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5G-DIVE: eDge Intelligence for Vertical Experimentation

Periodic Reporting for period 2 - 5G-DIVE (5G-DIVE: eDge Intelligence for Vertical Experimentation)

Período documentado: 2021-04-01 hasta 2021-12-31

5G-DIVE targets end-to-end 5G trials aimed at proving the technical merits and business value proposition of 5G technologies in two vertical pilots, namely (i) Industry 4.0 and (ii) Autonomous Drone Scout. These trials will put in action a bespoke end-to-end 5G design tailored to the requirements of the applications targeted in each vertical pilot, such as digital twinning and drone fleet navigation applications. 5G-DIVE’s bespoke design is built around two main pillars, namely (1) end-to-end 5G connectivity including 5G New Radio, Crosshaul transport and 5G Core, and (2) distributed edge and fog computing integrating intelligence located closely to the user. The latter pillar extends significantly beyond the EU- TW-Phase-I 5G-CORAL solution framework by adding support for automation based on artificial intelligence and distributed ledger technologies. The targeted intelligent tailored design is envisioned to achieve optimized performance and thus boost significantly the business value proposition of 5G in each targeted vertical application. 5G-DIVE trials target pilots running for several weeks on the premises of the vertical applications in real-life testbeds in Europe and Taiwan, leveraging noticeably the European 5G end- to-end facilities from ICT-17 call and Taiwan’s testbed facilities.
During the first period the work has been focused on developing a baseline architecture able to meet all the requirements from the identified use cases. First, WP1 has focused on the development of such architecture (can be seen in an attached Figure). The architecture has been derived based on the requirements from the use cases and their mapping to already defined EFS and OCS designs (from 5G-CORAL) and current standardization trends. The benefits of such an architecture have been evaluated in economic terms in a Techno-economic analysis for the two use cases' families developed within 5G-DIVE. Second, WP2, in charge of the main innovations of the project, has been focused on developing enhancements on 3 different levels: i) the connectivity substrate, ii) the DEEP platform and iii) the Intelligence engines. In the connectivity substrate, the main innovations have been built around two key concepts, a novel optical interconnection of data centers, reducing the latency at the Edge (OPTUNS) and the use of MEC concepts in extreme edge devices, following the current discussion in the ETSI MEC in constraint devices study item. These innovations have been taken to real scenarios in WP3, where initial implementations of I4.0 use cases (Digital Twin, Zero defect manufacturing and massive Machine Type Communications) and of the Autonomous Drone Scouting (ADS) use cases have been initially tested.
The project aims at contributing to the state of the art in the following areas:
- Develop and validate through trials end-to-end 5G connectivity customized to the targeted vertical applications in their actual deployment environments.
- Identify gaps and develop technical solutions for enhancements of current 3GPP 5G releases for best support of the targeted vertical applications.
- Extend the 5G-CORAL platform with new functions, services, and applications, as well as mobility and volatility management, and synchronization and chaining to support the vertical applications targeted in 5G-DIVE.
- 5G-DIVE will augment the edge with OPTUNS next generation datacenter technology and explore its applicability to physically distributed and cooperative fog deployment.
- 5G-DIVE will leverage DLT and AI techniques and tools to enhance the orchestration and control functions such as federation, orchestration, and enforcement of SLAs.
- 5G-DIVE will design and validate novel CNN convolutional and pooling layers to help achieve high precision and low latency pattern recognition for the targeted applications.
- 5G-DIVE will explore novel approaches for interoperability amongst heterogeneous intelligence agents and design a novel DRL scheme to help achieve optimal balancing and leveraging of the computing load and power across the different computing tiers.

In addition, the expected impacts of the project are the following:

- Validation of core 5G technologies and architectures in the context of specific vertical use cases.
- Leverage cooperation towards industrial consensus between Europe and Taiwan on 5G key aspects such as standard, spectrum, architecture and interoperability.
- Accelerate the pre-commercialization trials of the use cases introduced by IMT-2020 (eMBB, mMTC, URLLC).
Main architecture of the project