[HTML][HTML] Smart traffic shaping based on distributed reinforcement learning for multimedia streaming over 5G-VANET communication technology

AA Ahmed, SJ Malebary, W Ali, OM Barukab - Mathematics, 2023 - mdpi.com
Vehicles serve as mobile nodes in a high-mobility MANET technique known as the vehicular
ad hoc network (VANET), which is used in urban and rural areas as well as on highways …

Internet traffic prediction with distributed multi-agent learning

W Jiang, M He, W Gu - Applied System Innovation, 2022 - mdpi.com
Internet traffic prediction has been considered a research topic and the basis for intelligent
network management and planning, eg, elastic network service provision and content …

Resource allocation in V2X communication: State-of-the-art and research challenges

A Nair, S Tanwar - Physical Communication, 2024 - Elsevier
This paper explores the multifaceted domain of resource allocation (RA) in vehicle-to-
everything (V2X) communication, emphasizing its pivotal role in advancing intelligent …

Deep learning peephole LSTM neural network-based channel state estimators for OFDM 5G and beyond networks

MH Essai Ali, AR Abdellah, HA Atallah, GS Ahmed… - Mathematics, 2023 - mdpi.com
This study uses deep learning (DL) techniques for pilot-based channel estimation in
orthogonal frequency division multiplexing (OFDM). Conventional channel estimators in pilot …

Security of 6G enabled Vehicle-to-Everything Communication in Emerging Federated Learning and Blockchain Technologies

M Kim, I Oh, K Yim, M Sahlabadi, Z Shukur - IEEE Access, 2023 - ieeexplore.ieee.org
Sixth-generation (6G) communication is emerging as seamless and massive connecting of
almost everything. Therefore, vehicles, being extensively linked with human mobility, require …

Enhancing road safety through advanced predictive analytics in V2X communication networks

FAM Al-Yarimi - Computers and Electrical Engineering, 2024 - Elsevier
Abstract" SafeRouteX," which stands for" Enhancing Road Safety through Advanced
Predictive Analytics in V2X Communication Networks," is a novel approach to Vehicle-to …

Optimal Restricted Boltzmann Machine based Traffic Analysis on 5G Networks

J Duraimurugan, I Gandhi - 2023 Second International …, 2023 - ieeexplore.ieee.org
There is an increasing demand for accurate traffic prediction techniques to support quality of
service optimization, effective network management, and resource allocation with the …

Automated Road anomaly detector in VANET by using Deep Learning

SV Bondre, VD Bondre, U Yadav… - 2023 OITS …, 2023 - ieeexplore.ieee.org
Road surface anomalies are a serious issue for safe and effective traffic flow; they are
becoming more common due to factors like poor materials for construction, heavy traffic …

Delay Prediction in M2M Networks Using the Deep Learning Approach

AR Abdellah, M Alsweity, MH Essai… - Secure Edge and Fog …, 2024 - Springer
The rapid development of fifth-generation (5G) mobile technology and its applications in
various sectors has increased the number of machine-to-machine (M2M) connections and …

Network Analytics for 5G Data

RPP Ferreira - 2023 - ubibliorum.ubi.pt
Over the last decade, advances in network infrastructure and Artificial Intelligence have
driven the development and integration of autonomous vehicles into society. The ultra-low …