Data processing: artificial intelligence – Machine learning – Genetic algorithm and genetic programming system
Reexamination Certificate
2007-10-30
2007-10-30
Hirl, Joseph P (Department: 2129)
Data processing: artificial intelligence
Machine learning
Genetic algorithm and genetic programming system
C706S012000, C706S014000
Reexamination Certificate
active
10875619
ABSTRACT:
A genetic algorithm (GA) approach is used to adapt a wireless radio to a changing environment. A cognitive radio engine implements three algorithms; a wireless channel genetic algorithm (WCGA), a cognitive system monitor (CSM) and a wireless system genetic algorithm (WSGA). A chaotic search with controllable boundaries allows the cognitive radio engine to seek out and discover unique solutions efficiently. By being able to control the search space by limiting the number of generations, crossover rates, mutation rates, fitness evaluations, etc., the cognitive system can ensure legal and regulatory compliance as well as efficient searches. The versatility of the cognitive process can be applied to any adaptive radio. The cognitive system defines the radio chromosome, where each gene represents a radio parameter such as transmit power, frequency, modulation, etc. The adaptation process of the WSGA is performed on the chromosomes to develop new values for each gene, which is then used to adapt the radio settings.
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Bostian Charles
Cyre Walling R.
Gallagher Timothy M.
Rieser Christian J.
Rondeau Thomas W.
Hirl Joseph P
Virginia Tech Intellectual Properties Inc.
Whitham Curtis Christofferson & Cook, P.C.
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