
Wireless innovations Next-generation
Online Workshop (WiNOW)
3-7 November, 2025 // Virtual


Chao Wang
Xidian University
Chao Wang received the B.S., M. S. and Ph.D. degrees, in information and communication engineering from Xi’an Jiaotong University, Xi’an, China, in 2008, 2013, and 2016, respectively. He is currently an Associate Professor with the State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University. His current research interests include 5G&6G wireless networks and key technologies, physical-layer security, covert communications, and deep learning and its application in the optimization of wireless communications . He was a recipient of the Excellent Doctoral Dissertation Award of Shaanxi Province in 2018 and China Institute of Communications in 2016, the Best Paper Awards at the IEEE ICCC 2014 and IEEE SAGC 2020, respectively.
Talk Title: Surface Wave Fluid Antenna Liberating Intelligent Millimeter Wave Covert Communications
Millimeter wave (MmWave) communications enable high-throughput covert transmissions by leveraging large bandwidths and highly directional narrow beams. However, their susceptibility to high path loss and blockages poses challenges in crowded environments. The emerging surface wave fluid antenna (SWFA) technology—which guides signals along building surfaces to establish indirect line-of-sight (LOS) links—offers a promising solution by innovating wireless propagation. Integrating SWFA with mmWave systems unlocks a new paradigm for covert communications, where flexible, water-like signal flow across spaces and surfaces maximizes mmWave’s advantages. This paper comprehensively investigates SWFA’s role in enhancing mmWave covertness and reliability, addressing vulnerabilities in signal propagation, beampattern exposure, and multiuser multiplexing. Specifically, we exploit SWFA for intelligent path planning to evade blockages and adversaries, optimize lowdetection probability beampatterns, and mitigate multiuser signal diffusion.