… handover process, which represents the willingness of a cell to admit the incoming handovers…
In this work, a reinforcement learningbased approach for parameter selection is introduced…

… catalyst for data-driven optimization in the Intelligent Transportation System (ITS) domain. Yet,
… related to geospatial effects such as cellular handovers and even technology fallbacks. In …

… reinforcement learning (DRL) for an adjustment of handover … learning solutions, we develop
an intelligent handover … so that the overall accumulated learning error is minimized and, thus…

… for handover or not. It is obvious that there will be a cyclic dependency between handover
… to the number of handover candidates, although the number of handover candidates is …

… for spearheading the vision of intelligent transportation systems [2]… , the delay, and the
handover cost using nonlinear regression … may result in frequent handovers hereby, degrading the …

… 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. …

… To provide the truly seamless mobility service, we propose a deep reinforcement learning-…
handover performance with per-slice service assurance by optimizing slice-specific handover …

… handover and vertical handover? How do we improve the performance and efficiency of
deep reinforcement learning-based handover … The intelligent handover decision method is …

… smart intelligent … handover execution is important due to the battery constraint of IoT (Internet
of Things) device. Thus, it is important to reduce the signaling overhead of the handover …

… With the rapid development of intelligent devices and different network … learning paradigms
in machine learning: supervised learning, unsupervised learning and reinforcement learning…