Enhanced estimation of configuration capabilities in cognitive radio

Adamopoulou, E; Demestichas, K; Theologou, M

dc.contributor.author	Adamopoulou, E	en
dc.contributor.author	Demestichas, K	en
dc.contributor.author	Theologou, M	en
dc.date.accessioned	2014-03-01T01:28:16Z
dc.date.available	2014-03-01T01:28:16Z
dc.date.issued	2008	en
dc.identifier.issn	0163-6804	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18787
dc.subject	Cognitive Radio	en
dc.subject	Machine Learning	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Telecommunications	en
dc.subject.other	Frequency bands	en
dc.subject.other	Radio systems	en
dc.subject.other	Radio transmission	en
dc.subject.other	Signal interference	en
dc.subject.other	Wireless telecommunication systems	en
dc.subject.other	Cognitive radio system	en
dc.subject.other	Interference sensing	en
dc.subject.other	Transmission capacity	en
dc.subject.other	Radio communication	en
dc.title	Enhanced estimation of configuration capabilities in cognitive radio	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/MCOM.2008.4481341	en
heal.identifier.secondary	http://dx.doi.org/10.1109/MCOM.2008.4481341	en
heal.language	English	en
heal.publicationDate	2008	en
heal.abstract	Cognitive radio is a highly promising answer to the complexity and heterogeneity characterizing the beyond 3G wireless scenario. In this context, this article advances from the field of interference sensing to the fields of (basic) reasoning and robust reasoning. Interference sensing is concerned with the acquisition of interference related measurements for frequency bands of interest. The article describes how a cognitive radio system can reason on these measurements to obtain estimations for the capabilities of alternate configurations, especially in terms of achievable transmission capacity and coverage. Subsequently, it focuses on robust reasoning, namely, on enhancing these estimations by employing machine learning, which constitutes an important aspect of cognitive radio. Several relevant solutions are sketched and explained, with a view to providing a complete picture. © 2008 IEEE.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Communications Magazine	en
dc.identifier.doi	10.1109/MCOM.2008.4481341	en
dc.identifier.isi	ISI:000255083200008	en
dc.identifier.volume	46	en
dc.identifier.issue	4	en
dc.identifier.spage	56	en
dc.identifier.epage	63	en