Digital Twin and Pervasive Intelligence for Sensing, Communication, and Computing in Next-Generation Wireless Systems

Emerging paradigms such as Digital Twin (DT) and Pervasive Intelligence (PI) are redefining the capabilities of next-generation wireless systems by intelligently managing sensing, communication, and computing. These technologies are particularly impactful in dynamic wireless environments where real-time responsiveness, contextual awareness, and autonomous adaptation are critical. At the heart of this evolution is the integrated sensing, communication, and computing (ISCC), which serves as a foundational enabler for unified data acquisition and transmission. However, deploying such an integrated solution in highly dynamic and resource-constrained systems introduces multifaceted challenges, ranging from maintaining robust connectivity under fluctuating network topologies and environmental interference to managing massive streams of sensor data efficiently across distributed edge devices. To address these issues, DTs offer real-time virtual representations of physical systems that support simulation, prediction, and optimization. Meanwhile, PI applies context-aware distributed artificial intelligence (AI) and adaptive algorithms to dynamically manage network demand, resource allocation, and operational parameters. The synergistic integration of DT and PI for next-generation wireless systems transforms them from reactive entities to proactive and self-optimizing ecosystems, delivering improved efficiency, reliability, and scalability. Despite these advantages, integrating DTs and PI into next-generation sensing, communication, and computing infrastructures brings new technical and architectural challenges. These include the accurate modeling and synchronization of virtual-physical systems, scalable edge computing frameworks, real-time data processing, and cross-domain interoperability. Tackling these issues calls for novel frameworks, protocols, and methodologies to ensure cohesive operations across physical and digital layers.

This workshop aims to explore advanced techniques, architectures/frameworks, and applications for incorporating DT and PI into next-generation wireless systems. It seeks to foster multidisciplinary collaboration and highlight innovative research that pushes the frontiers of developing next-generation intelligent wireless solutions, with emphasis on energy/transmission/computing efficiency, ultra-reliable low-latency communication (URLLC), intelligent computing at the edge, and increased automation/adaptability/scalability. Topics of interest include, but are not limited to: