Open AccessResearch on spectrum scheduling based on discrete artificial bee colony algorithm
Author(s) -
Ying Xiao,
Dianjun Chen,
Lu Yong Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1856/1/012059
Subject(s) - artificial bee colony algorithm , computer science , chaotic , mathematical optimization , schedule , differential evolution , scheduling (production processes) , algorithm , real time computing , artificial intelligence , mathematics , operating system
With the increasing shortage of spectrum resources on the earth, how to ensure the high-quality transmission of satellite wireless signals to the ground has become one of the most important problems in the current satellite ground communication system. In order to schedule spectrum resources more reasonably and efficiently, we propose a spectrum resource scheduling model based on adaptive chaotic distributed differential artificial bee colony algorithm. The algorithm uses chaotic distribution to generate initial solution. In the search phase, differential evolution strategy and artificial bee colony algorithm are used to work in parallel to find the local optimal solution. The selection operator is used to calculate the probability of selecting new bee sources, which improves the reliability and convergence speed of the algorithm. Finally, the results show that in single-channel and multi-channel scenes, the algorithm can help to improve the fairness and throughput.