From sensing to predictions and database technique: a review of TV white space information acquisition in cognitive radio networks
Strategies to acquire white space information is the single most significant functionality in cognitive radio networks (CRNs) and as such, it has gone some evolution to enhance information accuracy. The evolution trends are spectrum sensing, prediction algorithm and recently, geo-location database t...
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my.upm.eprints.619232019-02-27T07:28:31Z http://psasir.upm.edu.my/id/eprint/61923/ From sensing to predictions and database technique: a review of TV white space information acquisition in cognitive radio networks Anabi, Hilary K. Nordin, Rosdiadee Abdulghafoor, Omar B. Sali, Aduwati Mohamedou, Ahmed Almqdshi, Abdulmajid Abdullah, Nor Fadzillah Strategies to acquire white space information is the single most significant functionality in cognitive radio networks (CRNs) and as such, it has gone some evolution to enhance information accuracy. The evolution trends are spectrum sensing, prediction algorithm and recently, geo-location database technique. Previously, spectrum sensing was the main technique for detecting the presence/absence of a primary user (PU) signal in a given radio frequency (RF) spectrum. However, this expectation could not materialized as a result of numerous technical challenges ranging from hardware imperfections to RF signal impairments. To convey the evolutionary trends in the development of white space information, we present a survey of the contemporary advancements in PU detection with emphasis on the practical deployment of CRNs i.e. Television white space (TVWS) networks. It is found that geo-location database is the most reliable technique to acquire TVWS information although, it is financially driven. Finally, using financially driven database model, this study compared the data-rate and spectral efficiency of FCC and Ofcom TV channelization. It was discovered that Ofcom TV channelization outperforms FCC TV channelization as a result of having higher spectrum bandwidth. We proposed the adoption of an all-inclusive TVWS information acquisition model as the future research direction for TVWS information acquisition techniques. Springer 2017-10 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/61923/1/From%20sensing%20to%20predictions%20and%20database%20technique.pdf Anabi, Hilary K. and Nordin, Rosdiadee and Abdulghafoor, Omar B. and Sali, Aduwati and Mohamedou, Ahmed and Almqdshi, Abdulmajid and Abdullah, Nor Fadzillah (2017) From sensing to predictions and database technique: a review of TV white space information acquisition in cognitive radio networks. Wireless Personal Communications, 96 (4). 6473 - 6502. ISSN 0929-6212; ESSN: 1572-834X https://link.springer.com/article/10.1007/s11277-017-4487-6 10.1007/s11277-017-4487-6 |
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Strategies to acquire white space information is the single most significant functionality in cognitive radio networks (CRNs) and as such, it has gone some evolution to enhance information accuracy. The evolution trends are spectrum sensing, prediction algorithm and recently, geo-location database technique. Previously, spectrum sensing was the main technique for detecting the presence/absence of a primary user (PU) signal in a given radio frequency (RF) spectrum. However, this expectation could not materialized as a result of numerous technical challenges ranging from hardware imperfections to RF signal impairments. To convey the evolutionary trends in the development of white space information, we present a survey of the contemporary advancements in PU detection with emphasis on the practical deployment of CRNs i.e. Television white space (TVWS) networks. It is found that geo-location database is the most reliable technique to acquire TVWS information although, it is financially driven. Finally, using financially driven database model, this study compared the data-rate and spectral efficiency of FCC and Ofcom TV channelization. It was discovered that Ofcom TV channelization outperforms FCC TV channelization as a result of having higher spectrum bandwidth. We proposed the adoption of an all-inclusive TVWS information acquisition model as the future research direction for TVWS information acquisition techniques. |
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Article |
author |
Anabi, Hilary K. Nordin, Rosdiadee Abdulghafoor, Omar B. Sali, Aduwati Mohamedou, Ahmed Almqdshi, Abdulmajid Abdullah, Nor Fadzillah |
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Anabi, Hilary K. Nordin, Rosdiadee Abdulghafoor, Omar B. Sali, Aduwati Mohamedou, Ahmed Almqdshi, Abdulmajid Abdullah, Nor Fadzillah From sensing to predictions and database technique: a review of TV white space information acquisition in cognitive radio networks |
author_facet |
Anabi, Hilary K. Nordin, Rosdiadee Abdulghafoor, Omar B. Sali, Aduwati Mohamedou, Ahmed Almqdshi, Abdulmajid Abdullah, Nor Fadzillah |
author_sort |
Anabi, Hilary K. |
title |
From sensing to predictions and database technique: a review of TV white space information acquisition in cognitive radio networks |
title_short |
From sensing to predictions and database technique: a review of TV white space information acquisition in cognitive radio networks |
title_full |
From sensing to predictions and database technique: a review of TV white space information acquisition in cognitive radio networks |
title_fullStr |
From sensing to predictions and database technique: a review of TV white space information acquisition in cognitive radio networks |
title_full_unstemmed |
From sensing to predictions and database technique: a review of TV white space information acquisition in cognitive radio networks |
title_sort |
from sensing to predictions and database technique: a review of tv white space information acquisition in cognitive radio networks |
publisher |
Springer |
publishDate |
2017 |
url |
http://psasir.upm.edu.my/id/eprint/61923/1/From%20sensing%20to%20predictions%20and%20database%20technique.pdf http://psasir.upm.edu.my/id/eprint/61923/ https://link.springer.com/article/10.1007/s11277-017-4487-6 |
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