… The current handover (HO) triggering … network, reinforcement learning has attracted
considerable research attention. References [13,14,15,16] demonstrated the reinforcement learning-…

… 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 …

… while maintaining a lower handover cost. Hence, a reinforcement learning-based solution will
… Kim, “Intelligent handover scheme for drone using fuzzy inference systems,” IEEE Access, …

… reinforcement learning framework based on the Actor − Critic method to deal with the wireless
handover … Demarchou et al. in [18] designed an intelligent handover skip scheme based …

… handover strategy based on multi-agent reinforcement learning that aims to minimize average
satellite handovers … strategy outperforms the local handover strategies based on basic …

… 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 …

… link blockage occurred, the handover agent can intelligently analyze the channel blockage
… on deep reinforcement learning (DRL), where a central controller optimizes the handover …

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

… To solve this problem, we propose SECHO, a secure handover … reinforcement learning
algorithm to realize optimal handover, … enhances the ability of MEC system to make intelligent …

… in mobile HetNets, leveraging modern tools from deep reinforcement learning (RL). …
Handover control in wireless systems via asynchronous multiuser deep reinforcement learning…