The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Bookmark and Share
Parameters Optimization of Cognitive Network Based on ArtificiaI Physics MuIti-Objective AIgorithm
Pages: 1526-1530
Year: Issue:  8
Journal: Acta Electronica Sinica

Keyword:  artificial physicsmulti-objective optimizationcognitive engineparameters adjustments;
Abstract: To solve the engine parameter adjustment problem of cognitive radio networks,an artificial physics multi-objective optimization algorithm was proposed.According to its binary encoded features of cognitive parameters,Hamming distance based in-dividual ranking method was designed and particle updated equation was improved,and finally the Pareto optimal set were achieved. Simulation results show that under the multi-carrier environment,the proposed algorithm can adjust transmission power and modula-tion mode according to the changing of channel and cognitive user demands.So it meets the demands for parameters optimization.
Related Articles
No related articles found