RIS ID
18046
Abstract
In this paper, a methodology is presented for designing an adaptive fuzzy logic controller based on neural networks. The neuro-fuzzy controller is first trained using data from an approximate analytical model of a cellular network then the controller is fine tuned and adapted to the unique cell dwell time and call holding time distributions of a particular cell in the network. Different cell dwell time distributions are considered for training the neuro-fuzzy controller. A neuro-fuzzy method that only relies on a limited amount of measured data for training purposes is also presented.
Publication Details
This paper was originally published as: Raad, R & Raad, I, Neuro-Fuzzy admission control in cellular networks, 10th IEEE Singapore International Conference on Communication Systems 2006 (ICCS 2006), Singapore, 30 October-2 November 2006, 1-7. Copyright IEEE 2006.