Wireless Communication

The CCSL advances next-generation wireless communication through a synergistic combination of theory, system design, and artificial intelligence. Our research explores digital twin frameworks for both indoor and outdoor wireless scenarios, enabling real-time system monitoring, optimization, and predictive analysis. We leverage multimodal sensing to enhance situational awareness and resilience, while reconfigurable intelligent surface (RIS)-aided localization pushes the boundaries of positioning accuracy. In integrated sensing and communication (ISAC), the lab investigates fundamental theory and develops novel multiplexing techniques to balance communication and sensing performance. A key research thrust focuses on the integration of artificial intelligence (AI), across wireless applications, from resource allocation to network optimization. We also address near-field communication challenges such as concept validation, codebook design, and channel estimation. Furthermore, CCSL is actively engaged in the design and evaluation of AI-driven radio access networks (AI-RAN) and open RAN (O-RAN), laying the groundwork for intelligent, adaptive, and interoperable future networks.