[HTML][HTML] Machine learning-based approaches for handover decision of cellular-connected drones in future networks: A comprehensive review

M Zaid, MKA Kadir, I Shayea, Z Mansor - Engineering Science and …, 2024 - Elsevier
The integration of cellular connectivity in drones signifies a crucial leap forward, offering the
potential to revolutionize multiple industries. This comprehensive review examines the latest …

[HTML][HTML] A comprehensive survey on machine learning methods for handover optimization in 5g networks

SK Thillaigovindhan, M Roslee, SMI Mitani, AF Osman… - Electronics, 2024 - mdpi.com
One of the key features of mobile networks in this age of mobile communication is seamless
communication. Handover (HO) is a critical component of next-generation (NG) cellular …

A Smart Handover Strategy for 5G mmWave Dual Connectivity Networks

VR Gannapathy, R Nordin, NF Abdullah… - IEEE …, 2023 - ieeexplore.ieee.org
The consideration of millimeter wave (mmWave) bands and ultra-dense deployment have
emerged as essential enabling solutions in Fifth Generation (5G) networks. However, these …

Meta-Transfer Learning-Based Handover Optimization for V2N Communication

RM Sohaib, O Onireti, K Tan, Y Sambo… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The rapid growth of vehicle-to-network (V2N) communication demands efficient handover
decision-making strategies to ensure seamless connectivity and maximum throughput …

Optimal handover optimization in future mobile heterogeneous network using integrated weighted and fuzzy logic models

W Tashan, I Shayea, S Aldirmaz-Colak… - IEEE …, 2024 - ieeexplore.ieee.org
High mobility travelling trains and drones connected via ultra-dense mobile networks may
lead to frequent handovers (HOs). As a consequence, this could arise the mobility problems …

A Beamforming-Based Enhanced Handover Scheme with Adaptive Threshold for 5G Heterogeneous Networks

Z Zhang, Z Jiang, B Yang, X She - Electronics, 2023 - mdpi.com
In order to tackle the explosive growth of data traffic and the number of terminals, 5G
heterogeneous network (HetNet) has become an important evolution direction of 5G …

Propagation Modeling of Unmanned Aerial Vehicle (UAV) 5G Wireless Networks in Rural Mountainous Regions Using Ray Tracing

S Ali, A Abu-Samah, NF Abdullah, NLM Kamal - Drones, 2024 - search.proquest.com
Deploying 5G networks in mountainous rural regions can be challenging due to its unique
and challenging characteristics. Attaching a transmitter to a UAV to enable connectivity …

Investigating the effect of handover on latency in early 5G NR deployments for C-V2X network planning

J Clancy, D Mullins, E Ward, P Denny, E Jones… - IEEE …, 2023 - ieeexplore.ieee.org
Vehicle-to-Everything (V2X) communication technology aims to enhance intelligent vehicles'
coordination and perception by enabling interactions with other vehicles, road users, and …

Deep reinforcement learning based mobility management in a MEC-Enabled cellular IoT network

H Kabir, ML Tham, YC Chang, CO Chow - Pervasive and Mobile …, 2024 - Elsevier
Abstract Mobile Edge Computing (MEC) has paved the way for new Cellular Internet of
Things (CIoT) paradigm, where resource constrained CIoT Devices (CDs) can offload tasks …

Enhancement of Handover Management through Reconfigurable Intelligent Surfaces in a 3D Ground-Aerial-Space Network Scenario

AM Vegni, Y Ata, MS Alouini - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
This paper investigates the role of reconfigurable intelligent surface (RIS) for enhanced
handover management in 6G networks with overlapping wireless network layers ie, ground …