Enhancing channel estimation in cognitive radio systems by means of Bayesian networks

Demestichas, P; Katidiotis, A; Tsagkaris, KA; Adamopoulou, EF; Demestichas, KP

dc.contributor.author	Demestichas, P	en
dc.contributor.author	Katidiotis, A	en
dc.contributor.author	Tsagkaris, KA	en
dc.contributor.author	Adamopoulou, EF	en
dc.contributor.author	Demestichas, KP	en
dc.date.accessioned	2014-03-01T01:30:21Z
dc.date.available	2014-03-01T01:30:21Z
dc.date.issued	2009	en
dc.identifier.issn	0929-6212	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19560
dc.subject	Bayesian networks	en
dc.subject	Channel-State Information (CSI)	en
dc.subject	Cognitive networks	en
dc.subject	Machine learning	en
dc.subject.classification	Telecommunications	en
dc.subject.other	Account calculation	en
dc.subject.other	Bit rates	en
dc.subject.other	Cognitive network	en
dc.subject.other	Cognitive radio	en
dc.subject.other	Machine-learning	en
dc.subject.other	Potential applications	en
dc.subject.other	Channel capacity	en
dc.subject.other	Channel state information	en
dc.subject.other	Cognitive systems	en
dc.subject.other	Communication channels (information theory)	en
dc.subject.other	Distributed parameter networks	en
dc.subject.other	Estimation	en
dc.subject.other	Inference engines	en
dc.subject.other	Intelligent networks	en
dc.subject.other	Learning systems	en
dc.subject.other	Radio	en
dc.subject.other	Radio broadcasting	en
dc.subject.other	Radio systems	en
dc.subject.other	Bayesian networks	en
dc.title	Enhancing channel estimation in cognitive radio systems by means of Bayesian networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s11277-008-9559-1	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s11277-008-9559-1	en
heal.language	English	en
heal.publicationDate	2009	en
heal.abstract	This paper proposes enhancements to the channel(-state) estimation phase of a cognitive radio system. Cognitive radio devices have the ability to dynamically select their operating configurations, based on environment aspects, goals, profiles, preferences etc. The proposed method aims at evaluating the various candidate configurations that a cognitive transmitter may operate in, by associating a capability e.g., achievable bit-rate, with each of these configurations. It takes into account calculations of channel capacity provided by channel-state estimation information (CSI) and the sensed environment, and at the same time increases the certainty about the configuration evaluations by considering past experience and knowledge through the use of Bayesian networks. Results from comprehensive scenarios showthe impact of our method on the behaviour of cognitive radio systems,whereas potential application and future work are identified. © 2008 Springer Science+Business Media, LLC.	en
heal.publisher	SPRINGER	en
heal.journalName	Wireless Personal Communications	en
dc.identifier.doi	10.1007/s11277-008-9559-1	en
dc.identifier.isi	ISI:000263547400008	en
dc.identifier.volume	49	en
dc.identifier.issue	1	en
dc.identifier.spage	87	en
dc.identifier.epage	105	en