… 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 (…

… Reinforcement learning based predictive handover for pedestrian-aware mmwave networks
[C]//IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), …

… In this paper, a deep reinforcement learning (DRL) based intelligent DAPS (I-DAPS) HO
scheme is proposed to prevent sudden RLFs while providing a high data rate consistently. In …

… intelligent and flexible solutions. In particular, reinforcement learning (RL) has the ability to
learn … Additionally, deep learning techniques utilize artificial neural networks (ANNs) capable …

… an intelligent handover triggering mechanism for UE based on Q-learning frameworks and
… Afterward, the Q-learning framework learns the optimal handover triggering policy from the …

… In the following, we propose a solution based on multi-agent reinforcement learning to … a
framework to manage handover events based on multi-agent deep reinforcement learning. We …

… In this paper, we propose a Deep Reinforcement Learning (DRL)-based UAV handover
decision (UHD) scheme that overcomes the limitations in the aforementioned studies. A UHD …

… Abstract—In this paper, we study the handover (HO) and power allocation problem in a two-…
each UE, we develop a multi-agent reinforcement learning (MARL) algorithm based on the …

… using reinforcement learning techniques. First, we discussed existing surveys then we are
focused on handover (… technology to help the communication system more intelligently. Deep …

… reinforcement learning, specifically deep Q-network. The proposed scheme enables the
network to learn … “Reducing handover delays for seamless multimedia service in IEEE 802.11 …