… Handovers (HOs) have been envisioned to be more challenging in 5G networks due to the
… In this paper, we propose an offline scheme based on double deep reinforcement learning (…

… handover decision scheme deploying Deep Reinforcement Learning (DRL) to prevent
unnecessary handovers … for the online learning of UAV handover decisions. The proposed …

… We assume that the handover decision and the subsequent handover execution can only …
why a reinforcement learning framework can be useful for a handover decision problem. A …

… for learning the handover decision skill. This paper exploits such an intelligent handover
decision mechanism in a handover … model proposed under Media Independent Handover (MIH) …

… Considering the decisions of UEs are interactive, we model the problem in the multiple UEs
system as a fully cooperative multi-agent task. As mentioned in section II, this problem can …

… This paper presents a predictive handover decision-making in mmWave networks where
information of the location and velocity of a pedestrian is available. We design a …

… handover cost for learning that is different from handover cost for data transmission. We also
propose a learning handover … network can decide about handover decisions based on the …

… by designing a reinforcement learning (RL) framework that uses a Q-learning algorithm to
max… called RHando - Reinforced Handover - that optimizes HO decisions in order to maximize …

… The advantage of offloading task to other BS and handover decisions are to reduce the
computation burden for the BSs, but they require more overhead in terms of coordination …

… (BS) in the process, commonly known as Handover (HO). HO events become frequent for …
reinforcement learning (RL) algorithm that autonomously and smartly optimizes HO decisions …