… 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 …

… 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 …

… Considering that it’s hard to perceive accurate and complete CSI of HSR environment, we
developed a novel deep reinforcement learning framework, termed as LSTM-DDPG, which …

… Conclusion In this paper, we proposed a deep reinforcement learning-based approach
for joint server selection, cooperative offloading and handover in multi-access edge wireless …

… 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 …

… Abstract—In this paper, we apply reconfigurable intelligent surface (RIS) technique to aid …
then propose an efficient algorithm based on deep reinforcement learning (DRL), namely deep …

… 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 …

… 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 …

… In this paper, we proposed a new method for managing the handover in heterogeneous
5G mobile networks based on artificial intelligence technologies by using recurrent neural …

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