Dynamic Spectrum Sensing Through Accelerated Particle Swarm Optimization
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Publication:6266400
arXiv1510.03840MaRDI QIDQ6266400
Author name not available (Why is that?)
Publication date: 19 September 2015
Abstract: In this paper, a novel optimization algorithm, called the acceleration-aided particle swarm optimization (AAPSO), is proposed for reliable dynamic spectrum sensing in cognitive radio networks. In A-APSO, the acceleration variable of the particles in the swarm is also considered in the search space of the optimization problem. We show that the proposed A-APSO based spectrum sensing technique is more efficient in terms of performance than the corresponding one based on the standard particle swarm optimization algorithm.
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