Towards AI-Enhanced Fire-Wireless Optical 6G Network in Support of Connected Mobility

Eleni Theodoropoulou; George Lyberopoulos; Fotini Seitaki; Carina Marcus; Olof Eriksson; Bernhard Schrenk; Pablo Garcia; Santiago Royo; Josep Maria Fabrega; Ricardo Martinez; Ramon Casellas; Josep Ramon Casas; Jose Antonio Làzaro

Towards AI-Enhanced Fire-Wireless Optical 6G Network in Support of Connected Mobility

Eleni Theodoropoulou (Vortragende:r), George Lyberopoulos, Fotini Seitaki, Carina Marcus, Olof Eriksson, Bernhard Schrenk, Pablo Garcia, Santiago Royo, Josep Maria Fabrega, Ricardo Martinez, Ramon Casellas, Josep Ramon Casas, Jose Antonio Làzaro

Security & Communication Technologies

Publikation: Beitrag in Buch oder Tagungsband › Vortrag mit Beitrag in Tagungsband › Begutachtung

Abstract

The 6G-EWOC project aims to establish a new
access network that integrates both wireless/RF and
fixed/wireless optical technologies in order to create an AI-enhanced fiber-wireless optical 6G network to support advanced
use cases for Fully Autonomous Vehicles (FAVs). A fast,
reconfigurable, highly dynamic, and customizable fronthaul
infrastructure based on optical fiber will support the access
network. This infrastructure will minimize optoelectronic
transitions through programmable and tunable devices, as well
as low energy photonic switching of (packet/optical) spectrum
and spatial resources, which will be managed by AI-enabled
SDN. Advanced Connected and Automated Mobility (CAM)
services over a quick-to-adapt network architecture will be
possible with end-to-end connectivity between AI-based edge
computation units.

Originalsprache	Englisch
Titel	IEEE Int. Workshop on Computer Aided Modeling and Design of Communication Links and Networks
Seitenumfang	6
Publikationsstatus	Veröffentlicht - 2024
Veranstaltung	IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks - Athens, Athens, Griechenland Dauer: 21 Okt. 2024 → 23 Okt. 2024 http://camad2024.ieee-camad.org

Konferenz

Konferenz	IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks
Land/Gebiet	Griechenland
Stadt	Athens
Zeitraum	21/10/24 → 23/10/24
Internetadresse	http://camad2024.ieee-camad.org

Research Field

Enabling Digital Technologies

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Theodoropoulou, E., Lyberopoulos, G., Seitaki, F., Marcus, C., Eriksson, O., Schrenk, B., Garcia, P., Royo, S., Fabrega, J. M., Martinez, R., Casellas, R., Casas, J. R., & Làzaro, J. A. (2024). Towards AI-Enhanced Fire-Wireless Optical 6G Network in Support of Connected Mobility. in IEEE Int. Workshop on Computer Aided Modeling and Design of Communication Links and Networks Artikel S16-3

@inproceedings{683c6973c808409cb979849f427545de,

title = "Towards AI-Enhanced Fire-Wireless Optical 6G Network in Support of Connected Mobility",

abstract = " The 6G-EWOC project aims to establish a new access network that integrates both wireless/RF and fixed/wireless optical technologies in order to create an AI-enhanced fiber-wireless optical 6G network to support advanced use cases for Fully Autonomous Vehicles (FAVs). A fast, reconfigurable, highly dynamic, and customizable fronthaul infrastructure based on optical fiber will support the access network. This infrastructure will minimize optoelectronic transitions through programmable and tunable devices, as well as low energy photonic switching of (packet/optical) spectrum and spatial resources, which will be managed by AI-enabled SDN. Advanced Connected and Automated Mobility (CAM) services over a quick-to-adapt network architecture will be possible with end-to-end connectivity between AI-based edge computation units.",

