PROJECT DATA
Starting date: 01/06/2019End Date: 30/11/2021
Cost: €14,109,226.25
Funding: €14,109,226.25
Estimated Effort: 1616.5
Call Identifier: H2020-ICT-2018-3
FURTHER INFO
Opening 5G to European vertical industries
We are one of the selected projects running in the framework of the 5G Public Private Partnership (5G-PPP) Phase 3, Part 3: “Advanced 5G validation trials across multiple vertical industries”, co-led by the European Commission and industry, and we will explore the concrete applicability of 5G technologies to real-world use-cases across various vertical sectors.
5GROWTH: OUR GOAL
We aim to empower vertical industries such as Industry 4.0, Transportation, and Energy with Artificial Intelligence-driven automated 5G end-to-end solutions that will
allow them to simultaneously
achieve their respective key performance
targets.
POSTER
Download here
BROCHURE
Download hereOUR TEAM
PRINCIPAL RESEARCHERS
Dr. Carlos J. Bernardos
Project Coordinator
Universidad Carlos III de Madrid Leganés, Madrid, Spain
Dr. Xi Li
Technical Manager
NEC Laboratories Europe
Heidelberg, Germany
KEEP UP WITH THE LATEST NEWS
Our Blog
🗣 5G PPP Phase 3 projects brochure 📄
The 5G PPP Phase 3 projects brochure is now online, you can find it here. 5GROWTH appears on page 20, under the section “Advanced Validation Trials Across Multiple Vertical Industries”,[…]
Read more
5GROWTH Demonstration Schedule at EuCNC 2021
🤗👥 This year, 5GROWTH project is presenting seven different demonstrations of our pilots and innovations during EUCNC. Don’t hesitate to visit our booth in case you are interested‼️ This is[…]
Read more
Vote for Best Booth Award at EuCNC 2021!
🤗 2021 Joint EuCNC & 6G Summit | Exhibition 👏🏼 If you are registered to EuCNC, please consider passing by our virtual booth and voting it for the best booth[…]
Read moreCONNECT WITH US
Contact us
Any doubts? Question or query, help is at hand.
E-mail us anytime and we’ll get back to you within 24-48 hours .
Else, obtain a quick response through our social media.
Hits: 43410
5GROWTH is funded by the European Union’s Research and Innovation Programme Horizon 2020 under Grant Agreement no. 856709
