SCoDIHNet monthly news – March 2026
The Smart Connectivity DIH Network has mainly worked on the following topics 1/ A number of new replicable use cases have been introduced in the VET, now we have already […]
Call for Papers for the First International Workshop on Software Defined Space Infrastructures SDSI2026, part of IEEE NetSoft 2026 Berlin
SCOPE AND MOTIVATION Satellite constellations are emerging as an important component of future 6G networks. Such satellite constellations bring new paradigms for softwarisation and hence they are [...]
Towards 6G-enabled eHealth White Paper is out!
Towards 6G-enabled eHealth (February 2026) This SNS JU Reliable Software Networks Working Group white paper consolidates findings from leading European research projects, demonstrating how [...]
WiTaR Lunch Salon #3 – Building Inclusive 6G Through Technical Leadership
WiTaR Lunch Salon #3 – Building Inclusive 6G Through Technical Leadership, Research Collaboration and Contributions to Standardisation Speaker: Dr. Albena Mihovska, CTO SmartAvatar B.V., [...]
IMAGINE-B5G Final Webinar: From Experimentation to Impact in 5G & Beyond
Join us for the IMAGINE-B5G Final Webinar, where we bring together four leading experimentation facilities from Portugal, France, Norway, and Spain to showcase their key results and achievements. [...]
European SME Expertise in 5G & Beyond – 2025 Brochure Now Available
Who are the SMEs driving Europe’s progress in 5G and future networks this year? The 2025 edition of the European SME Expertise in 5G & Beyond brochure is now online, […]
6G-REFERENCE Webinar Series: Complementary Microelectronics Hardware Concepts Webinar
6G-REFERENCE Webinar Series “Complementary Microelectronics Hardware Concepts: FirstTo6G and 6G-REFERENCE” We are pleased to invite you to the first Webinar in the 6G-REFERENCE [...]
New SNS JU White Paper: The AI/ML Landscape for Smart Networks and Services
The SNS JU Reliable Software Networks Working Group, has created a new white paper exploring the role of Artificial Intelligence (AI) and Machine Learning (ML) in advancing smart networks and [...]
