Vehicular Environment Identification Based on Channel State Information and Deep Learning

Autor: Soheyb Ribouh, Rahmad Sadli, Yassin Elhillali, Atika Rivenq, Abdenour Hadid

Publikováno v: Sensors, Vol 22, Iss 22, p 9018 (2022)

This paper presents a novel vehicular environment identification approach based on deep learning. It consists of exploiting the vehicular wireless channel characteristics in the form of Channel State Information (CSI) in the receiver side of a connec

Externí odkaz: https://doaj.org/article/403ff6cc35b4460485e5d6665c00a70b

Channel state information-based cryptographic key generation for intelligent transportation systems

Autor: Arnav Vaibhav Malawade, Soheyb Ribouh, Mohammad Abdullah Al Faruque, Kelvin Phan, Yassin Elhillali, Atika Rivenq

Publikováno v: IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems, IEEE, 2021, 22 (12), pp.7496-7507. ⟨10.1109/TITS.2020.3003577⟩
IEEE Transactions on Intelligent Transportation Systems, 2021, 22 (12), pp.7496-7507. ⟨10.1109/TITS.2020.3003577⟩

International audience; Due to the sensitivity of the information exchanged in Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communication, generating secret keys is critical to secure these communications. As nature is open access, di

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::134b3e0c0ea13c2dd947655f349ff68b
https://hal.archives-ouvertes.fr/hal-03509899

Multiple sequential constraint removal algorithm for channel estimation in vehicular environment

Autor: Atika Rivenq, Soheyb Ribouh, Yassin Elhillali

Publikováno v: International Symposium on Networks, Computers and Communications, ISNCC 2020
International Symposium on Networks, Computers and Communications, ISNCC 2020, Oct 2020, Montreal, Canada. pp.1-7, ⟨10.1109/ISNCC49221.2020.9297235⟩
ISNCC

International audience; Since the vehicular environment is highly mobile, the transmitted messages are affected by the wireless channel effect. This makes channel estimation one of the important tasks in Vehicle-To-Everything (V2X) communications. In

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2e795bef523fde3565d57db0ee2804a
https://hal.science/hal-03528674

Adaptive Channel estimation technique for ITS-G5 inter- vehicular communication systems

Autor: Aymen Sassi, Atika Rivenq, Yassin Elhillali

Publikováno v: ICM
30th International Conference on Microelectronics, ICM 2018
30th International Conference on Microelectronics, ICM 2018, Dec 2018, Sousse, Tunisia. pp.76-79, ⟨10.1109/ICM.2018.8704023⟩

International audience; In recent years, vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication systems, known as V2X technologies, have been the interest of several research works in road safety and traffic ergonomics. The evalua

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75747e85e41c0a780e3e5397516da2de
https://doi.org/10.1109/icm.2018.8704023

Blind Spectrum Sensing Applied to IR-UWB System for ITS applications

Autor: Laila Chakour, Atika Rivenq, Yassin Elhillali, Khadija Hamidoun, Lamyae Maatougui

Publikováno v: ISIVC
9th International Symposium on Signal, Image, Video and Communications, ISIVC 2018
9th International Symposium on Signal, Image, Video and Communications, ISIVC 2018, Nov 2018, Rabat, Morocco. pp.334-339, ⟨10.1109/ISIVC.2018.8709225⟩

ISBN 978-1-5386-8174-9 e-ISBN 978-1-5386-8173-2; International audience; This paper presents the development of an intelligent receiver for the Impulse Radio Ultra Wideband system. The conception is based on spectrum sensing and cognitive cycle for c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85b3faea1b752c970fb80e1e00ab64e0
https://doi.org/10.1109/isivc.2018.8709225