… Since the handover procedure is different than a traditional handover procedure, we propose
a solution that does not require extended message complexity considering 3D coordinates …

… , introduces a new tool for radio resource management, since BS positions are open for …
Because of the mobile characteristic of UAV, the ongoing data sessions need to be handover to …

… a handover adaptive optimization method with strong backward compatibility. This paper
regards reinforcement learning module … The mobility management of UDN is also one of the key …

… to maintain service continuity, due to the high mobility of LEO satellites, a primary technical
challenge confronting LEO satellite networks lies in efficiently managing the handover …

… Thus, the handover management and the corresponding challenges stand in the center
of … learning methods. In another study, the authors reviewed the reinforcement learning …

… handover management based on hybrid artificial intelligence from the collaboration of Deep
Learning and Machine Learning… input of the handover management through simulation in …

… In this paper, we provide a proposal of handover management on aerial 5G network utilizing
the fuzzy system. The simulations performed prove the benefits of our proposal by QoS/QoE …

… Machine learning (ML) has … handover management approaches. There are three main types
of ML approaches: supervised learning, unsupervised learning, and reinforcement learning (…

… handovers in the massive base station (BS) deployment. In this paper, an intelligent user
access control scheme with deep reinforcement learning (… -aware mobility management (MM) …

… Based on the procedure analysis of handover in Section III-A, we see that the handover may
… We applied a deep reinforcement learning agent to make a finecontrol on cwnd to keep the …