… method for handover optimization in a 5G cellular network using reinforcement learning (RL).
In contrast to the conventional method, we propose to control the handovers between base-…

… reinforcement learning, namely RTCP, to alleviate performance degradation problems caused
by handover… This letter strived to answer a critical issue for TCP: How to intelligently adjust …

… ), a novel intelligent handover algorithm based on deep reinforcement learning (DRL), …
process (MDP) and enables network to dynamically handover according to current network states. …

… types call for an intelligent handover scheme to guarantee … reinforcement LEarning based
Smart handover Scheme, named LESS, is proposed, with the purpose of minimizing handover …

… reinforcement learning (DRL)-based handover scheme by considering multiple handover …
Xu, “QoE-driven intelligent handover for user-centric mobile satellite networks,” IEEE Trans. …

… solutions have been awash with Machine and Artificial intelligence (AI) learning solutions.
Some of these include Deep and Reinforcement Learning (RL) Handoffs (HOs). The …

… challenges to the handover algorithm. This paper designs a reinforcement learning-based …
QoE-driven intelligent handover for user-centric mobile satellite networks[J]. IEEE …

… , an intelligent control scheme for a multi-slice RAN. ICRAN leverages deep reinforcement
learning (… Besides this, we redefine handover to include performance triggered handovers. For …

… In this article, we present a deep reinforcement learning-based dual connectivity (DC) …
and the wireless communication handover algorithm based on artificial intelligence (AI). The …

… decides whether to transfer the UE’s connection to macrocell or change UE’s handover
parameters. The authors of [8] develop an intelligent handover optimisation scheme based on Q-…