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 …
(PHO). PHO aims to provide a seamless and reliable handover for 5G networks. PHO …
Intelligent handover decision scheme using double deep reinforcement learning
Handovers (HOs) have been envisioned to be more challenging in 5G networks due to the
inclusion of millimetre wave (mm-wave) frequencies, resulting in more intense base station …
inclusion of millimetre wave (mm-wave) frequencies, resulting in more intense base station …
Double deep reinforcement learning assisted handovers in 5g and beyond cellular networks
In 5G and beyond cellular networks, the typical cell size has been reducing to provide higher
data rates and meet the low latency requirements. Such ultra-dense deployments of base …
data rates and meet the low latency requirements. Such ultra-dense deployments of base …
A Deep Reinforcement Learning-based Approach for Adaptive Handover Protocols in Mobile Networks
Due to an ever-increasing number of participants and new areas of application, the
demands on mobile communications systems are continually increasing. In order to deliver …
demands on mobile communications systems are continually increasing. In order to deliver …
Deep Q-Networks Assisted Pre-connect Handover Management for 5G Networks
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 …
Generation (5G) networks due to strict requirements in quality of service (QoS), such as ultra …
PBPHS: a profile-based predictive handover strategy for 5G networks
J Sun, Y Zhang, M Trik - Cybernetics and Systems, 2024 - Taylor & Francis
One of the necessities of mobile networks is uninterrupted access to wireless services,
taking into account the requirements of quality of service. With the development of the fifth …
taking into account the requirements of quality of service. With the development of the fifth …
Dqn-alrm based intelligent handover method for satellite-ground integrated network
J Yang, Z Xiao, H Cui, J Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The satellite-ground integrated network (SGIN), consisting of satellites and ground base
stations, is regarded as the trend to solve the problem of global coverage. However, highly …
stations, is regarded as the trend to solve the problem of global coverage. However, highly …
A survey of machine learning applications to handover management in 5G and beyond
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 …
networks that need to be properly managed since it poses multiple threats to quality-of …
[PDF][PDF] Research Article State Aware-Based Prioritized Experience Replay for Handover Decision in 5G Ultradense Networks
DF Wu, C Huang, Y Yin, S Huang, Q Guo, L Zhang - 2022 - m.gglsp.com
The traditional handover decision methods depend on the handover threshold and
measurement reports, which cannot efficiently resolve the frequent handover issue and ping …
measurement reports, which cannot efficiently resolve the frequent handover issue and ping …
Intelligent handover triggering mechanism in 5G ultra-dense networks via clustering-based reinforcement learning
Q Liu, CF Kwong, S Wei, L Li, S Zhang - Mobile Networks and Applications, 2021 - Springer
Ultra-dense networks (UDNs) are considered as key 5G technologies. They provide mobile
users a high transmission rate and efficient radio resource management. However, UDNs …
users a high transmission rate and efficient radio resource management. However, UDNs …