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A novel multiple objective fitness function for DSA transmission parameter optimization
- Issue Date
- 2015
- Publisher
- Sharif University of Technology
- Keywords
- Cognitive engine; Dynamic spectrum access; Genetic algorithm; Objective fitness function; Transmission parameter optimization
- Citation
- Scientia Iranica, v.22, no.4, pp.1567 - 1575
- Indexed
- SCIE
SCOPUS
- Journal Title
- Scientia Iranica
- Volume
- 22
- Number
- 4
- Start Page
- 1567
- End Page
- 1575
- ISSN
- 1026-3098
- Abstract
- A novel multiple Objective Fitness Function (OFF) is proposed for transmission parameter optimization in dynamic spectrum access. The proposed scheme consists of two phases: In the first phase, four OFFs are individually designed, where the spectrum band index is additionally considered unlike the conventional OFFs. In the second phase, then, the individual OFFs are combined to form a multiple OFF, where the individual OFFs may be differently stressed depending on the transmission scenario of interest. In simulation results, finally, the proposed multiple OFF is found to provide the optimal parameter set for transmission under various types of scenarios. © 2015 Sharif University of Technology. All rights reserved.
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