NYCU-ISAC
Prompted by 3GPP TR 22.837, which highlights 32 key applications—many in smart cities and intelligent transportation—this project addresses the growing need for large-scale Integrated Sensing and Communication (ISAC) networks. While ISAC has seen significant research over the past five years, most efforts focus on isolated technologies, with little attention to scalable, perceptive wireless systems.
Funded by NSTC, Taiwan, this project was officially launched in Aug. 2025 to bridge that gap, aiming to develop AI-driven ISAC networks that unify sensing and communication for real-world deployment in smart urban and transportation environments.
News and Activities
This workshop is jointly organized by National Yang Ming Chiao Tung University (NYCU) and the University of Technology Sydney (UTS), focusing on cutting-edge research and key technological developments in next-generation wireless systems. The workshop covers a broad range of important topics, including digital twins, integrated sensing and communications (ISAC), AI-empowered perceptive wireless networks, low earth orbit (LEO) satellite communications, privacy and security, mobile edge computing, as well as 6G and machine learning. The event features invited talks by scholars from NYCU and UTS, who share recent research outcomes and practical experiences, and fosters cross-national academic exchange and collaboration through in-depth technical discussions.
We organize a specialized workshop focusing on recent advances and emerging topics in the relevant research fields, aiming to foster academic exchange and interdisciplinary collaboration. The workshop features invited talks by two distinguished scholars from Monash University: Professor Emanuele Viterbo and Associate Professor Yi Hong. Through their invited presentations, participants will gain insights into state-of-the-art research developments and engage in in-depth discussions with internationally recognized researchers, promoting knowledge exchange and potential future collaborations.
We published the paper entitled "Deep unfolding learning-based beamforming design for multi-user MIMO-OFDM integrated sensing and communication systems" at IEEE GLOBECOM 2025.
This work targets the runtime bottleneck of optimization-based beamforming for multi-user MIMO-OFDM ISAC. Building on a WMMSE-SCA formulation, we unfold the iterative procedure into a lightweight neural architecture (UBeD) and train it with an unsupervised loss directly tied to the ISAC objective. Training tricks such as RD-bin weighting and dynamic tradeoff control further stabilize convergence. Simulation show that UBeD achieves superior sensing-communication tradeoffs while slashing per-design runtime from hours to seconds and maintaining scalability as system dimensions grow.
Prof. Li-Chun Wang has been awarded the Electrical Engineering Medal (Academic Research Category) by the Chinese Institute of Electrical Engineering (CIEE) for the year 2025.
This honor recognizes Dean Wang’s long-standing contributions to academic research in electrical and communication engineering, as well as her leadership in advancing interdisciplinary collaboration and innovation within NYCU. Her achievements exemplify the university’s commitment to academic excellence and impactful research.
Prof. Ming-Chun Lee has been honored with the Outstanding Young Electrical Engineer Award by the Chinese Institute of Electrical Engineering (CIEE) for 2025.
This award highlights Prof. Lee’s innovative contributions to communication systems and signal processing. His research integrates optimization and deep learning techniques to enhance next-generation wireless network efficiency and intelligence, significantly influencing the future of 6G technologies.
We collaborated with our international partner, Prof. Vahid Jamali from TU Darmstadt, and published the paper entitled "Robust and Resilient Networks with Integrated Sensing, Communication and Computation" at IEEE Communication Magazine.
The main contribution of this paper lies in the first introduction of the “R²-ISCC (Robust and Resilient Integrated Sensing, Communication, and Computation)” concept. The paper proposes five key enablers, including robust and proactive resource management, efficient information exchange, digital twin assisted R²-ISCC network, distributed multi-tier multi-modal network architectures, and holistic approach to Robust-and-Resilient-by-Design ISCC network.
In the simulation based on a distributed radar sensing network, the results show that the strategy which simultaneously consider both Robust and Resilient designs can maintain the sensing SNR remains reliably above the threshold throughout the trajectory.
Ming-Chun delivered a tutorial talk entitled “MIMO-OFDM ISAC Systems: Fundamentals, Recent Advances, and Opportunities” at the 25th Asia-Pacific Network Operations and Management Symposium.
Li-Chun, Ming-Chun, and Jerry visited the Department of ECE, Texas A&M University
Li-Chun, Ming-Chun, and Jerry visited Network Sensing Lab @UTS
Li-Chun, Ming-Chun, and Jerry visited UNSW
We published the paper entitled "On the scaling law tradeoff of integrated sensing and communication networks" at IEEE ISIT 2025.
In this work, we fully characterize the optimal scaling-law tradeoff between communication throughput and sensing range of large ad hoc ISAC wireless networks. Our results show that by slightly reducing throughput, we can significantly extend the sensing range. Specifically, the improvement in sensing range is proportional to the degree of throughput reduction, scaled by the relative difference in how signals weaken over distance in communication versus sensing.
The NYCU ISAC team was officially formed, comprising five professors at NYCU and three international collaborators: Jinhong Yuan (UNSW, Australia), Vahid Jamali (TU Darmstadt, Germany), and Geoffrey Li (Imperial College London, UK).