Cognitive Radio Engine Design using Adaptive Multi-Objective GA and PSO

Journal

International Journal of Digital Applications and Contemporary Research (IJDACR)

ISSN

2319-4863

Volume / Issue

Vol.5 · Issue 11

Published

June 2017

Access

Open Access

Licence

CC BY-NC-SA 4.0

Salina Mansuri Pratibha Nagaich

The radio frequency spectrum is a scarce natural resource, so it is very important to use the spectrum efficiently. Cognitive radio, which can greatly improve the spectrum utilization, is able to adjust the transmit parameters according to the environment. In this paper, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are proposed to design the cognitive radio engine. In order to improve the performance of the algorithm, adaptive mutation mechanism and the elite strategy is introduced into the proposed algorithm. Moreover, the proposed algorithm is used to design a cognitive radio engine in a multi-carrier system with ten sub-carriers. The simulation results show that the proposed algorithm is feasible and effective

Salina Mansuri, Pratibha Nagaich (2017). Cognitive Radio Engine Design using Adaptive Multi-Objective GA and PSO. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.5, Issue 11. ISSN: 2319-4863.

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