caa a22 4500 606206752 CHVBK 20210128101013.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s00034-015-0028-2 doi (NATIONALLICENCE)springer-10.1007/s00034-015-0028-2 Efficient Parallel Artificial Bee Colony Algorithm for Cooperative Spectrum Sensing Optimization [Elektronische Daten] [Yongqiang Hei, Wentao Li, Weihong Fu, Xiaohui Li] In this paper, the multiuser linear cooperative spectrum sensing optimization problem in cognitive radio system where the primary user (PU) and cognitive radio (CR) employ multiple antennas is investigated. By optimizing the different weights assigned on the statistic of each CR given a targeted probability of false alarm, the cooperative spectrum sensing optimization focuses on maximizing the probability of detection. Statistical characteristics of parameters in cooperative spectrum sensing for the PU with a single antenna and the CR with multiple antennas (SPMC) system, the PU with multiple antennas and the CR with a single antenna (MPSC) system, both the PU and the CR with multiple antennas (MPMC) system as well as the PU with Alamouti coding system have been investigated. Due to the non-convex characteristic of the cooperative spectrum sensing problem, an efficient parallel artificial bee colony (PABC) method motivated by the intelligent foraging behavior of a honeybee colony is introduced to address the problem without approximations and convexity constraints. Furthermore, classical benchmark functions are presented to validate the searching ability of the proposed algorithm. Simulation results showed that the PABC shows a superior ability when applied in both the typical test functions and the cooperative spectrum sensing scenario. Also, the reliability of spectrum sensing can be significantly promoted with the use of multiple antennas and Alamouti coding. Springer Science+Business Media New York, 2015 Cognitive radio nationallicence Spectrum sensing nationallicence Multiple antennas nationallicence Artificial bee colony nationallicence Hei Yongqiang State Key Laboratory of Integrated Services Networks, Xidian University, 710071, Xi'an, Shaanxi, China aut Li Wentao Laboratory of Antenna and Microwave propagation, Xidian University, 710071, Xi'an, Shaanxi, China aut Fu Weihong State Key Laboratory of Integrated Services Networks, Xidian University, 710071, Xi'an, Shaanxi, China aut Li Xiaohui State Key Laboratory of Integrated Services Networks, Xidian University, 710071, Xi'an, Shaanxi, China aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/11(2015-11-01), 3611-3629 0278-081X 34:11<3611 2015 34 34 https://doi.org/10.1007/s00034-015-0028-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-015-0028-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hei Yongqiang State Key Laboratory of Integrated Services Networks, Xidian University, 710071, Xi'an, Shaanxi, China aut NATIONALLICENCE 700 1- Li Wentao Laboratory of Antenna and Microwave propagation, Xidian University, 710071, Xi'an, Shaanxi, China aut NATIONALLICENCE 700 1- Fu Weihong State Key Laboratory of Integrated Services Networks, Xidian University, 710071, Xi'an, Shaanxi, China aut NATIONALLICENCE 700 1- Li Xiaohui State Key Laboratory of Integrated Services Networks, Xidian University, 710071, Xi'an, Shaanxi, China aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/11(2015-11-01), 3611-3629 0278-081X 34:11<3611 2015 34 34