Invited Speakers

Dawei Wang, Northwestern Polytechnical University, China

Wang Dawei, Research Fellow and Doctoral Supervisor at the School of Electronic Information, Northwestern Polytechnical University, recipient of the Shaanxi Province Outstanding Doctoral Thesis Award, obtained his PhD in Information and Communication Engineering from Xi'an Jiaotong University in 2018. His research encompasses wireless secure communications, satellite communications, unmanned aerial vehicle communications, and integrated communication-sensing systems. He has published nearly 100 academic papers in these fields, including over 40 in premier communications journals such as TWC, TCOM, and TVT. He holds more than 30 invention patents, both applied for and granted. He has led seven major research projects, including the National Natural Science Foundation of China (NSFC) General Programme, NSFC Young Scientist Programme, National Innovation Special Zone Project, and Shaanxi Provincial Key R&D Programme. As a key contributor, he has participated in national-level equipment pre-research, defence fundamental research, and NSFC projects concerning unmanned swarm systems and wireless reliable communications.

Speech Title: Optimization of Secure Communication and Sensing Systems (ISAC) Supported by Aerial Active Reflective Intelligent Surfaces

This report investigates optimization methods for secure communication and sensing systems (ISAC) assisted by aerial Active Reflective Intelligent Surfaces (ARIS). By introducing super-diagonal RIS technology and combining deep learning with optimization algorithms, the goal is to enhance the security, efficiency, and target localization accuracy of communication systems. First, the study proposes a high-precision target tracking and prediction method by jointly optimizing base station beamforming and RIS reflection coefficients, utilizing Extended Kalman Filtering (EKF) to improve localization accuracy. Secondly, to address non-convex issues, deep reinforcement learning (DDPG) and convex optimization techniques are employed to optimize UAV positioning and enhance information transmission security. Finally, simulation experiments validate the effectiveness of the proposed method in multi-user ISAC frameworks, demonstrating its potential for wide applications in smart cities, low-altitude economies, and other fields.

To be added...