-84912138553

Kayıt Numarası 60541412-41e2-40e9-9435-dae14b11009e

Lokasyon Electrical & Electronics Engineering, Computer Science

Tarih 2014

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin 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.

DOI 10.1109/CCS.2014.6933793