The Spectrum Allocation Technology Based on Hybrid Particle Swarm Optimization in Cognitive Communication

2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation

Zhang, Wenhe^1 ; Huang, Guoce^2 ; Wang, Guisheng^1 ; Wang, Y.E.^1

Graduate College, Air Force Engineering University, Xi'an

710058, China^1

Information and Navigation College, Air Force Engineering University, Xi'an

710058, China^2

关键词: Cognitive communications;    HF communication;    High frequency communication;    Hybrid Particle Swarm Optimization;    Natural selection;    Particle swarm optimization algorithm;    Spectrum allocation;    Technology-based;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/569/3/032056/pdf
DOI  :  10.1088/1757-899X/569/3/032056

来源: IOP

【 摘 要 】

With the increase of the number of communication users, the high frequency (HF) communication resources are scarce and more precious. Aiming at the problem of frequency allocation in cognitive HF communication, this paper transforms it into the problem of maximizing network revenue, and solves the problem by using particle swarm optimization algorithm based on natural selection (NSPSO), which can get better solution in a short time. The experimental results show that the proposed algorithm is better than the conventional particle swarm optimization (PSO) and genetic algorithm (GA) in the effectiveness and speed.