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Bring Reinforcement-learning Into Radio Light Network for Massive Connections

Project description

DEENESFRITPL

The brains behind future dynamic resource allocation for wireless edge connectivity

Not long ago, self-optimising warehouses, self-reconfiguring manufacturing and self-caring agriculture were in the realm of factories and farms of future. Now, before we have even finished rolling out global 5G network connectivity, we have our eyes on the 6G or sixth-generation wireless communications technologies to deal with the explosive growth in demand for high-performance connectivity of often mission-critical applications. Static and permanent physical adaptations in network infrastructure can only get us so far. The EU-funded 6G BRAINS project will develop an AI-driven self-learning platform to intelligently and dynamically allocate resources, enhancing capacity and reliability, and improving positioning accuracy while decreasing latency of response for future industrial applications of massive scale and varying demands.

Objective

Ubiquitous smart wireless connectivity is critical for future large-scale industrial tasks, services, assets and devices. Very significantly improved connectivity needs to be unlocked through novel spectrum combinations and the fully autonomous management of the underlying network resources by applying online AI at multiple decision layers. 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. We propose 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 proposed solution will be validated by proof-of-concept trials. The primary and secondary applications of THz and OWC technologies for a very broad spectrum of scenarios will be validated at BOSCH’s self-contained smart factory. The developed technologies will be widely applicable to various vertical sectors such as Industry 4.0 intelligent transportation, eHealth, etc. In particular, new business opportunities emerging in 6G BRAINS will be identified for follow-up exploitation activities. The results of 6G BRAINS are expected to create a solid basis for future projects and global standardisation for B5G and 6G technologies in areas relevant to industrial environments.

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Programme(s)

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Call for proposal

H2020-ICT-2018-20

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Sub call

H2020-ICT-2020-2

Funding Scheme

RIA - Research and Innovation action

Coordinator

EURESCOM-EUROPEAN INSTITUTE FOR RESEARCH AND STRATEGIC STUDIES IN TELECOMMUNICATIONS GMBH
Net EU contribution
€ 389 250,00
Address
WIEBLINGER WEG 19/4
69123 Heidelberg
Germany

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Region
Baden-Württemberg Karlsruhe Heidelberg, Stadtkreis
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost
€ 389 250,00

Participants (14)

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Last update: 22 January 2024

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Permalink: https://cordis.europa.eu/project/id/101017226

European Union, 2024