Open AccessInterference Control of Cognitive Network Based on Swarm Intelligence Algorithm
Author(s) -
Yunbing Chi,
Luyong Zhang
Publication year - 2020
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 - 10.1088/1742-6596/1550/6/062020
Subject(s) - cognitive radio , computer science , swarm intelligence , interference (communication) , wireless network , swarm behaviour , wireless , algorithm , mathematical optimization , particle swarm optimization , artificial intelligence , computer network , telecommunications , mathematics , channel (broadcasting)
This paper proposes a non-cooperative spectrum allocation algorithm based on game theory in a multi-cognitive wireless network scenario. The interference is selected as the basis for establishing the utility function. In order to avoid problems such as excessive calculation of the iterative algorithm and failure to obtain the optimal solution, etc. In this paper, an improved swarm intelligent bat algorithm is proposed. Compared with the original bat algorithm, the improved bat algorithm is richer and more accurate in speed and location update strategies, which improves the diversity of the population. The improved algorithm is applied to the spectrum allocation problem. By rationally allocating spectrum resources, the interference level of the multi-cognitive wireless network system is effectively reduced. It is applicable to dealing with the interference control problem in distributed cognitive radio networks.