NDLI: A Graphical Framework for Spectrum Modeling and Decision Making in Cognitive Radio Networks

Content Provider	IEEE Xplore Digital Library
Author	Husheng Li Qiu, R.C.
Copyright Year	2010
Abstract	There are many key problems of decision making related to spectrum occupancies in cognitive radio networks. It is known that there exist correlations of spectrum occupancies in time, space and frequency, which facilitates the decision making problems. A uniform framework, utilizing graphical models and tools, is proposed to integrate the spectrum correlations and decision making problems. Bayesian networks are used to model the probabilistic dependencies of spectrum occupancies. The statistical inference over the Bayesian network is carried out for spectrum sensing. Influence diagrams are used for cross-layer decision makings by integrating the inference result of the Bayesian network model of spectrum and the QoS requirement from upper layers. A simulated scenario of primary user network is used to generate the spectrum activities, based on which the proposed graphical framework is demonstrated to improve the performance of cognitive radio networks.
Starting Page	1
Ending Page	6
File Size	178926
Page Count	6
File Format	PDF
ISBN	9781424456369
ISSN	1930529X
e-ISBN	9781424456383
e-ISBN	9781424456376
DOI	10.1109/GLOCOM.2010.5683361
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bayesian methods Peer to peer computing Sensors Correlation Cognitive radio Decision making Markov processes
Content Type	Text
Resource Type	Article

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