… of IoT applications driven by artificial intelligence (AI), the fog … reinforcement learning (DRL)
solution to adaptively learn the … entity with no neighbors to handover tasks when busy, and …

… Ai, “Deep reinforcement learning for handover-aware MPTCP congestion control in space-ground
integrated network of railways,” IEEE Wireless Commun., vol. 28, no. 6, pp. …

… 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 …

… Thanks to the evolved reinforcement learning (RL), upon iteratively … intelligently obtain the
optimal policy in MEC. Furthermore, its evolved versions, such as deep reinforcement learning …

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

… Increasingly intelligent mobile terminals can play a crucial role in the handover process. …
In [46], the authors proposed an offline scheme based on double deep reinforcement learning (…

… 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 …

… Intelligent 5G handover and roaming within the 5G Networks can be provided using ML
standards. Artificial Intelligence for Handover … In this work, we consider two types of handover. …