S05: Symposium on Digital Twins for Future Networks

SYMPOSIUM ORGANIZERS

• Ala Al-Fuqaha, Hamad Bin Khalifa University, Qatar
• Wen Wu, Peng Cheng Laboratory, China

SCOPE AND MOTIVATION

Digital Twins (DTs) technology allows the creation of virtual replicas of physical assets, systems, or processes. These replicas can provide a real-time view of the assets' behavior and performance. The virtual representation is created using real-time data collected from sensors, cameras, and other devices, which is then used to simulate the behavior of the physical systems and predict their performance. DTs technology has the potential to play a significant role in shaping future networks in support of various industries, including telecommunications, intelligent transportation systems, Smart Cities, etc. With the support of network virtualization and digitization, future wireless networks motivated the emergence of DTs technology as one of the key enabler technologies with the aim of achieving high energy efficiency, ultra-reliable communications, and low latency. Therefore, DT is envisioned as a seed technology for the efficient deployment of zero-touch, fully automated, and intelligent future networks, in which AI/ML algorithms will be used in the digital realm to enable virtualized network operation and monitoring. 

The main goal of this Symposium is to address the challenges of developing DTs in future networks and present advanced and innovative tools, techniques, and algorithms for emerging applications and services.

TOPICS OF INTEREST

This symposium seeks high-quality and innovative submissions on a wide range of research topics, spanning both theoretical and systems research, including results from industry and academic/industrial collaborations, related but not restricted to the following topics:

• DT open interfaces, architectures, protocols, and standards for emerging future networks
• Integration of DT technology and Metaverse
• DT for smart cities
• DT for Internet of Vehicles and Software-Defined Vehicles technologies and applications
• DT for high-frequency wireless networks
• DT for intelligent surface-assisted wireless networks
• DT for zero-touch networks
• The interplay of DT and machine learning in emerging wireless networks
• DT for intent-based networking, intelligent transportation systems, vehicular networks, and secure access service edge
• DT for Industrial Internet of Things 
• Blockchain and distributed ledger technology trust-based mechanisms in DTs beyond 6G recent developments and future perspectives on DTs in emerging IoT applications (i.e., smart cities, smart grids, metaverse, AR/VR, UAV, robotics, healthcare, smart farming, logistics, supply chain, and manufacturing, etc.)
• DTs data management, ontologies, design, modeling, and simulation
• 6G-powered DTs for admission control, network slicing, management, and monitoring
• DT-based optimization in 6G networks
• Integration of DT and machine learning in 6G networks
• DT-based AI/ML-powered closed-control loops beyond 6G networks
• Emerging cloud, fog/edge, and cognitive aspects of DTs beyond 5G/6G systems
• Cybersecurity for DT protection
• Threat modeling in DT-based applications and scenarios
• Trustworthy DTs interoperability and communications

 

Symposium Paper Submission

All papers should be submitted via EDAS, Symposium on Symposium on Digital Twins for Future Networks track. Full instructions on how to submit papers are provided on the IEEE FNWF 2023 website: https://fnwf2023.ieee.org/information-authors