Title :
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
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;
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
DOI :
10.1109/ccnc08.2007.228
