Research of Frequency Allocation Based on Improved Genetic Algorithm

Li, Bo and Zhai, Yunyi and Sun, Fugang and He, Kun and Guo, Richeng and Wang, Cuican (2020) Research of Frequency Allocation Based on Improved Genetic Algorithm. In: Mobimedia 2020, 27-28 August 2020, Cyberspace.

[thumbnail of eai.27-8-2020.2294697.pdf]
eai.27-8-2020.2294697.pdf - Published Version

Download (387kB) | Preview


With the development of science and technology, more and more attention has been paid to wireless spectrum allocation technology. In this paper, we propose a improved genetic algorithm which is suitable for spectrum allocation on open space platforms. It uses the method of sequential allocation and solves the problem of channel multiplexing by a new designed interference model under the situation of tight spectrum resources. The simulation results show that the improved genetic algorithm can effectively reduce the total interference of signal and improve the convergence speed of realloction after the number of devices has changed.

Item Type: Conference or Workshop Item (Paper)
Additional Information: spectrum allocation genetic algorithm sequential allocation interference model convergence speed
Subjects: Q Science > QA Mathematics > QA76 Computer software
Depositing User: EAI Editor I.
Date Deposited: 04 Feb 2021 14:23
Last Modified: 04 Feb 2021 14:23

Actions (login required)

View Item
View Item