Published 2012
“…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.The EFuNN module is placed in each cell and the output, the predicted
mobile traffic volume of the particular cell, is sent to local and virtual community servers in the VC-PGA
module.The VC-PGA module then assigns priorities for the size attenuation of all cells within the network, based on the predicted
mobile traffic levels from the EFuNN module at each cell.The performance of the proposed module was evaluated on five adjacent cells in Selangor, Malaysia. …”
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