The convergence of Artificial Intelligence, digital twin technology, and 6G networks marks a transformative phase in telecommunications, with 6G expected to launch commercially by 2030. This integration represents a paradigm shift in network infrastructure management, offering unprecedented intelligence, efficiency, and adaptability. As global connectivity demands grow, 6G aims to surpass 5G by leveraging AI and digital twins to enable real-time monitoring, predictive analytics, and autonomous decision-making. These advancements promise to revolutionize how networks are designed, operated, and optimized, paving the way for smarter and more resilient systems. This workshop addresses the increasing industry demand for expertise in AI-driven network management and digital twin technologies while fostering interdisciplinary collaboration among AI, telecommunications, data science, and cybersecurity experts. By exploring cutting-edge concepts in network orchestration, it aims to lay the foundation for future-proof architectures that can adapt to emerging technologies and evolving user needs. The potential applications of AI-enhanced 6G networks are vast, spanning critical sectors such as healthcare, where real-time data processing can enable remote surgeries and personalized medicine; smart cities, where intelligent infrastructure can optimize energy use and traffic flow; and autonomous systems, where ultra-reliable, low-latency communication is essential for safety and efficiency. These applications highlight the importance of advancing these technologies to address future societal challenges.
Additionally, the workshop provides a platform to discuss the regulatory frameworks and standardization efforts necessary for the responsible development of 6G networks. As these technologies evolve, addressing ethical considerations such as data privacy, security, and equitable access is crucial to ensure that the benefits of 6G are widely distributed. By bringing together diverse stakeholders, including industry leaders, researchers, policymakers, and innovators, this event serves as a catalyst for innovation. It aims to shape the future of connectivity, driving transformative applications that will define the next era of telecommunications and empower societies to tackle global challenges with cutting-edge solutions.
Digital twin fundamentals: Concepts, architectures, and use cases in telecommunications
Synergies between AI, digital twins, and 6G networks.
AI algorithms for real-time network monitoring and prediction.
Self-healing and self-optimizing networks enabled by AI.
Network modeling and simulation using digital twins.
Predictive maintenance and fault detection in 6G infrastructure.
Digital twins for network slicing and resource allocation.
Digital twins for O-RAN
Quantum computing for digital twins in 6G era
The workshop "AI-Driven Digital Twin Orchestration for 6G Networks: Paving the Way for Future Connectivity " will feature a compelling and engaging format designed to foster intellectual exchange, collaboration, and innovation. Participants can immerse themselves in various activities, including captivating keynote speeches, thematic technical sessions, a thought-provoking panel discussion, a visually engaging poster session, and dedicated networking opportunities. This immersive format will facilitate in-depth exploration of the intersection of Digital twin, 6G technology and AI, enabling attendees to share knowledge, tackle challenges, and form meaningful connections with researchers, practitioners, and industry experts. By the end of the workshop, participants will have a deeper understanding of how 6G can unlock new possibilities for AI and how the two technologies can shape the future of connectivity and computation. The submitted papers should follow the IEEE Format as follows:
Papers due: 5 June 2026
Acceptance notification: 8 July 2026
Camera-ready version due: 1 August 2026
Workshop Date: 1–4 September 2026
We are currently accepting paper submissions for position, review, or research articles in two formats: full papers (up to 6 pages). All submissions will undergo peer review, and authors will have the option to publish their work in the conference proceedings site.
Submission Link
Gia Khanh Tran (Institute of Science Tokyo, Japan)
Sherief Hashima (RIKEN-AIP, Japan)
Hamada Rizk ( Osaka University, Japan)
Tao Yu ( Institute of Science Tokyo, Japan)
For further details, contact us at khanhtg@mobile.ee.titech.ac.jp