Dynamic Spectrum Sensing Through Accelerated Particle Swarm Optimization
Optimization and Control
2018-03-13 v6 Information Theory
math.IT
Applications
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.
Keywords
Cite
@article{arxiv.1510.03840,
title = {Dynamic Spectrum Sensing Through Accelerated Particle Swarm Optimization},
author = {Alexandros E. Paschos and Vasileios M. Kapinas and Georgia D. Ntouni and Leontios J. Hadjileontiadis and George K. Karagiannidis},
journal= {arXiv preprint arXiv:1510.03840},
year = {2018}
}
Comments
4 pages, 3 figures, 2 algorithms, 1 table