Optimal Bandwidth Reservation in Multiservice Mobile Cellular Networks with Movement Prediction

We study the impact of incorporating handoff prediction information in the session admission control process in mobile cellular networks. We evaluate the performance of optimal policies obtained with and without the predictive information, while taking into account possible prediction errors. Two different approaches to compute the optimal admission policy were studied: dynamic programming and reinforcement learning. Numerical results show significant performance gains when the predictive information is used in the admission process. key words: cellular mobile networks, multiservice, optimization, admission control with prediction