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At present, dynamic spectrum allocation methods in wireless networks can meet the spectrum resource allocation requirements within a certain rang. They are mainly based on the change of the spectrum resources in terms of time and geographical distribution. Relatively speaking, these allocation methods to make efficient use of spectrum resources have better adaptability than traditional ones. This paper focuses on the building of the dynamic spectrum allocation model in wireless networks. Considering the utilization of spectrum resources, base stations satisfaction and combining with the Coordinated Dynamic Spectrum Access modelit proposes a profit-driven dynamic spectrum allocation model and uses the genetic algorithm to get an approximate optimal solution.
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