… 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 …

… -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 …

… First, a dynamic Q-learning algorithm is used for making handover decisions with the dynamic
threshold … The use of reinforcement learning algorithm for handover decision can learn the …

… learning-based handover mechanism with a dynamic adjustment of the TTT and hysteresis,
leading to intelligent … the handover is performed based on reinforcement learning. This …

… 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 …

… an intelligent transportation system. However, the existing systems addressed handover
and network selection difficulties, but they did not solve the necessity for frequent handover …

… 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 …

… handovers are avoided, the handover must occur accurately by correctly triggering the
handover decision … Zhang, and MA Imran,“Intelligent handover algorithm for vehicle-to-network …

… In summary, the research of multi-agent reinforcement learning theory in the field of
communication have accumulated relatively richly. But it is still rare in the research of …

… The authors in [9] designed and evaluated intelligent handover prediction models … handover
management related issues. In [11], the authors proposed a Deep Reinforcement Learning (…