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| Content Provider | Springer Nature Link |
|---|---|
| Author | Saeedzarandi, Mansoore Azmi, Paeiz |
| Copyright Year | 2012 |
| Abstract | In cognitive radio technology, spectrum sensing enables users to sense the environment and find spectrum holes. Cooperative sensing is a good idea for reliable detection of primary users in shadowed environments. In this study, spatial spectral joint detection with some constraints that keep the interference at the primary user below a suitable level is considered as the optimization problem for collaborative sensing. Convex optimization is able to obtain near-optimal solutions because of the non-convexity nature of the optimization problem. In this paper, we use artificial immune system (based on the clonal selection theory) to obtain the optimal solutions without any reformulations or mathematical costs. Numerical results show that our proposed algorithm outperforms the genetic algorithm used in the previous works. |
| Starting Page | 239 |
| Ending Page | 246 |
| Page Count | 8 |
| File Format | |
| ISSN | 00034347 |
| Journal | Annales Des Télécommunications |
| Volume Number | 68 |
| Issue Number | 3-4 |
| e-ISSN | 19589395 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2012-08-01 |
| Publisher Place | Paris |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Cognitive radio networks Spectrum sensing Spatial spectral joint detection Artificial immune system Clonal selection theory Communications Engineering, Networks Information Systems and Communication Service Signal, Image and Speech Processing Computer Communication Networks Information and Communication, Circuits R & D/Technology Policy |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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