Work Packages and Tasks

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Organisation of the workplan (Pert diagram)

Advance State of the Art in the Area of Connecting Intelligence and Trustworthiness

The objectives focus on providing participants with practical and theoretical knowledge to infuse intelligence into future wireless networks using disruptive technologies, such as AI and ML, for enhanced connectivity and Quality of Experience (QoE). Additionally, participants will learn to comply with the trustworthiness requirements critical to future communication networks and their applications. Through both collaborative and individual projects, these aims seek to deepen understanding and broaden skills in key areas of future communication technologies.

AI-Driven Spectrum Utilisation

Explore different ML models which adapt to dynamic wireless network environments and achieve a high quality-of-experience (QoE). Apply new AI-based spectrum sharing techniques for improving spectral utilisation.

Distributed AI algorithms for immersive applications

Create efficient and real-time AI systems for immersive applications with distributed data and strict latency constraints. This requires a new approach that combines communication and computing while considering various challenges like privacy, energy, and trustworthiness.

In-network learning methods & algorithms based on AI

Enable efficient, secure, and scalable AI functionality in wireless networks through optimized resource management, knowledge sharing, and privacy-preserving collaboration.

Deliverables

Team Network Collaboration and Knowledge Transfer

Scientific and Entrepreneurial Collaboration for Competitive Innovation

Communication, Dissemination and Exploitation

Project Management

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