… field of machine learning based handover (HO) decision-making for connected drones in
future networks. The paper reviews a spectrum of machine learning … , optimization of handover …

… We aim to optimize the handover and power allocation to maximize the overall throughput
and reduce the handover frequency in the HetNet system. Considering the decisions of UEs …

… future handover decisions, we can accelerate the handover execution and optimize the
handover … It can be seen from the experimental simulation results that the Elman-based handover …

… learning paradigms in machine learning: supervised learning, unsupervised learning and
reinforcement learning… Saddam, "Self-optimization of handover control parameters for mobility …

… Machine learning (ML) applications to develop smarter handovers are numerous. The authors
… In [5] and [6] fuzzy logic and reinforcement learning is used to for optimize traditional HO …

… handover and roaming within the 5G Networks can be provided using ML standards. Artificial
Intelligence for Handover Optimization … GRU cell, can optimize the handover in 5G cellular …

… The SpecPSO is proposed for optimizing handovers using supervised machine learning
technique for performing dynamic handover by adapting to the environment and make smart …

… HCP plays a crucial role in ensuring smooth handover transitions and minimizing … of
handover control parameters on 5G handover management and propose strategies for optimizing …

… reinforcement learning technique for handover optimization is … [24] present a machine
learning-based handover scheme for … , and user mobility during handover decisions. To enhance …

… of the call and increase the chances of a successful handover. Thus, machine learning (ML)
algorithms can also be used to optimize the handover process by adapting to the specific …