Deep Q-Networks Assisted Pre-connect Handover Management for 5G Networks

Y Wei, CH Lung, S Ajila… - 2023 IEEE 97th Vehicular …, 2023 - ieeexplore.ieee.org
Handover management is crucial for wireless networks and is more challenging for Fifth
Generation (5G) networks due to strict requirements in quality of service (QoS), such as ultra …

Pre-connect handover management for 5g networks

Y Wei, RP Cabrera, CH Lung… - 2022 IEEE Future …, 2022 - ieeexplore.ieee.org
Handover is an essential and significant component of mobility management in cellular
networks. Handover management is more challenging in Fifth Generation (5G) networks …

[HTML][HTML] Autonomous handover parameter optimisation for 5G cellular networks using deep deterministic policy gradient

CF Kwong, C Shi, Q Liu, S Yang, D Chieng… - Expert Systems with …, 2024 - Elsevier
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 …

Multi-Agent Deep Reinforcement Learning Assisted Pre-connect Handover Management

Y Wei - 2022 - repository.library.carleton.ca
This thesis proposes a MBB adopted handover mechanism, namely, pre-connect handover
(PHO). PHO aims to provide a seamless and reliable handover for 5G networks. PHO …

Advanced Conditional Handover in 5G and Beyond Using Q-Learning

SC Sundararaju, S Ramamoorthy… - 2024 IEEE Wireless …, 2024 - ieeexplore.ieee.org
The vision of the new cellular technologies is to provide seamless wireless connectivity to
different market verticals with diverse quality of service requirements. Conditional Handover …

A survey of machine learning applications to handover management in 5G and beyond

MS Mollel, AI Abubakar, M Ozturk, SF Kaijage… - IEEE …, 2021 - ieeexplore.ieee.org
Handover (HO) is one of the key aspects of next-generation (NG) cellular communication
networks that need to be properly managed since it poses multiple threats to quality-of …

State Aware-Based Prioritized Experience Replay for Handover Decision in 5G Ultradense Networks

W Dong-Fang, C Huang, Y Yin… - Wireless …, 2022 - search.proquest.com
The traditional handover decision methods depend on the handover threshold and
measurement reports, which cannot efficiently resolve the frequent handover issue and ping …

State Aware‐Based Prioritized Experience Replay for Handover Decision in 5G Ultradense Networks

DF Wu, C Huang, Y Yin, S Huang… - Wireless …, 2022 - Wiley Online Library
The traditional handover decision methods depend on the handover threshold and
measurement reports, which cannot efficiently resolve the frequent handover issue and ping …

A Reinforcement Learning Handover Parameter Adaptation Method Based on LSTM-Aided Digital Twin for UDN

J He, T Xiang, Y Wang, H Ruan, X Zhang - Sensors, 2023 - mdpi.com
Adaptation of handover parameters in ultra-dense networks has always been one of the key
issues in optimizing network performance. Aiming at the optimization goal of effective …

[PDF][PDF] Q-learning vertical handover scheme in two-tier LTE-A networks.

A Bathich, MA Mansor, SI Suliman… - International Journal of …, 2020 - researchgate.net
Global mobile communication necessitates improved capacity and proper quality assurance
for services. To achieve these requirements, small cells have been deployed intensively by …