… Handover Margin (HOM), since managing HCP values is a key factor in determining the
efficiency and accuracy of handover … to optimize handover decisions in a self-optimizing manner, …

… model to improve handover performance significantly … handover algorithm inside a simulated
environment and afterwards design a novel HO algorithm that leverages Machine Learning …

… Nonetheless, machine learning techniques require sufficient … on machine learning solutions
to handover parameters opti… existing machine learning approaches for HCP optimization use …

… We propose a learning-based handover method based on … We use reinforcement learning
(RL) to optimize the list of the … optimal handover decision, leveraging machine learning as …

… Reinforcement learning (RL) is an area of machine learning in which the agents ought to …
machine learning paradigms, alongside supervised learning and unsupervised learning. In …

… and handover occurrence clearly shows that our Q-learning technique helps optimize this
… In this work, we proposed a machine learning-based algorithm to accomplish strong drone …

… learning (DRL)-based approach for optimizing handover … advantages of transfer learning
and meta-learning to generalize … The utilization of machine learning (ML)-based methods can …

… of machine learning based protocols have been proposed for solving handover optimization
… networks deep reinforcement learning algorithm to minimize frequent handovers. Sudden …

… Reinforcement Learning (RL) is a machine learning solution where an agent interacts
with its environment and learns the optimal behavior for particular states in the environment [7]. …