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Abstract
In LTE networks, choosing the handover parameters is critical due to the two con - tradictory handover problems: radio link failures and ping - pongs. In this thesis, the users in the network are categorized according to their speed and data traf - {uFB01}c, where each category of users is assigned di{uFB00}erent handover parameters to enhance its experience. An optimization algorithm is developed and then fuzzy Q- learning optimization technique is used to optimally choose the handover pa - rameters for the di{uFB00}erent users. Consequently, the optimum handover parameters can be reached automatically. Simulations show that the proposed techniques can optimize the handover parameters for each category of users by minimizing the e{uFB00}ect of the handover problems in this category. Also, simulations show that fuzzy Q- learning has the minimum handover problems compared to other techniques in the literature. Moreover, it has the optimum results even when the number of users in the network changes and it is not a{uFB00}ected by the dynamic variations of the users{u2019} speeds