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A new, robust integrated priority-based cell attenuation model for dynamic cell sizing is proposed and simulated using real mobile traffic data. The proposed model is an integration of two main components; the modified Virtual Community - Parallel Genetic Algorithm (VC-PGA) cell priority selection module and the Evolving Fuzzy Neural Network (EFuNN) mobile traffic prediction module. The VC-PGA module controls the number of cell attenuations by ordering the priority for the attenuation of all cells based on the level of mobile level of mobile traffic within each cell. The EFuNN module predicts the traffic volume of a particular cell by extracting and inserting meaningful rules through incremental, supervised real-time learning.
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