author = "Eleni Theodoropoulou and George Lyberopoulos and Fotini Seitaki and Carina Marcus and Olof Eriksson and Bernhard Schrenk and Pablo Garcia and Santiago Royo and Fabrega, {Josep Maria} and Ricardo Martinez and Ramon Casellas and Casas, {Josep Ramon} and L{\`a}zaro, {Jose Antonio}",

year = "2024",

language = "English",

booktitle = "IEEE Int. Workshop on Computer Aided Modeling and Design of Communication Links and Networks",

note = "IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks ; Conference date: 21-10-2024 Through 23-10-2024",

url = "http://camad2024.ieee-camad.org",

}

Theodoropoulou, E, Lyberopoulos, G, Seitaki, F, Marcus, C, Eriksson, O, Schrenk, B, Garcia, P, Royo, S, Fabrega, JM, Martinez, R, Casellas, R, Casas, JR & Làzaro, JA 2024, Towards AI-Enhanced Fire-Wireless Optical 6G Network in Support of Connected Mobility. in IEEE Int. Workshop on Computer Aided Modeling and Design of Communication Links and Networks., S16-3, IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, Athens, Griechenland, 21/10/24.

Towards AI-Enhanced Fire-Wireless Optical 6G Network in Support of Connected Mobility. / Theodoropoulou, Eleni (Vortragende:r); Lyberopoulos, George; Seitaki, Fotini et al.
IEEE Int. Workshop on Computer Aided Modeling and Design of Communication Links and Networks. 2024. S16-3.

Publikation: Beitrag in Buch oder Tagungsband › Vortrag mit Beitrag in Tagungsband › Begutachtung

TY - GEN

T1 - Towards AI-Enhanced Fire-Wireless Optical 6G Network in Support of Connected Mobility

AU - Lyberopoulos, George

AU - Seitaki, Fotini

AU - Marcus, Carina

AU - Eriksson, Olof

AU - Schrenk, Bernhard

AU - Garcia, Pablo

AU - Royo, Santiago

AU - Fabrega, Josep Maria

AU - Martinez, Ricardo

AU - Casellas, Ramon

AU - Casas, Josep Ramon

AU - Làzaro, Jose Antonio

A2 - Theodoropoulou, Eleni

PY - 2024

Y1 - 2024

N2 - The 6G-EWOC project aims to establish a new access network that integrates both wireless/RF and fixed/wireless optical technologies in order to create an AI-enhanced fiber-wireless optical 6G network to support advanced use cases for Fully Autonomous Vehicles (FAVs). A fast, reconfigurable, highly dynamic, and customizable fronthaul infrastructure based on optical fiber will support the access network. This infrastructure will minimize optoelectronic transitions through programmable and tunable devices, as well as low energy photonic switching of (packet/optical) spectrum and spatial resources, which will be managed by AI-enabled SDN. Advanced Connected and Automated Mobility (CAM) services over a quick-to-adapt network architecture will be possible with end-to-end connectivity between AI-based edge computation units.

AB - The 6G-EWOC project aims to establish a new access network that integrates both wireless/RF and fixed/wireless optical technologies in order to create an AI-enhanced fiber-wireless optical 6G network to support advanced use cases for Fully Autonomous Vehicles (FAVs). A fast, reconfigurable, highly dynamic, and customizable fronthaul infrastructure based on optical fiber will support the access network. This infrastructure will minimize optoelectronic transitions through programmable and tunable devices, as well as low energy photonic switching of (packet/optical) spectrum and spatial resources, which will be managed by AI-enabled SDN. Advanced Connected and Automated Mobility (CAM) services over a quick-to-adapt network architecture will be possible with end-to-end connectivity between AI-based edge computation units.

M3 - Conference Proceedings with Oral Presentation

BT - IEEE Int. Workshop on Computer Aided Modeling and Design of Communication Links and Networks

T2 - IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks

Y2 - 21 October 2024 through 23 October 2024

ER -

Towards AI-Enhanced Fire-Wireless Optical 6G Network in Support of Connected Mobility

Abstract

Konferenz

Research Field

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