Digital Twin For Wireless Communication

Digital Twin (DT) in wireless communication refers to a high-fidelity virtual replica of a physical communication environment that enables real-time monitoring, analysis, and optimization of wireless systems. By bridging the physical and digital domains, DTs provide significant advantages such as predictive system behavior, performance enhancement, rapid prototyping, and reduced testing costs. At CCSL, we are developing DT frameworks across various scenarios, including both indoor and outdoor wireless environments, with a particular focus on real-time DT implementations. Our research also extends to DT-aided reconfigurable intelligent surfaces (RIS), where DTs play a critical role in validating RIS concepts, optimizing deployment strategies, and accelerating system evaluation.

Projects

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Digital Twin For Indoor Scenario

In indoor wireless scenarios, Digital Twin enables the accurate modeling of complex environments, such as offices, factories, and smart homes, allowing for the real-time optimization of coverage, interference management, and seamless connectivity for IoT devices. IT supports applications like intelligent building management, immersive AR/VR, and industrial automation. At CCSL, we investigate two specific indoor DT scenarios: digital twin–aided beamforming design and digital twin–aided blockage prediction/detection for MIMO systems. Experiment Description Digital Twin (DT) technology enables
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Digital Twin For Outdoor Scenario

In outdoor scenarios, DTs provide large-scale virtual replicas of urban or rural networks to optimize base station placement, manage mobility, and enhance vehicular or drone communications. These advantages make DTs a powerful tool for improving reliability, efficiency, and adaptability across diverse wireless environments. At CCSL, we investigate two specific DT scenarios for outdoor wireless cellular networks: digital twin–aided beamforming design and digital twin–aided blockage prediction/detection for MIMO systems. Experiment Description Digital Twin (DT) technology enables the accurate

Digital Twin For RIS-Aided Systems

The practical deployment of reconfigurable intelligent surfaces (RIS) faces significant challenges in accurate modeling and seamless integration. Traditional analytical approaches often rely on idealized assumptions, which limits their ability to capture the complexity of real-world environments. At CCSL, we leverage Digital Twin (DT) technology to create high-fidelity representations of practical scenarios, enabling more realistic analysis and bridging the gap between theoretical models and real-world RIS implementations. Introduction Beyond 5G networks are expected to deliver ultra-reliable

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