Efficient Multi-Connectivity Handover Algorithm in Heterogeneous Cellular Networks by Graph-to-Sequence Reinforcement Learning
ZH Huang, CY Huang, MJ Tsai - GLOBECOM 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
In the literature, there are many handover algorithms of selecting one target serving base
station (BS) for a user equipment (UE). However, these algorithms are not suitable for a UE …
station (BS) for a user equipment (UE). However, these algorithms are not suitable for a UE …
Neighbor cell list optimization in handover management using cascading bandits algorithm
Frequent handover is a key challenge in 5G Ultra-Dense Networks (UDN). In this paper, we
show the significance of configuring Neighbor Cell List (NCL) in handover procedure. To …
show the significance of configuring Neighbor Cell List (NCL) in handover procedure. To …
Mobility Performance Analysis of RACH Optimization Based on Decision Tree Supervised Learning for Conditional Handover in 5G Beamformed Networks
In 5G cellular networks, frequency range 2 (FR2) introduces higher frequencies that cause
rapid signal degradation and challenge user mobility. In recent studies, a conditional …
rapid signal degradation and challenge user mobility. In recent studies, a conditional …
Multi-Agent Fingerprints-Enhanced Distributed Intelligent Handover Algorithm in LEO Satellite Networks
The next-generation wireless network is expected to use low-earth orbit (LEO) satellite
networks to deliver seamless and high-capacity global communications services. Due to the …
networks to deliver seamless and high-capacity global communications services. Due to the …
Intelligent dual active protocol stack handover based on double DQN deep reinforcement learning for 5G mmWave networks
The recently proposed dual active protocol stack (DAPS) handover (HO) is one of the
mobility enhancements that can effectively reduce the handover interruption time (HIT) in 5G …
mobility enhancements that can effectively reduce the handover interruption time (HIT) in 5G …
[HTML][HTML] Autonomous handover parameter optimisation for 5G cellular networks using deep deterministic policy gradient
The ultra-dense network (UDN) is considered a vital technology for 5G mobile
communications due to its ability to transmit high data rates in high-traffic environments …
communications due to its ability to transmit high data rates in high-traffic environments …
Predictive handover strategy in 6g and beyond: A deep and transfer learning approach
I Panitsas, A Mudvari, A Maatouk… - arXiv preprint arXiv …, 2024 - arxiv.org
Next-generation cellular networks will evolve into more complex and virtualized systems,
employing machine learning for enhanced optimization and leveraging higher frequency …
employing machine learning for enhanced optimization and leveraging higher frequency …
Enhancing Handover for 5G Mobile Networks using Jump Markov Linear System and Deep Reinforcement Learning
The fifth Generation (5G) mobile networks use millimeter Waves (mmWaves) to offer giga bit
data rates. However, unlike microwaves, mmWave links are prone to user and topographic …
data rates. However, unlike microwaves, mmWave links are prone to user and topographic …
Prediction-based conditional handover for 5G mm-wave networks: A deep-learning approach
Conditional handover (CHO) is one of several promising mobility enhancements in 5G
networks. By making preparation decisions earlier than in LTE HO, CHO can provide an …
networks. By making preparation decisions earlier than in LTE HO, CHO can provide an …
Reinforcement Learning-based User-centric Handover Decision-making in 5G Vehicular Networks
M Murshed - 2024 - dr.library.brocku.ca
The advancement of 5G technologies and Vehicular Networks open a new paradigm for
Intelligent Transportation Systems (ITS) in safety and infotainment services in urban and …
Intelligent Transportation Systems (ITS) in safety and infotainment services in urban and …