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REVIEW OF METAHEURISTIC ALGORITHM FOR COGNITIVE RADIO
Sameer Suresh Nanivadekar, Dr. Uttam D. Kolekar

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 4, Issue-8, pp.43-46, Aug 2017
DPI :-> 16.10046.IJCESR.2017.V4I8.4346.1818



Abstract
Allocation of channel resources in a cognitive radio system for accomplishing minimalized transmission energy with an improved transmission rate is a challenging research area. This paper provides a review of different types of resource allocation algorithm established on the meta-heuristic search belief. The algorithms discussed in the paper are established through replicating the scouting behavior of the animals. Five renowned optimization algorithms, namely, conventional GSO, Firefly Algorithm, Particle Swarm Optimization, Artificial Bee Colony algorithm, and Genetic Algorithm are explained.

Key-Words / Index Term
Keywords: Combinatorial optimization, Diversification, Genetic Algorithms, Intensification, Meta-heuristics

How to cite this article
Sameer Suresh Nanivadekar, Dr. Uttam D. Kolekar , “REVIEW OF METAHEURISTIC ALGORITHM FOR COGNITIVE RADIO”, International Journal of Current Engineering And Scientific Research ( IJCESR), 4, Issue-8, pp.43-46, Aug 2017. DPI:16.10046.IJCESR.V4.I8.1818