Cluster-based adaptive multispectrum sensing and access in cognitive radio networks
Spectrum sensing and access have been widely investigated in cognitive radio network for the secondary users to efficiently utilize and share the spectrum licensed by the primary user. We propose a cluster-based adaptive multispectrum sensing and access strategy, in which the secondary users seeking...
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| Eará dahkkit: | |
| Materiálatiipa: | Journal Article |
| Giella: | English |
| Almmustuhtton: |
2013
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| Liŋkkat: | https://hdl.handle.net/10356/96999 http://hdl.handle.net/10220/11726 |
| _version_ | 1826119699543359488 |
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| author | Zhang, Wenjie Yeo, Chai Kiat |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Zhang, Wenjie Yeo, Chai Kiat |
| author_sort | Zhang, Wenjie |
| collection | NTU |
| description | Spectrum sensing and access have been widely investigated in cognitive radio network for the secondary users to efficiently utilize and share the spectrum licensed by the primary user. We propose a cluster-based adaptive multispectrum sensing and access strategy, in which the secondary users seeking to access the channel can select a set of channels to sense and access with adaptive sensing time. Specifically, the spectrum sensing and access problem is formulated into an optimization problem, which maximizes the utility of the secondary users and ensures sufficient protection of the primary users and the transmitting secondary users from unacceptable interference. Moreover, we explicitly calculate the expected number of channels that are detected to be idle, or being occupied by the primary users, or being occupied by the transmitting secondary users. Spectrum sharing with the primary and transmitting secondary users is accomplished by adapting the transmission power to keep the interference to an acceptable level. Simulation results demonstrate the effectiveness of our proposed sensing and access strategy as well as its advantage over conventional sensing and access methods in terms of improving the achieved throughput and keeping the sensing overhead low. |
| first_indexed | 2024-10-01T05:04:22Z |
| format | Journal Article |
| id | ntu-10356/96999 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:04:22Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/969992020-05-28T07:17:22Z Cluster-based adaptive multispectrum sensing and access in cognitive radio networks Zhang, Wenjie Yeo, Chai Kiat School of Computer Engineering Cognitive Radio Spectrum Sensing And Access Engineering::Computer science and engineering Spectrum sensing and access have been widely investigated in cognitive radio network for the secondary users to efficiently utilize and share the spectrum licensed by the primary user. We propose a cluster-based adaptive multispectrum sensing and access strategy, in which the secondary users seeking to access the channel can select a set of channels to sense and access with adaptive sensing time. Specifically, the spectrum sensing and access problem is formulated into an optimization problem, which maximizes the utility of the secondary users and ensures sufficient protection of the primary users and the transmitting secondary users from unacceptable interference. Moreover, we explicitly calculate the expected number of channels that are detected to be idle, or being occupied by the primary users, or being occupied by the transmitting secondary users. Spectrum sharing with the primary and transmitting secondary users is accomplished by adapting the transmission power to keep the interference to an acceptable level. Simulation results demonstrate the effectiveness of our proposed sensing and access strategy as well as its advantage over conventional sensing and access methods in terms of improving the achieved throughput and keeping the sensing overhead low. Published version 2013-07-17T06:21:39Z 2019-12-06T19:37:46Z 2013-07-17T06:21:39Z 2019-12-06T19:37:46Z 2012 2012 Journal Article Zhang, W., & Yeo, C. K. (2015). Cluster-based adaptive multispectrum sensing and access in cognitive radio networks. Wireless Communications and Mobile Computing. doi:10.1002/wcm.2319 1530-8677 https://hdl.handle.net/10356/96999 http://hdl.handle.net/10220/11726 10.1002/wcm.2319 en Wireless communications and mobile computing © 2012 John Wiley & Sons, Ltd. published by Hindawi Publishing Corporation. This is an open-access article distributed under the terms of the Creative Commons Attribution License. 15 p. application/pdf |
| spellingShingle | Cognitive Radio Spectrum Sensing And Access Engineering::Computer science and engineering Zhang, Wenjie Yeo, Chai Kiat Cluster-based adaptive multispectrum sensing and access in cognitive radio networks |
| title | Cluster-based adaptive multispectrum sensing and access in cognitive radio networks |
| title_full | Cluster-based adaptive multispectrum sensing and access in cognitive radio networks |
| title_fullStr | Cluster-based adaptive multispectrum sensing and access in cognitive radio networks |
| title_full_unstemmed | Cluster-based adaptive multispectrum sensing and access in cognitive radio networks |
| title_short | Cluster-based adaptive multispectrum sensing and access in cognitive radio networks |
| title_sort | cluster based adaptive multispectrum sensing and access in cognitive radio networks |
| topic | Cognitive Radio Spectrum Sensing And Access Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/96999 http://hdl.handle.net/10220/11726 |
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