
Wireless innovations Next-generation
Online Workshop(WiNOW)
3-6 November, 2025 // Virtual


Bangchul Jung
Ajou University
Bangchul Jung received a Ph.D. degrees in Electrical & Computer Engineering from Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 2008. From March 2010 to February 2025, he was a Faculty Member of Chungnam National University and Gyeongsang National University, Korea. He is currently a Professor at the Dept. of ECE, Ajou University, Korea. Prof. Jung was the Associate Editor of IEEE Vehicular Technology Magazine from 2020 to 2022 and is now the Senior Editor of IEEE Vehicular Technology Magazine and the Associate Editor of IEEE Open Journal of the Communication Society. He was the TPC Chair of IEEE CCNC 2023 and General Chair of IEEE CCNC 2025. Dr. Jung received the 5th IEEE Communication Society Asia-Pacific Outstanding Young Researcher Award in 2011. His research interests include 6G wireless communications, wireless IoT communications, statistical signal processing, information theory, wireless localization, interference management, radar signal processing, spectrum sharing, multiple antennas, multiple access techniques, radio resource management, machine learning, and GNSS receiver signal processing.
Talk Title: Novel Analytical Framework for 6G Fluid Antenna Systems Utilizing Matrix Approximations
In 6G mobile communication systems, fluid antenna systems (FAS) have emerged as a promising technology for achieving additional diversity within limited spatial constraints. Although extensive research has been conducted on the performance analysis of FAS, existing analytical frameworks suffer from significant limitations, including inaccurate performance estimation and increased computational complexity as the number of antenna ports increases. This talk introduces a novel analytical framework utilizing matrix approximation to evaluate the outage probability of FAS, an emerging technology for 6G wireless communications. The framework effectively captures the intricate correlation structure of FAS channels while maintaining high analytical precision.