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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mokhtar, R. Noordin, N. Ali, B.M. Ramli, A. Abdalla, Y. |
| Copyright Year | 2010 |
| Abstract | This paper proposes a cooperative spectrum sensing algorithm based on distributed fusion strategy and maintained probability of false alarm for cognitive radio. It further introduces a reporting strategy that discusses how cooperative sensing in distributed manner can select among possible candidate nodes in order to reduce bandwidth requirement. We adopted a dynamic distributed architecture for cooperative sensing based on the link quality of the candidate nodes and found condition on the channel quality for cooperation to be beneficial. Using probability of detection, and Bit Error Rate (BER) as performance metrics we evaluated the performance improvement of distributed cooperation over direct cooperation and non-cooperative sensing. We used analytical formulation with possible candidate selection criteria to investigate and maximize the distributed cooperation gain. By employing such distribution and selection technique, the reporting error due to the fading channel is reduced based on number of candidate nodes. Results show that the method effectively improve performance of sensing, it increase the probability of detection up to 0.9 at |
| Starting Page | 176 |
| Ending Page | 181 |
| File Size | 380420 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424480487 |
| DOI | 10.1109/NETAPPS.2010.38 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-22 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fading Protocols Adaptive detection Adaptation model Cooperative sensing Distribution Sensors Mathematical model Cognitive radio Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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