TY - JOUR ID - 3734 TI - A Novel Multiple Objective Fitness Function for DSA Transmission Parameter Optimization JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Chae, Keunhong AU - Lee, Seong Ro AU - Liu, Huaping AU - Yoon, Seokho AD - College of Information and Communication Engineering, Sungkyunkwan University 300 Cheoncheon-dong, Jangan-gu, Suwon-si, Gyeonggi-do 440-746, Korea AD - Department of Information and Electronics Engineering, Mokpo National University 1666 Cheonggye-myeon, Muan-gun, Jeollanam-do 534-729, Korea AD - School of Electrical Engineering and Computer Science, Oregon State University Corvallis, Oregon, 97331, USA Y1 - 2015 PY - 2015 VL - 22 IS - 4 SP - 1567 EP - 1575 KW - Dynamic spectrumaccess KW - Cognitive engine KW - Objective fitness function KW - Transmission parameter optimization KW - Genetic Algorithm DO - N2 - A novelmultiple objective fitness function (OFF) is proposed for transmission parameter optimization in dynamic spectrum access. The proposed scheme consists of two phases: Four OFFs are individually designed in the first phase, 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. UR - https://scientiairanica.sharif.edu/article_3734.html L1 - https://scientiairanica.sharif.edu/article_3734_4cd535044948a31a28d72ade05cad67b.pdf ER -