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Cognitive Radio Parameters Optimization Using Bio-Inspired Algorithms (Paperback)
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Cognitive Radio Parameters Optimization Using Bio-Inspired Algorithms (Paperback)
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Cognitive Radio Engine model optimizes wireless transmission
parameters for spectrum management and decision supports, results
analyzed and compared among multi-channel with algorithms based on
Base-10 Genetic Algorithms (GA), Particle Swarm Optimization
(PSO)and hybrid of GA+PSO. Multi-objective fitness functions
established the relationships among the environmental parameters,
transmission parameters, and objectives of QoS performance. Using
theoretically relationships between various different parameters
and the weighted cumulative sum approach, equations for each
objective to be used within Cognitive Radio engines were developed.
The objectives of these multi-objective fitness functions were
controlled by the values of the weights on each defined function. A
robust technique for spectrum mobility of secondary users based on
DNA inspired computing, satisfies the solution to problem given by
S. Haykin paper "Cognitive Radio: Brain-Empowered Wireless
Communications." However, this involve only one transmission
parameter (i.e. received power) and at last, cognitive radio
security threats discussed based on Simulink model.
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