… a handover adaptive optimization method with strong backward compatibility. This paper
regards reinforcement learning … This paper also utilizes an Artificial Intelligence (AI) method to …

… a handover approach based on reinforcement learning in [6]. The method services a centralized
reinforcement learning … towards govern an optimal handover selection to optimize long-…

… ) selection method for proactive decision handover (HO) in … a solution based on Reinforcement
Learning (RL) framework. … The numerical results show that the intelligent, learned agent …

… 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 …

… handover method adopting a reinforcement learning (RL) technique, ie, upper confidence
bound (UCB), to reduce handover … approach to make intelligent handover decisions. The main …

… Instead of adopting deep reinforcement learning structures (… on the road to speed up the
learning process. To that end, we … can learn and minimize the number of handovers when the …

… rate of call handover and specifically reserves some resources for important service
requests. … Artificial intelligence (AI) technology can intelligently manage and control the vehicle …

… between handover paths and learns the user flow among cells by using the handover and
load … With breakthroughs in artificial intelligence, reinforcement learning techniques have also …

… (UDN) may cause ping-pong handovers (HOs), accompanied by … In this paper, we introduce
an SDN-based intelligent … done on HO optimization via reinforcement learning (RL) [13]. In […

… a reinforcement learning-based approach is proposed to implement optimal vertical handover
… Numerical results demonstrate considerable improvement in overall latency and handover …