Optimization of Handover Problem Using Q-learning for LTE Network

Abstract

In this work, Q-learning technique on level of optimization is used to improve the performance of handover parameters such as handover margin (HOM) and time to trigger (TTT) and evaluated in terms of total system delay, average number of handover and system throughput in purpose to provide long term evolution (LTE) technology seamless and fast handover from one cell to another, knowing that optimization is based on Q-learning technique which achieves minimum average number of handover per user and also have maximum throughput than the literature work of optimization using fuzzy logic optimization.