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Optimizing cooperative cognitive radio networks with opportunistic access
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Zafar, Ammar, Alouini, Mohamed-Slim, Chen, Yunfei and Radaydeh, Redha M. (2012) Optimizing cooperative cognitive radio networks with opportunistic access. Journal of Computer Networks and Communications, Vol.2012 . p. 294581. doi:10.1155/2012/294581
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Official URL: http://dx.doi.org/10.1155/2012/294581
Abstract
Optimal resource allocation for cooperative cognitive radio networks with opportunistic access to the licensed spectrum is studied. Resource allocation is based on minimizing the symbol error rate at the receiver. Both the cases of all-participate relaying and selective relaying are considered. The objective function is derived and the constraints are detailed for both scenarios. It is then shown that the objective functions and the constraints are nonlinear and nonconvex functions of the parameters of interest, that is, source and relay powers, symbol time, and sensing time. Therefore, it is difficult to obtain closed-form solutions for the optimal resource allocation. The optimization problem is then solved using numerical techniques. Numerical results show that the all-participate system provides better performance than its selection counterpart, at the cost of greater resources.
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||
| Divisions: | Faculty of Science > Engineering | ||||
| Library of Congress Subject Headings (LCSH): | Cognitive radio networks -- Mathematical models, Radio resource management (Wireless communications) | ||||
| Journal or Publication Title: | Journal of Computer Networks and Communications | ||||
| Publisher: | Hindawi Publishing Corporation | ||||
| ISSN: | 2090-7141 | ||||
| Official Date: | 2012 | ||||
| Dates: |
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| Date of first compliant deposit: | 22 December 2015 | ||||
| Volume: | Vol.2012 | ||||
| Page Range: | p. 294581 | ||||
| DOI: | 10.1155/2012/294581 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Funder: | King Abdullah University of Science and Technology (KAUST) |
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