作者: P Munoz , R Barco , Isabel de la Bandera , Matías Toril , Salvador Luna-Ramirez
DOI: 10.1109/VETECS.2011.5956148
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摘要: In Self-Organizing Networks (SON), load balancing has been recognized as an effective means to increase network performance. cellular networks, cell can be achieved by tuning handover parameters, for which a Fuzzy Logic Controller (FLC) usually provides good performance and usability. Operator experience used define the behavior of FLCs. However, such knowledge is not always available hence optimization techniques must applied in controller design. this work, fuzzy $Q$-Learning algorithm proposed find optimal set rules FLC traffic GSM-EDGE Radio Access Network (GERAN). Load performed modifying margins. Simulation results show that optimized significant reduction call blocking.