PROJECTS
6G-VERSUS
6G-VERSUS is a Horizon Europe SNS JU project that explores how future 6G networks can contribute to more sustainable digital services and industrial processes. The project brings together research institutions, technology providers, network operators and vertical-sector partners to test advanced 5G/6G technologies in real operational scenarios across Europe.
Through a set of large-scale trials and pilots, 6G-VERSUS investigates how next-generation connectivity, artificial intelligence and distributed computing can help optimise the use of resources, improve operational efficiency and reduce environmental impact. The project focuses on practical use cases from sustainability-oriented sectors, transforming them into 6G-enabled solutions that can be evaluated in terms of technical performance, environmental value, economic potential and societal impact.
By validating these solutions on advanced European experimentation platforms, 6G-VERSUS aims to provide evidence, tools and knowledge that support the transition towards a more sustainable and innovation-driven 6G ecosystem.
From a technical perspective, 6G-VERSUS introduces a novel methodology, transforming existing use cases into 6G applications, comprising Vertical App (V-App), Network App (N-App), and AI-assisted App (AI-App).
SATRD role in the 6G-VERSUS project
SATRD, as part of UPV, contributes to 6G-VERSUS with its expertise in advanced 5G/6G technologies, Cloud-Edge-IoT environments and technology-oriented education. Its main contribution is the leadership of Task T7.4, focused on ecosystem capacity building through targeted training programmes. In this role, SATRD/UPV will coordinate the definition and delivery of training activities aimed at professionals, SMEs, start-ups, researchers and academic stakeholders, helping them acquire the skills needed to understand, deploy and exploit sustainable 5G/6G technologies.
Beyond this training leadership role, SATRD/UPV also contributes to technical and cross-cutting activities in the project, including the definition of KPIs related to Cloud-Edge-IoT environments, support for AI-assisted applications through models for user intents, and the collection of technical knowledge from testbed preparation, integration and trials to feed the project’s training programme.