Chen, Yunfei and Oh, Hee-Seok (2016) A survey of measurement-based spectrum occupancy modeling for cognitive radios. IEEE Communications Surveys & Tutorials, 18 (1). pp. 848-859. doi:10.1109/COMST.2014.2364316

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Abstract

Spectrum occupancy models are very useful in cognitive radio designs. They can be used to increase spectrum sensing accuracy for more reliable operation, to remove spectrum sensing for higher resource usage efficiency, or to select channels for better opportunistic access, among other applications. In this survey, various spectrum occupancy models from measurement campaigns taken around the world are investigated. These models extract different statistical properties of the spectrum occupancy from the measured data. In addition to these models, spectrum occupancy prediction is also discussed, where autoregressive and/or moving-average models are used to predict the channel status at future time instants. After comparing these different methods and models, several challenges are also summarized based on this survey.

Item Type:	Journal Article
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Science > Engineering
Library of Congress Subject Headings (LCSH):	Cognitive radio networks
Journal or Publication Title:	IEEE Communications Surveys & Tutorials
Publisher:	IEEE
ISSN:	1553-877X
Official Date:	27 January 2016
Dates:	Date Event 27 January 2016 Published
Volume:	18
Number:	1
Number of Pages:	12
Page Range:	pp. 848-859
DOI:	10.1109/COMST.2014.2364316
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access

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