… Reinforcement Learning-Based Handover In this section, we introduce the Reinforcement
Learningbased Handover (RLHO) algorithm, which is a multi-criteria HO algorithm that takes …

… even be a solution to reduce handovers in mobile networks since 5G … Learning (ML) techniques
to create an intelligent handover … Machine learning has become a significant intelligence …

… to investigate the possibility to predict handover events and understand the value of …
Learning approach that takes standard Radio Access Network measurements to predict handover …

… a reinforcement learning handoff policy to reduce the number of handoffs in heterogeneous
networks. However, the long-term effect of handovers … number of the handovers and ensure …

… on Reinforcement Learning Reinforcement Learning (RL) is a field in machine learning
that … framework more agile, we designed an intelligent learning architecture for the SDN-enabled …

… -learning as a model-free reinforcement learning algorithm since we need to learn a policy.
… This research has been partially supported by the CelticNext Artificial Intelligence for Green …

… XGBoost-based predictive handover technique for next … period; thus, the intelligent technique
activates faster with improved … RL (reinforcement learning) is a fluky methodology, and the …

… used handover algorithm and an Reinforcement Learning (RL)-based handover algorithm,
… Hence, an intelligent approach is required to decide if a handover should be triggered or not…

… This article proposes an intelligent scheme as AHP with ELECTRE and DR learning to
automate the transfer procedure for the telecommunications network, which mitigate the loss and …

… handover and vertical handover? How do we improve the performance and efficiency of
deep reinforcement learning-based handover … The intelligent handover decision method is …