6G-EWOC: AI-Enhanced Fiber-Wireless Optical 6G Network in Support of Connected Mobility

The 6G-EWOC project seeks to create an AI-enhanced fiber-wireless optical 6G network to support advanced use cases for Fully Autonomous Vehicles (FAVs) by establishing a new access network incorporating the integration of both fixed/wireless optical and wireless/RF technologies. The access network will be supported by a fast, reconfigurable, highly dynamic and customizable optical fiber-based fronthaul infrastructure which will minimize optoelectronic transitions through tunable and programmable devices, as well as low energy photonic switching of (packet/optical) spectrum and spatial resources, managed by AI-enabled SDN. End-to-end connectivity between AI-based edge computation units will enable advanced Connected and Automated Mobility (CAM) services over a rapid, adaptable network architecture.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-21
DOI
https://doi.org/10.5281/zenodo.14246038
Primary Topic
Optical Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
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article

6G-EWOC: AI-Enhanced Fiber-Wireless Optical 6G Network in Support of Connected Mobility

Zenodo (CERN European Organization for Nuclear Research)
Optical Wireless Communication Technologies
article

6G-EWOC: AI-Enhanced Fiber-Wireless Optical 6G Network in Support of Connected Mobility

article en

Abstract

The 6G-EWOC project seeks to create an AI-enhanced fiber-wireless optical 6G network to support advanced use cases for Fully Autonomous Vehicles (FAVs) by establishing a new access network incorporating the integration of both fixed/wireless optical and wireless/RF technologies. The access network will be supported by a fast, reconfigurable, highly dynamic and customizable optical fiber-based fronthaul infrastructure which will minimize optoelectronic transitions through tunable and programmable devices, as well as low energy photonic switching of (packet/optical) spectrum and spatial resources, managed by AI-enabled SDN. End-to-end connectivity between AI-based edge computation units will enable advanced Connected and Automated Mobility (CAM) services over a rapid, adaptable network architecture.

Zenodo (CERN European Organization for Nuclear Research)
AIT Austrian Institute of Technology GmbH (AT), Magna International (Germany) (DE), Hellenic Telecommunications Organization (Greece) (GR), Cosmote (Greece) (GR), Centre Tecnologic de Telecomunicacions de Catalunya (ES), Universitat Politècnica de Catalunya (ES)
Industry, innovation and infrastructure
Openalex Percentile: Top 67%
Optical Wireless Communication Technologies
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