IEEE ICC 26 TwinNetApp Workshop

Digital Twin (DT) technology has emerged as a critical enabler for next-generation communication networks. Regarding this, DTs provide real-time synchronization between physical and digital systems and support advanced monitoring, emulation, and optimization capabilities. By bridging the physical and virtual domains, DTs provide novel approaches to design, analyze, and operate complex infrastructures that go far beyond traditional simulation methods. Real-time network monitoring, predictive modelling, proactive management, and what-if simulation are significant examples that highlight DT’s potential in the communication domain and beyond. When combined with next-generation mobile communications (5G/6G), Artificial Intelligence (AI), Generative AI (GenAI), Internet of Things (IoT), Transfer Learning (TL), Augmented Reality (AR), Virtual Reality (VR), Edge/Fog Computing, federated architectures, and microservice-based platforms, DT becomes a foundation to guarantee latency-sensitive, energy-efficient, and secure services. These synergies create opportunities for sustainable and scalable solutions in diverse sectors, from smart cities and agriculture to healthcare, manufacturing, and autonomous systems. This workshop invites original contributions that address all aspects of DT networks, systems, and applications, including theoretical models, system architectures, optimization methods, security mechanisms, and real-world testbeds. By bringing together academia, industry, and standardization bodies, the workshop aims to establish a cross-disciplinary forum to explore the transformative role of DT in shaping sustainable, intelligent, and connected communication infrastructures.