This paper presents the problem formulation, development, and use of a robust dynamic genetic algorithm (GA) for channel allocation in cognitive radio. This approach offers an efficient way to access available spectrum for both primary and secondary users. The proposed dynamic genetic algorithms based on the new sophisticated crossover and mutation operators ensure the validity of channels and the fast convergence to the best solution in a highly dynamic environment. Compared with existing methods, simulation results demonstrate that our approach algorithm produces satisfactory results with reduced network interference and enhance efficiently the spectrum throughput.
Their suggested algorithm, which is based on the new sophisticated crossover and mutation operators, provides an efficient way for the available spectrum allocation for both primary and secondary users REF .
Cognitive radio spectrum allocation using genetic algorithm
EURASIP Journal on Wireless Communications and Networking
Computer Science