About this project:
6G BRAINS aims to bring AI-driven multi-agent Deep Reinforcement learning (DRL) to perform resource allocation over and beyond massive machine-type communications with new spectrum links including THz and optical wireless communications (OWC) to enhance the performance with regard to capacity, reliability and latency for future industrial networks.
The project proposes a novel comprehensive cross-layer DRL driven resource allocation solution to support the massive connections over device-to-device (D2D) assisted highly dynamic cell-free network enabled by Sub-6 GHz/mmWave/THz/OWC and high resolution 3D Simultaneous Localization and Mapping (SLAM) of up to 1 mm accuracy.
The enabling technologies in 6G BRAINS focus on four major aspects including disruptive new spectral links, highly dynamic D2D cell-free network modelling, intelligent end-to-end network architecture integrating the multi-agent DRL scheme and AI-enhanced high-resolution 3D SLAM data fusion.
The developed technologies will be widely applicable to various vertical sectors such as Industry 4.0, intelligent transportation, eHealth, etc
- An AI-driven D2D cell free network architecture for highly dynamic and ultra-dense connectivity
- AI-based End-to-End (E2E) Directional network slicing with guaranteed QoS over highly dynamic network
- AI-driven data fusion for the 3D indoor position map through heterogeneous location methods enabling 1cm location position accuracy and 1o orientation accuracy
- Enhanced new spectrum links: OWC and THz
The main role of UWS will be to lead to successful delivery of WP5 AI-enabled directional RAN slicing and E2E network slicing over integrated IAB. UWS will lead as well T5.2 Novel hybrid network slicing for the backbone network and will provide active contribution in T5.1 Novel AI-based directional radio access and backhaul network slicing and T5.3. Autonomous Intent-based management and network orchestration system for integrated E2E network slicingIntent-based networking for end-to-end automation. UWS will also provide an active contribution in the definition of the architecture and interfaces T2.2 and in dissemination and 5G-PPP liaison activities in the context of WP7.
List of participants:
|2||UNIVERSITY OF LEICESTER||UK|
|4||BRUNEL UNIVERSITY LONDON||UK|
|5||ASSOCIATION ISEP – EDOUARD BRANLY||FR|
|6||RUNEL NGMT LTD||IL|
|7||UNIVERSITY OF THE WEST OF SCOTLAND||UK|
|10||ROBERT BOSCH GMBH||DE|
|11||FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.||DE|
|13||THALES SIX GTS FRANCE SAS||FR|
|14||TELEKOM DEUTSCHLAND GMBH||DE|