Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Cognitive engine implementation for wireless multicarrier transceivers
Wireless Communications & Mobile Computing - Cognitive Radio, Software Defined Radio And Adaptive Wireless Systems
Population adaptation for genetic algorithm-based cognitive radios
Mobile Networks and Applications
Ant colony optimization algorithm with mutation mechanism and its applications
Expert Systems with Applications: An International Journal
A population declining mutated ant colony optimization multiuser detector for MC-CDMA
IEEE Communications Letters
Population Declining Ant Colony Optimization Multiuser Detection in Asynchronous CDMA Communications
Wireless Personal Communications: An International Journal
IEEE Computational Intelligence Magazine
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Optimization of Cognitive Radio System Using Simulated Annealing
Wireless Personal Communications: An International Journal
Reconfiguration Decision Making Based on Ant Colony Optimization in Cognitive Radio Network
Wireless Personal Communications: An International Journal
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In this letter, a mutated ant colony optimization (MACO) cognitive radio engine is proposed, and it is the first time to apply ACO algorithm to this problem. The cognitive radio is a promising technology nowadays to alleviate the apparent scarcity of available radio spectrum, and the cognitive radio engine determines the optimal radio transmission parameters for the system. The cognitive engine problem is usually solved by genetic algorithm (GA), however, the GA converges slowly and its performance can still be improved. Hence, MACO algorithm with excellent performance is applied to the cognitive engine in this letter. Simulation results show that the fitness scores obtained by the MACO engine are much better than the ACO and GA engines in different scenarios.