Next-Generation Connectivity and Edge AI for Industry Use Cases
| Reference number | |
| Coordinator | RISE Research Institutes of Sweden AB |
| Funding from Vinnova | SEK 100 000 |
| Project duration | February 2026 - May 2026 |
| Status | Ongoing |
| Venture | 6G - Competence supply |
| Call | 6G - Supervision of degree work |
Purpose and goal
The purpose of the project is to complement the Digital testbed Sweden (DTSE) initiative by analyzing next-generation networks through practical pilot cases. The goal is to understand how AI-based services can be designed and deployed across device edge, network edge, and cloud environments.
Expected effects and result
The project is expected to improve understanding of how AI services operate in next-generation networks. The results provide reusable workflows and insights that support future development and decision-making. It also contributes to validating practical deployment strategies across device edge, network edge, and cloud environments.
Planned approach and implementation
The project identifies key components such as data transmission protocols, AI inference services, data pipelines, and visualization interfaces. These are integrated into a containerized edge-AI workflow for scalable deployment across device edge, network edge, and cloud. AI model selection balances accuracy, latency, and resource constraints.