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A survey of measurement-based spectrum occupancy modeling for cognitive radios
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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 ISSN 1553-877X.
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Official URL: http://dx.doi.org/10.1109/COMST.2014.2364316
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 | ||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > 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: |
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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 | ||||
Date of first compliant deposit: | 10 February 2016 | ||||
Date of first compliant Open Access: | 10 February 2016 |
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