Deliverables

Mir Ghoraishi (Gigasys Solutions)

D1.1 contains information about the internal organisation of the consortium and the work procedures for all partners. It contains instructions for the collaboration tools as well as management responsibilities.

Oscar Adamuz-Hinojosa (University of Granada)

D6.1 provides the plan for the rest of the project with respect to the dissemination actions and an initial plan for the exploitation activities and reporting on the establishment of the External Advisory Board.

Miguel Granda Trigo (Bosch Spana)

D2.1 reports the use cases taken as reference for the project, and that will guide the design, development, and demonstration activities conducted in the project. D2.1 will provide design specification of selected use cases and derive their functional and technical requirements.

Mir Ghoraishi (Gigasys Solutions)

D1.2 contains the status and strategy of the project in regard to the data management and GDPR and will evolve during the lifetime of the project. Special emphasis will be provided in publishing Open Access (OA).

Antonio Garcia (Accelleran), Tezcan Cogalan (University of Edinburgh)

5G-CLARITY D3.1 introduces the state-of-the-art technologies on integrated network coexistence, multi-connectivity, resource management and positioning. It also describes the initial design of the integrated 5G/Wi-Fi/LiFi network frameworks that provides, i) coexistence and cooperation between private and public networks operating in licensed as well as unlicensed bands; ii) multi-connectivity to different WATs; iii) enhancements on aggregated system area capacity through intelligent resource management; and iv) cm-accuracy on indoor positioning.

Jose Ordonez-Lucena (TID)

This document dives into the initial architecture design of the 5G-CLARITY system, which is architected into four different strata, with segregated scope and different technology pace each: infrastructure stratum, network and application function stratum, management and orchestration stratum, and intelligent stratum. The main contributions are on describing and categorising 5G-CLARITY technical innovations, explaining the business ecosystem and the actor role-models, 5G-CLARITY system requirements, the baseline architecture design, and the insight into the integration of private and public networks.

Daniel Camps-Mur, Hamzeh Khalili (i2CAT)

The main contribution of this deliverable is a state-of-the-art analysis and an initial design for the main components of two stratums of the 5G-CLARITY architecture as defined in 5G-CLARITY D2.2, namely the Management and Orchestration stratum and the Intelligence stratum. Regarding the former, this deliverable defines in detail the Service and Slice management subsystem and the Data Processing subsystem, and on the latter, the deliverable identifies Machine Learning use cases that are enabled by the 5G-CLARITY system and provides an initial design for the AI Engine and Intent Engine components. Overall, this document presents the main Management Plane innovations that will be developed in 5G-CLARITY.

Mir Ghoraishi (Gigasys Solutions)

This document is the 5G-CLARITY interim report. The project was kicked off in November 2019, and this report covers the period up to December 2020. It starts with a summary of the progress on the technical work, organized in four technical work packages. The report then provides updates on the project’s dissemination activities, either in publication and public presentation of the project results, or in contributions to standardizations. The project’s management and administration aspects are also covered in this deliverable.

Mir Ghoraishi (Gigasys Solutions)

The primary aim of 5G-CLARITY deliverable D5.1 is to provide the guideline for the project use cases implementations and demonstrations. 5G-CLARITY Smart Tourism and Industry 4.0 (Smart Factory) pilots are formulated in three use cases as: i) UC1: ‘Enabling enhanced human-robot interaction’ (Smart Tourism); ii) UC2.1: ‘Alternative network for production-data exchange’ (Industry 4.0); ii) UC2.2: ‘Enhanced automated guided-vehicle (AGV) positioning in intralogistics’ (Industry 4.0).
These use cases are expected to demonstrate the benefits of 5G-CLARITY innovations that are worked out to address the private network challenges, beyond 3GPP Release 16, on coexistence, integration, and interoperation of private and public networks. Among the outstanding challenges in this regard, one could name spectrum management, multiple wireless access technologies (multi-WAT) and multi-tenancy support, software defined networking (SDN) and network function virtualisation (NFV) powered infrastructure slicing, and data-driven network management. Aiming at addressing these challenges, 5G-CLARITY solutions will be implemented and their performances will be evaluated based on the architecture and definitions that are outlined in 5G-CLARITY D2.2, and the corresponding KPIs defined in 5G-CLARITY D2.1.

Juan M. Lopez-Soler (Univeristy of Granada)

The 5G-CLARITY D6.1 includes all the dissemination and communication activities related with the promotion of the 5G-CLARITY project and its results beyond the project own community along the mid-term project execution.

The Communication Section reports on activities carried out that impact project stakeholders and audiences that go beyond the project’s own community, including the general public and the media. The Dissemination Section includes activities related with boosting awareness of 5G-CLARITY results in a technical community working on the same research field. In general, this has been done through publications in high impact journals/magazines, international conferences and participation in technical events. Finally, the Exploitation Section covers activities aiming at using the results in further research activities other than those covered by the project, such as developing, creating and marketing products or processes, creating and providing a service.

Tezcan Cogalan (Interdigital UK)

The 5G-CLARITY D3.2 provides evaluation results and refinements on the design of 5G-CLARITY user and control plane architecture. This document is also aligned with the 5G-CLARITY “network function and application stratum” that covers not only user- and control-plane but also application plane functionality as presented in 5G-CLARITY D2.2 [2].
In essence, 5G-CLARITY D3.2 provides the performance evaluations and refinements for:
• Multi-WAT aggregation: Including 5GNR CU/DU/RU integration, integration of Wi-Fi and LiFi networks as a single non-3GPP network, integration of 3GPP and non-3GPP wireless access technologies (WATs) and assignment of traffic flows via MPTCP;
• 5G-CLARITY eAT3S framework: Including operational flows, initial enhanced access traffic steering, switching and splitting (enhanced AT3S / eAT3S) algorithm design and control plane aspects of the custom MPTCP scheduler;
• Scheduling and resource management: Including Wi-Fi and LiFi airtime-based schedulers and utility-based scheduler to manage different service types;  • Positioning: Including WAT-specific positioning scheme and its performance evaluations, as well as the fusion approach;
• Integrated 5G/Wi-Fi/LiFi network performance evaluation: Including possible access point (AP)/gNB deployment options, achievable communication bandwidths, technology-specific area-capacity achievements and integrated network area-capacity performance.

Jose Ordonez-Lucena (Telefonica)

The 5G-CLARITY D4.2, describes an initial implementation and validation of the 5G-CLARITY system artifacts allowing for user-friendly, zero-touch management of services and slices on private network infrastructures. These artifacts are arranged into two 5G-CLARITY system architecture strata: the Management and Orchestration stratum, and the Intelligence stratum.

On the one hand, the Management and Orchestration stratum encompasses all the necessary functionality to deploy and operate the different 5G-CLARITY services (and associated resources) throughout their lifetime, from their commissioning to decommissioning. On the other hand, the Intelligence stratum is an add-on layer enriching 5G-CLARITY system capabilities with solutions leveraging Artificial Intelligence (AI) and intent based mechanisms.

In addition, D4.2 also serves to launch 5G-CLARITY T4.2: “Integration with E2E 5G slice framework”, which is the first solution design of mechanisms enabling the public-private network integration. This integration, based on the interworking and communication between 5G-CLARITY components of external MNO assets, is addressed into this deliverable into throughout three separate workstreams: i) management capability exposure, which deals with everything related to the external access mediation subsystem from 5G-CLARITY management and orchestration stratum, including the internal design of mediation function and its use for the enforcement of the service delivery models applicable to the in-project pilots; ii) public-private network connectivity, which identifies WAN technology data networking services that can be used for this end, providing a comparative analysis between them in terms of topology, technology, QoS features and cost; iii) distributed AI, which assess the implications of partially migrating AI assets from the private premises to the public cloud for the sake of resource efficiency (e.g. data training is resource-demanding, and not always feasible on a 5G-CLARITY site) and performance gains (e.g. enriching AI engine with data collected from both PLMN and private premises).

Anna Tzanakaki (University of Bristol/IASA)

5G-CLARITY D2.3 provides an initial evaluation of the key features of the 5G-CLARITY system architecture so that its main merits and limitations can be outlined. These include, i) identification of components and features from the system architecture, ii) modelling of selected components and features, relying on theoretical analysis adopting both analytical and numerical models, iii) definition of the evaluation plan, and iv) system architecture evaluation.

Rui Bian (pureLiFi)

5G-CLARITY D6.7 summarises the exploitable outcomes from the project with classifications into different categories. The methodologies for analysing these exploitable outcomes are described and the updated individual exploitation plans are presented.