naa a22 4500 510798713 CHVBK 20180411083346.0 cr unu---uuuuu 180411e20131001xx s 000 0 eng 10.1007/s11277-013-1140-x doi (NATIONALLICENCE)springer-10.1007/s11277-013-1140-x Spectrum Sensing for Cognitive Radio Using Binary Particle Swarm Optimization [Elektronische Daten] [Mohamed Taha, Dia AbualNadi] Spectrum sensing techniques in cognitive radio are the most important issue to exploit the spectrum efficiently. Several techniques have been proposed recently to estimate the dimension of the received signal from which the vacant frequencies can be determined and made available to the secondary users. These techniques have difficulties in low signal to noise ratio and limited sensing interval cases. It is known that the Maximum Likelihood Estimation (MLE) has an outstanding performance in most practical scenarios. In this paper, we present a Maximum Likelihood Estimate (MLE) to detect the number of vacant channels in the spectrum. The resulting MLE estimate posses several minima and maxima, therefore it needs exhaustive search to be determined accurately. To solve the problem, an evolutionary algorithm called Binary Particle Swarm Optimization (BPSO) is proposed. Simulation results have shown significant improvement of the MLE-BPSO estimate over the conventional techniques by 3-5dB. Springer Science+Business Media New York, 2013 Cognitive radio nationallicence Spectrum sensing nationallicence Maximum likelihood estimation nationallicence Binary particle swarm optimization nationallicence Taha Mohamed Department of Communication Engineering, Princess Sumaya University for Technology, Amman, Jordan aut AbualNadi Dia Department of Electrical Engineering, University of Jordan, Amman, Jordan aut Wireless Personal Communications Springer US; http://www.springer-ny.com 72/4(2013-10-01), 2143-2153 0929-6212 72:4<2143 2013 72 11277 https://doi.org/10.1007/s11277-013-1140-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-013-1140-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Taha Mohamed Department of Communication Engineering, Princess Sumaya University for Technology, Amman, Jordan aut NATIONALLICENCE 700 1- AbualNadi Dia Department of Electrical Engineering, University of Jordan, Amman, Jordan aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 72/4(2013-10-01), 2143-2153 0929-6212 72:4<2143 2013 72 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer