Work

Network Load Reduction Using Variational Auto-Encoder for Connected and Automated Vehicles

Year: 2025

Type: conference-paper

Source: International Conference on Communications

DOI: 10.1109/icc52391.2025.11161430

Authors: Ramzi Boutahala, Hacène Fouchal, Marwane Ayaida, Shiwen Mao

Institutions: Laboratoire d'Informatique de l'URCA, Université de Reims Champagne-Ardenne, Centre National de la Recherche Scientifique, Université de Lille, Institut d'Electronique, de Microélectronique et de Nanotechnologie, Université Polytechnique Hauts-de-France, Auburn University

Language: English

Topic: Vehicular Ad Hoc Networks (VANETs)

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

Funder: National Science Foundation

Award: Collaborative Research: NSF-MeitY: CNS Core: Small: Learning-Assisted Integrated Sensing, Communication and Security for 6G UAV Networks

OpenAlex ID: W4414539850

FWCI:

Cites: 17

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