… decides whether to transfer the UE’s connection to macrocell or change UE’s handover
parameters. The authors of [8] develop an intelligent handover optimisation scheme based on Q-…

… In this paper, we propose a multi-agent reinforcement learning approach for user association,
which can reduce signaling overhead by using only local information at each user and …

… In addition, we also briefly discuss how intelligent HO schemes can help in emergency …
with similar mobility pattern then deep reinforcement learning was implemented to determine 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…

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

… This leads to an increased number of handovers of user … for handover optimization by
using proximal policy optimization in mobile communications to learn an adaptive handover …

… -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 …

… 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 …

… or even with the help of reinforcement learning methods [12], [13]. An … , “Intelligent technique
for seamless vertical handover in … , “Intelligent technique for seamless vertical handover in …

… a new paradigm for Intelligent Transportation Systems (ITS) in … suffering from more frequent
handovers and connection drops… stability through efficient handover decision-making. First, a …