IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
13–16 September 2021 // Virtual Conference // By 6G Flagship

Special Session

Communication and networking algorithms for cyber-physical systems in Industry 4.0

The Internet of Things (IoT) together with 5G and other communication technologies are creating a new structure of awareness –a cybernetic one –upon physical processes. Industries of different kinds are expected to join soon this revolution, leading to the so-called Factories of the Future or Industry 4.0. This workshop is focused on the advances of IoT-based industrial cyber-physical systems (CPS). Contributions are expected around the following topics:

  1. Large data acquisition and transmission: This thread is related to how data is acquired, stored, pre-processed and transmitted at the sensors’ side. This involves, for instance, event-driven (non-periodic) techniques for signal processing, communications and control. Also, contributions related to new wireless networks (e.g., 5G and beyond) that are designed to supersede (or complement) wired solution are especially welcome.
  2. Big data fusion: The focus is on algorithms employed by intelligent nodes based on machine learning techniques (e.g. data clustering, pattern recognition, neural networks). Contributions are expected to provide new techniques and insights of how to convert the received multi-stream raw or pre-processed data generated by different sources to useful information to guide short-term operational decisions related to the physical processes.
  3. Big data analytics: The target here is how the already fused data can be further processed to, for example, detect operational failures, diagnose potential malfunctioning, or predict unexpected events. Contributions are expected in machine learning techniques for detection and prediction, data visualization, and actuation response mechanisms.

This special session utmost goal is to strengthen the still weak link between specialists in communications and the actual industrial communication needs, indicating more efficient solutions.

We had organized the same special session in PIMRC’20.


Dr. Pedro Nardelli, LUT University & University of Oulu

Pedro H. J. Nardelli[M’07, SM’19] received the B.S. and M.Sc. degrees in electrical engineering from the State University of Campinas, Brazil, in 2006 and 2008, respectively. In 2013, he received his doctoral degree from University of Oulu, Finland, and State University of Campinas following a dual degree agreement. He is currently Associate Professor (tenure track) in IoT in Energy Systems at LUT University, Finland, and holds a position of Academy of Finland Research Fellow with a project called Building the Energy Internet as a large-scale IoT-based cyber-physical system that manages the energy inventory of distribution grids as discretized packets via machine-type communications (EnergyNet). He leads the Cyber-Physical Systems Groupat LUT, and is Project Coordinator of the CHIST-ERA European consortium Framework for the Identification of Rare Events via Machine Learning and IoT Networks (FIREMAN) and of the project Swarming Technology for Reliable and Energy-aware Aerial Missions (STREAM) supported by Jane and Aatos Erkko Foundation. He is also Docent at University of Oulu in the topic of “communications strategies and information processing in energy systems”. His research focuses on wireless communications particularly applied in industrial automation and energy systems. He received a best paper award of IEEE PES Innovative Smart Grid Technologies Latin America 2019 inthe track “Big Data and Internet of Things”. He is also IEEE Senior Member. More information:


Dr. Nicola Marchetti, Trinity College Dublin

Nicola Marchetti[M’13, SM’15]is Associate Professor in Wireless Communications at Trinity College Dublin, Ireland. He performs his research under the Irish Research Centre for Future Networks and Communications (CONNECT), where he leads the Wireless Engineering and Complexity Science (WhyCOM) lab. He received the PhD in Wireless Communications from Aalborg University, Denmark in 2007, and the M.Sc. in Electronic Engineering from University of Ferrara, Italy in 2003. He also holds an M.Sc. in Mathematics which he received from Aalborg University in 2010. His research interests include Complex Systems Science, Self-Organizing Networks, Signal Processing for Communication, and Radio Resource Management. He has authored in excess of 140 journals and conference papers, 2 books and 8 book chapters, holds 4 patents, and received 4 best paper awards. He is a senior member of IEEE and serves as an associate editor for the IEEE Internet of Things Journal since 2018.


Age of Control Process for Real-Time Wireless Control
Burak Kizilkaya (University of Glasgow, United Kingdom (Great Britain)); Bo Chang (University of Electronic Science and Technology of China (UESTC), China); Shuja Ansari (University of Glasgow, United Kingdom (Great Britain)); Yusuf A. Sambo (University of Glasgow & School of Engineering, United Kingdom (Great Britain)); Guodong Zhao and Muhammad Ali Imran (University of Glasgow, United Kingdom (Great Britain))

Age of Loop for Wireless Networked Control Systems Optimization
Pedro Maia de Sant Ana (Robert Bosch GmbH, Germany); Beatriz Soret and Petar Popovski (Aalborg University, Denmark); Nikolaj Marchenko (Robert Bosch GmbH, Germany)

Information Processing and Data Visualization in Networked Industrial Systems
Pavol Mulinka (Czech Technical University in Prague, Czech Republic); Charalampos Kalalas (CTTC, Spain); Merim Dzaferagic and Irene Macaluso (Trinity College Dublin, Ireland); Daniel Gutierrez (LUT University, Finland); Pedro Henrique Juliano Nardelli (Lappeenranta University of Technology & University of Oulu, Finland); Nicola Marchetti (Trinity College Dublin, Ireland)

Performance Evaluation of Dynamic Computation Offloading Capability for Industrial Wearables
Asad Ali and Olga Galinina (Tampere University, Finland); Jiri Hosek (Brno University of Technology, Czech Republic); Sergey Andreev (Tampere University, Finland)

SOON: Social Network of Machines to Optimize Task Scheduling in Smart Manufacturing
Hatem Ghorbel (University of Applied Sciences of Western Switzerland (HES-SO) Haute Ecole Arc Ingénierie, Switzerland); Jonathan Dreyer (University of Applied Sciences of Western Switzerland, Switzerland); Farid Abdalla (University of Applied Sciences of Western Switzerland, HE-Arc Ingénierie, Switzerland); Vicente Montequín (University of Oviedo, Switzerland); Zoltán Balogh and Emil Gatial (Institute of Informatics, Slovak Academy of Sciences, Slovakia); Ivana Bundinská (Institute of Informatics, Slovak Academy of Sciences, Switzerland); Adrian Gligor (George Emil Palade” University of Medicine, Pharmacy, Science and Technology, Switzerland); Laszlo Barna Iantovics (George Emil Palade University of Medicine, Pharmacy, Science and Technology, Romania); Stefano Carrino (Haute Ecole Arc Ingénierie, University of Applied Sciences and Arts Western Switzerland (HES-SO), Switzerland)