Yihang Huang
Chongqing University of Posts and Telecommunications, China
Yihang Huang is a faculty member at Chongqing University of Posts and Telecommunications, China. He previously worked as a postdoctoral researcher at Shanghai Jiao Tong University and as a research scientist at Bell Labs (China). His research interests include intelligent wireless communications, broadcast and multicast transmission, and channel measurement and modeling for low-altitude communications. He has authored more than 60 research papers and holds multiple granted patents. He has also been involved in research projects on next-generation wireless networks, UAV communications, and intelligent radio systems, and serves as a TPC member and session chair for major IEEE communications conferences.
The rapid development of low-altitude aerial applications is creating new demands for wireless networks that can operate reliably under highly dynamic propagation, mobility, and mission conditions. This talk presents our recent studies toward intelligent communication technologies for low-altitude UAV networks, following a progression from understanding the wireless environment to task-oriented information exchange and adaptive radio transmission. We first discuss measurement-based characterization of non-stationary urban air-to-ground channels and show how propagation knowledge can be integrated with data-driven models for more efficient channel prediction and representation. We then move from channel intelligence to cooperative intelligence, introducing a tokenized semantic communication perspective for multi-UAV cooperative exploration, where communication is more closely coupled with the underlying mission. Finally, we consider intelligent multicast transmission under dynamic radio conditions. This includes learning-based resource allocation for spectrum-aggregated aerial multicast systems and our recent investigation of fluid/movable-antenna-enabled air-to-air multicast, where delayed receiver-pose information and pose uncertainty motivate predictive and risk-aware beam adaptation. Together, these studies illustrate a cross-layer evolution of low-altitude wireless networks from passive channel adaptation toward environment-aware, task-oriented, and physically reconfigurable intelligent communications.