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• W594892912 abstract "In this work we explore the feasibility of applying a novel grouping genetic algorithm (GGA) to the problem of assigning resources to mobile terminals or users in Wideband Code Division Multiple Access (WCDMA) mobile networks. In particular, we propose: (1) A novel cost function (to be minimized) that contains, in addition to the common load factors, other utilization ratios for aggregate capacity, codes, power, and users without service. (2) A novel encoding scheme, and modifications for the crossover and mutation operators, tailored for resource assignment in WCDMA networks. The experimental work points out that our GGA approach exhibits a superior performance than that of the conventional method (which minimizes only the load factors), since all users receive the demanded service along with a minimum use of the assigned resources (aggregate capacity, power, and codes)." @default.
• W594892912 created "2016-06-24" @default.
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• W594892912 date "2015-01-01" @default.
• W594892912 modified "2023-10-18" @default.
• W594892912 title "A Novel Grouping Genetic Algorithm for Assigning Resources to Users in WCDMA Networks" @default.
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• W594892912 doi "https://doi.org/10.1007/978-3-319-16549-3_4" @default.
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