Architecture and Performance of an Island Genetic Algorithm-Based Cognitive Network

Author

Friend, D.H. ; EINainay, M.Y. ; Yongsheng Shi ; MacKenzie, A.B.

Author_Institution

Virginia Tech, Blacksburg

fYear

2008

fDate

10-12 Jan. 2008

Firstpage

993

Lastpage

997

Abstract

This paper describes an architecture for a node in a cognitive network that employs distributed learning and reasoning. We present the architecture and describe a method of distributed reasoning using an island genetic algorithm. We then formulate a channel allocation problem that is unique to the use of cognitive radio networks for dynamic spectrum access. We provide simulation results for the island genetic algorithm as applied to our channel allocation problem.

Keywords

channel allocation; cognitive radio; cognitive systems; genetic algorithms; learning (artificial intelligence); telecommunication computing; channel allocation problem; cognitive radio networks; distributed learning; distributed reasoning; dynamic spectrum access; island genetic algorithm-based cognitive network; Ad hoc networks; Cellular networks; Channel allocation; Cognitive radio; Computational modeling; Computer architecture; Computer networks; Genetic algorithms; Interference constraints; Land mobile radio cellular systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Communications and Networking Conference, 2008. CCNC 2008. 5th IEEE

Conference_Location

Las Vegas, NV

Print_ISBN

978-1-4244-1456-7

Electronic_ISBN

978-1-4244-1457-4

Type

conf

DOI

10.1109/ccnc08.2007.228

Filename

4446526