A survey of collaborative machine learning using 5G vehicular communications

SV Balkus, H Wang, BD Cornet… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
By enabling autonomous vehicles (AVs) to share data while driving, 5G vehicular
communications allow AVs to collaborate on solving common autonomous driving tasks …

Artificial Intelligence and Machine Learning as key enablers for V2X communications: A comprehensive survey

M Christopoulou, S Barmpounakis, H Koumaras… - Vehicular …, 2023 - Elsevier
The automotive industry is undergoing a profound digital transformation to create
autonomous vehicles. Vehicle-to-Everything (V2X) communications enable the provisioning …

Artificial intelligence-empowered edge of vehicles: architecture, enabling technologies, and applications

H Ji, O Alfarraj, A Tolba - IEEE Access, 2020 - ieeexplore.ieee.org
With the proliferation of mobile devices and a wealth of rich application services, the Internet
of vehicles (IoV) has struggled to handle computationally intensive and delay-sensitive …

Efficient handover protocol for 5G and beyond networks

VO Nyangaresi, AJ Rodrigues - Computers & Security, 2022 - Elsevier
The fifth generation (5G) and beyond 5G (B5G) networks offer ultra-low latencies, higher
reliability, scalability, data rates and capacities to support applications such as vehicular …

Machine learning protocol for secure 5G handovers

VO Nyangaresi, AJ Rodrigues, SO Abeka - International Journal of …, 2022 - Springer
The fifth generation (5G) networks are characterized with ultra-dense deployment of base
stations with limited footprint. Consequently, user equipment's handover frequently as they …

Intelligent handover algorithm for vehicle-to-network communications with double-deep Q-learning

K Tan, D Bremner, J Le Kernec… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
For vehicle-to-network communications, handover (HO) management enables vehicles to
maintain the connection with the network while transiting through coverage areas of different …

Intelligent handover decision scheme using double deep reinforcement learning

MS Mollel, AI Abubakar, M Ozturk, S Kaijage… - Physical …, 2020 - Elsevier
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 …

[HTML][HTML] Knowledge-defined networking: Applications, challenges and future work

S Ashtari, I Zhou, M Abolhasan, N Shariati, J Lipman… - Array, 2022 - Elsevier
Future 6G wireless communication systems are expected to feature intelligence and
automation. Knowledge-defined networking (KDN) is an evolutionary step toward …

Effectiveness of handover control parameters on handover performance in 5G and beyond mobile networks

S Alraih, R Nordin, I Shayea… - Wireless …, 2022 - Wiley Online Library
Mobility management is essential in mobile communication networks to provide a smooth
connection during users' mobility. Handover control parameters (HCPs), such as handover …

An efficient handover mechanism for 5G networks using hybridization of LSTM and SVM

G Kaur, RK Goyal, R Mehta - Multimedia Tools and Applications, 2022 - Springer
Mobile devices can access the internet through different wireless interfaces such as wireless
fidelity (WiFi), worldwide interoperability for microwave access (WiMAX), and cellular …