Learning and Reasoning in Cognitive Radio Networks
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PDFItem Type:
Journal ArticleDate:
2013Access:
OpenAccessCitation:
L. Gavrilovska, V. Atanasovski, I. Macaluso, and L. A. DaSilva, Learning and Reasoning in Cognitive Radio Networks, IEEE Communication Surveys and Tutorials, 15, 4, 2013, 1761 - 1777Download Item:
paper cog radio.pdf (Published (author's copy) - Peer Reviewed) 800.8Kb
Abstract:
Cognitive radio networks challenge the traditional wireless networking paradigm by introducing concepts firmly stemmed into the Artificial Intelligence (AI) field, i.e., learning and reasoning. This fosters optimal resource usage and management allowing a plethora of potential applications such as secondary spectrum access, cognitive wireless backbones, cognitive machine-to-machine etc. The majority of overview works in the field of cognitive radio networks deal with the notions of observation and adaptations, which are not a distinguished cognitive radio networking aspect. Therefore, this paper provides insight into the mechanisms for obtaining and inferring knowledge that clearly set apart the cognitive radio networks from other wireless solutions.
Sponsor
Grant Number
Framework Programme 7 COST Action
IC0902
Science Foundation Ireland (SFI)
10/CE/I1853
Author's Homepage:
http://people.tcd.ie/dasilvalhttp://people.tcd.ie/macalusi
Description:
PUBLISHED
Author: DA SILVA, LUIZ; MACALUSO, IRENE
Type of material:
Journal ArticleSeries/Report no:
IEEE Communication Surveys and Tutorials15
4
Availability:
Full text availableKeywords:
Cognitive radio networksSubject (TCD):
TelecommunicationsLicences: