The IN project aims to support the Italian automation industry by pursuing interdisciplinary theoretical and applied research for communication networks in industrial environments, with both a medium and long-term vision. This will be achieved by exploring both legacy and new technologies supporting the stringent requirements characterizing industrial use-cases and that sometimes cannot be fulfilled by 5G but need to follow the 6G standardization.

IN is part of Spoke 5 – Industrial and Digital Transition Networks 

Project PI: Roberto Verdone

The IN project has identified the five reference Industrial Use Cases (UCs) that set the general research framework of all activities and has defined the internal procedure to possibly introduce other UCs in the future.

 

These 5 UCs refer to current and future industrial applications like motion controllers, process monitoring, mobile control panels, mobile robots and plant asset management and arise from detailed discussions with the Italian Manufacturing Industry, as well as analysis of standard documentation.

 

Moreover, within the project, an initial group of 23 research activities have been defined with clear goals. They aim to produce scientific results, in the form of publications, patents, and demonstrators to validate the telecommunication role in industrial environments.

 

Five deliverables have been released so far, two of which are dedicated to the definition and characterization (requirements, key enabling technologies, etc.) of the UCs, whereas the other two include a first set of theoretical results coming from the 23 activities and the last one is the first deliverable summarizing the dissemination activities of the project (social network posts, meetings, conference speeches, etc.).

 

However, the project has also provided an important contribution to the expected facilities of the Spoke 5 laboratory that will be built, to support the development of industry-relevant and 6G-oriented proof-of-concepts.

 

The project is starting the definition phase of a first Proof-of-Concepts that will be realized in synergy with the MOSS project and will be held at Villa Griffone.

The main outcomes of interest as of today for the IN project are:

  1. the identification and characterization (in terms of description, requirements and key enabling technologies) of 5 Industrial Use Cases (UCs)
  2. kick-off of 23 interdisciplinary research activities
  3. submission of the five deliverables concerning a detailed description of the chosen UCs, an overview on the technological evolution of industrial networks towards 6G, and a first set of theoretical results coming from the 23 activities, as well as a report on the dissemination activities of IN
  4. submission of a first set of scientific publications
  5. submission of an innovation idea to the corresponding RESTART mission 3
  6. definition of the expected facilities of the Spoke 5 laboratory that will include, among others, drones, automated guided vehicles, reconfigurable intelligent surfaces, and high-frequency instrumentations for radio signal characterization
  7. discussions with 2 Italian Industry Consortia to promote the project activities
  8. realization of 1 webinar with an external stakeholder of the manufacturing world (others will follow), and
  9. recording of 7 video pills to disseminate the activities of the project to a broad audience
  10. organization of a special session related to the topic of the project during the "IEEE Metrology for Industry 4.0 & IoT” conference
  11. organization of a one-day workshop together with three other European projects (TIMES, 6G-SHINE and TERRAMETA) where the main activities of the four projects have been presented via technical speeches.
In a nuthshell, outcomes (i), (ii), (iii), (iv), (x), (xi) can be considered “Scientific”, whereas (i), (v), (vi), (vii), (viii), (ix) can be considered “Industrial/Exploitable”. In terms of innovation results, the most significant contribution from the IN project are:
  1. Network architectures that are secure by design: By leveraging federated learning frameworks, where industrial devices learn to perform tasks in a distributed manner, and by incorporating corresponding entities into the network architecture (e.g., the parameter server), data communication can be limited to the transmission of AI models rather than raw data, thus enhancing data security.
  2. Industry-relevant theoretical and experimental activities: Following extensive discussions with industrial companies and internal brainstorming sessions, the project has identified five key use cases of interest: Control-to-Control among motion controllers, process monitoring, mobile control panels, mobile robots in intra-building environments, and mobile robots and plant asset management/control in outside-building environments. The project's activities are focused on driving innovation in these applications, with also the goal of developing five Proofs of Concept (PoCs) to test the potential of various theoretical ideas in real-world settings. The PoCs will showcase data analysis algorithms, multi-technology localization techniques, high-frequency radio links, and the interplay between AI and 5G;
  3. Network of Digital Twin: The project leads the proposal to explore the integration of Network Digital Twins (NDTs) into existing telecommunications infrastructure, leveraging advanced modeling, simulations, and analytics techniques to enable automatic processes to enhance operational efficiency, resilience, and decision-making procedures. The data measured from the network (the observed real system) can include geographical/geometric data, channel models, network node characteristics, Key Performance Indicators (KPIs), MDT (Minimization of Drive Tests) data, Key Value Indicators (KVIs), and other. The project will focus on developing a comprehensive framework for creating and managing NDTs, encompassing aspects such as data acquisition, model construction, synchronization, and visualization. The NDTs will provide an accurate representation of the network, enabling features such as proactive monitoring, predictive maintenance, and optimization strategies. Additionally, the project will investigate the intertwinement of NDTs with other DTs, such as those representing physical assets (e.g., in industry plants, or cities) or environmental conditions. Finally, testbeds envisioning the integration of the NDT concept with O-RAN architectures will be developed. The availability of precise and up-to-date 'open data' platforms will facilitate cost optimization and collaboration across application domains and stakeholders.
  4. 6G-oriented lab equipment: The project has actively contributed to identifying the potential equipment that can enhance the Spoke laboratory in Bologna for 6G-like experiments. This includes UAVs, mobile robots, signal generators, signal acquisition instruments, vector network analyzers (VNA), and more.
In terms of innovation results, the most significant contribution from the IN project are:
  1. Importance-aware scheduling: Within a federated learning framework, the project is developing intelligent algorithms to schedule user equipment (UEs) based on the "importance" of the AI models they transmit to the parameter server. This approach aims to maximize performance metrics such as accuracy and convergence time.
  2. End-to-end analysis of industrial networks: The project is conducting end-to-end round-trip-time (RTT) evaluations, encompassing all elements of an industrial network. This includes the processing times of devices, the latency introduced by the 5G Radio Access Network (RAN) and the 5G Core Network (CN), and the inference time of Deep Neural Network (DNN) algorithms. These evaluations aim to determine whether the performance provided by five different 5G network architectures and different scheduling algorithms are sufficient for industrial safety-critical applications.
  3. Full-stack end-to-end simulations: The project is developing a comprehensive full-stack end-to-end simulator to assess the performance of mobile radio networks for industrial applications. Different research activities are using the same simulator tools. This approach involves defining application-specific KPIs, channel, traffic, and mobility models, network protocols and architectures, AI tools, and software-defined approaches. If the results are promising, this tool may be proposed to the entire Italian research and industrial community as an open-source platform.
  4. THz communications: The project is evaluating the role of THz-based wireless communications in industrial environments, focusing on new waveforms that can cope with the intrinsic impairments of this band (e.g., phase noise), physical layer security, channel modeling, and radio planning. Significant modifications are required due to the inclusion of new network elements called Intelligent Reflective Surfaces (IRS) that should be properly configured to reshape the radio channel.
As evident, the project is multidisciplinary with the primary goal of significantly impacting the Italian automation industry. Hence, the societal target is the industrial ecosystem, where the introduction of mobile radio technologies, infrastructures, algorithms, and procedures can minimize downtimes, enhance efficiency, security, and performance of the entire industrial plant, thereby increasing revenues.  

Papers:
An End-To-End Analysis of Deep Learning-Based Remaining Useful Life Algorithms for Satefy-Critical 5G-Enabled IIoT Networks, Lorenzo Mario Amorosa, Nicolò Longhi, Giampaolo Cuozzo, Weronika Maria Bachan, Valerio Lieti, Enrico Buracchini, Roberto Verdone, The 2023 Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC 2023)  

Dynamic MEC Resource Management for URLLC in Industry X.0 Scenarios - a Quantitative Approach Based on Digital Twin Networks, Marco Becattini, Laura Carnevali, Giovanni Fontani, Leonardo Paroli, Leonardo Scommegna, Maryam Masoumi, Ignacio de Miguel, Fabrizio Brasca, Metrology for Industry4.0 & IoT (METROIND) 2024  

A Macroscopic Ray-based Model for Reflective Metasurfaces, E.M. Vitucci, M.Albani, S.Kodra, M. Barbiroli, V. Degli-Esposti, 24th edition of the International Conference on Electromagnetics in Advanced Applications (ICEAA 2023), 9-13 October 2023 in Venice, Italy. 
The project is extremely active in including industrial partners in its activity. In particular, the following actions were taken:
  1. The Cascade Call for the project, titled Technologies, Algorithms, and Protocols for Use Cases of Industrial Networks (TAP-IN), was meticulously designed to include 4 industrial partners and 3 academic centers. IN aims to actively involve industrial partners in shaping both theoretical frameworks and experimental activities. Additionally, TAP-IN will incorporate another industrial partner through a specific agreement to support the development of Proof of Concept (PoC).
  2. The unique industrial partner, TIM, has been involved since the inception of IN to provide: (i) suggestions, indications, and guidelines for all theoretical activities; (ii) participation in dissemination activities; (iii) selection of contributions that could influence the evolution of the 3GPP standards; and (iv) promotion, support, and contribution to the Digital Twin proposal.
  3. Organization of webinars featuring invited speakers from the industry world (Birex, Robopac-Aetna, Huawei)
The IN project aims to support the Italian automation industry through interdisciplinary theoretical and applied research in communication networks for Industry 4.0. This involves exploring legacy and new technologies to meet industrial use-case requirements, sometimes beyond 5G to 6G standardization. Demonstrators will illustrate 6G benefits for industry workflows and applications. Currently, primary industrial use cases have been outlined, driving research with 44 publications generated. Discussions with Italian Industry Consortia show interest in results. Dissemination efforts include international conference presentations, informative videos, and webinars. Future plans involve expanding activities and showcasing fourth industrial revolution potentials through ideas, algorithms, processes, and prototypes.

Publications

  • Expected: 36
  • Accomplished: 33
  • Readiness level: 235,71 %

Joint Publications

  • Expected: N/A
  • Accomplished: N/A
  • Readiness level: N/A

Talks/Dissemination Events

  • Expected: 6
  • Accomplished: 3
  • Readiness level = 128,57 %

Realizing Demo/PoCs

  • Expected: 6
  • Accomplished: 0
  • Readiness level = 0 % (as expected)

Project Meetings

  • Expected: 12
  • Accomplished: 10
  • Readiness level = 214,29 %

Patents/Innovations 

  • Expected: 1
  • Accomplished: 1
  • Readiness level = 257,14 %

Open-source contributions

  • Expected: 0
  • Accomplished: 0
  • Readiness level: 0 %

Standardization contributions

  • Expected: 0
  • Accomplished: 0
  • Readiness level: 0 %

Other project KPIs:
  • Editing journal special issues Expected: 3 Accomplished: 0 Readiness level = 0 %
  • Workshop Organization Expected: 3 Accomplished: 1 Readiness level = 80 %
  • Organizing PhD School Expected: 2 Accomplished: 0 Readiness level = 0 %
  • Experimental Trials Expected: 15 Accomplished: 0 Readiness level = 0 %
  • Start-Up Expected: 1 Accomplished: 0 Readiness level = 0 %
  • Contributing to Education & Training initiatives Expected: 15 Accomplished: 1 Readiness level = 16 %
  • Recording Video Clips Expected: 15 Accomplished: 7 Readiness level = 112%
  • M1.1 Identification of use-cases and requirements Expected: 1 Accomplished: 1 Readiness level = 100 %
  • M7.1 Definition of outdoor PoC Expected: 1 Accomplished: 1 Readiness level = 100 %
  • M5.1 Availability of informative data Expected: 1 Accomplished: 0 Readiness level = 0 %
  • M7.2 Availability of HW/FW platform for outdoor PoC Expected: 1 Accomplished: 0 Readiness level = 0 %
  • M3.1 Definition of network planning for IN Expected: 1 Accomplished: 0 Readiness level = 0 %
  • M4.1 Definition and validation of multi-purpose radio access protocols Expected: 1 Accomplished: 0 Readiness level = 0 %
  • M7.3 Definition of indoor PoC Expected: 1 Accomplished: 0 Readiness level = 0 %
  • M2.1 Exhaustive simulations of O-RAN in IN Expected: 1 Accomplished: 0 Readiness level = 0 %
  • M6.1 Definition and validation of RF design for IN Expected: 1 Accomplished: 0 Readiness level = 0 %
  • M7.4 Availability of HW/FW platform for indoor PoC Expected: 1 Accomplished: 0 Readiness level = 0 %

Collaboration proposals:

The IN project covers a broad set of topics in the field of the Industrial Internet of Things (IIoT), and a non-exhaustive list is given below:

  • Mobile Radio Network Architectures and Optimizations
  • Apply Artificial Intelligence for Wireless Communications
  • Network planning
  • Data analysis
  • Implementation of Wireless Power Transfer techniques
  • Design of Radio-over-Fiber solutions
  • Development of Proof of Concepts

Therefore, we continuously seek collaborators, such as industry stakeholders, PMIs, and consortia who can share their needs, expertise and vision to further elaborate the telecommunication role for the Italian Manufacturing sector. Moreover, we envisage synergies with other telecommunication actors, such as network operators, manufacturers, universities, and R&D centers, to integrate their competencies into our works or define innovative theoretical or applied research trends. Within the RESTART program, our project is finding synergies with SUPER, SERICS and 6G-WINET projects.


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