مشخصات پژوهش

عنوان	Sensor Selection for Cooperative Spectrum Sensing in Multiantenna Sensor Networks Based on Convex Optimization and Genetic Algorithm
نوع پژوهش	مقاله چاپ‌شده
کلیدواژه‌ها	Energy efficiency, multiple antenna sensors, convex optimization, genetic algorithm, spectrum sensing
چکیده	This letter addresses the sensor selection problem for spectrum sensing in cognitive radio networks. Hereby, an energy-efficient cooperative spectrum sensing is proposed, which is based on sensing node selections in multiantenna structures. In this letter, the sensor selection problem is solved utilizing two methods: convex optimization and genetic algorithm. Simulation results indicate that the convex optimization with cooperative multiple antennas sensing improves the performance of a network in comparison with genetic algorithm while suffers from complexity and implementation costs.
پژوهشگران	علی ریحانیان (نفر چهارم)، مریم نجیمی (نفر سوم)، عطاالله ابراهیم زاده (نفر دوم)، سید هانی حجتی (نفر اول)