An overview of reinforcement learning algorithms for handover management in 5G ultra-dense small cell networks
… reinforcement learning techniques. First, we discussed existing surveys then we are focused
on handover (HO) management … Following, this study also discussed how machine learning …
on handover (HO) management … Following, this study also discussed how machine learning …
Multi-agent deep reinforcement learning for distributed handover management in dense mmWave networks
… In this work, we have proposed a framework to manage handover events based on multi-agent
deep reinforcement learning. We maximize the average network sum-rate taking into …
deep reinforcement learning. We maximize the average network sum-rate taking into …
Deep reinforcement learning based handover management for millimeter wave communication
… Handover (HO). HO events become frequent for an ultra-dense dense network scenario, and
HO management … HO control based on the offline reinforcement learning (RL) algorithm that …
HO management … HO control based on the offline reinforcement learning (RL) algorithm that …
Intelligent handover decision scheme using double deep reinforcement learning
… Handovers (HOs) have been envisioned to be more … -wave BSs thereby making HO
management a more crucial task … scheme based on double deep reinforcement learning (DDRL) …
management a more crucial task … scheme based on double deep reinforcement learning (DDRL) …
Proactive handover decision for UAVs with deep reinforcement learning
… , and UAV handover management requires a mechanism that … handover decisions. The
UHD is designed to perform efficient handover decisions that eliminate unnecessary handovers …
UHD is designed to perform efficient handover decisions that eliminate unnecessary handovers …
Joint optimization of handover control and power allocation based on multi-agent deep reinforcement learning
D Guo, L Tang, X Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… , we develop a multi-agent reinforcement learning (MARL) algorithm based on the …
management and power allocation scheme to maximize the throughput while reducing the handover …
management and power allocation scheme to maximize the throughput while reducing the handover …
A survey of machine learning applications to handover management in 5G and beyond
… and discussing mobility and HO management in 5G alongside the … management in 5G
networks accompanied by a discussion on machine learning (ML) applications to HO management…
networks accompanied by a discussion on machine learning (ML) applications to HO management…
Handover Management in a Sliced 5G Network Using Deep Reinforcement Learning
… An overview of reinforcement learning algorithms for handover management in 5G ultra-dense …
Handover management over dual connectivity in 5G technology with future ultra-dense …
Handover management over dual connectivity in 5G technology with future ultra-dense …
Enabling proportionally-fair mobility management with reinforcement learning in 5G networks
A Prado, F Stöckeler, F Mehmeti… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
… BS assignment and handover management algorithms, while Section V explains the currently
used handover algorithm and an Reinforcement Learning (RL)-based handover algorithm, …
used handover algorithm and an Reinforcement Learning (RL)-based handover algorithm, …
Intelligent handover triggering mechanism in 5G ultra-dense networks via clustering-based reinforcement learning
… the handover management complexity. At present, the conventional handover triggering …
effects such as frequent handovers, ping-pong handovers, and handover failures on the …
effects such as frequent handovers, ping-pong handovers, and handover failures on the …
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