O-RAN for Future-Generation Wireless Communication and Sensing
O-RAN for Future-Generation Wireless Communication and Sensing
NSF Award # 2603227: "Collaborative Research: CyberTraining: Pilot: O-RAN-Based Cyberinfrastructure Training for Future-Generation Wireless Communication and Sensing" (Dec. 2025 - Aug. 2027)
This is a jointly project by Yeshiva University and University of Hawaii at Manoa
The national spectrum strategy emphasizes spectrum infrastructure and workforce development in the full range of operational, technical, and policy roles to establish U.S. leadership in future-generation (FutureG) wireless techniques. However, achieving the strategic goal of spectrum workforce development involves non-trivial challenges, including limited capacity and availability of advanced wireless cyberinfrastructure (CI) and specialized tools, skills, and knowledge sets to develop, manage, and utilize wireless CI. This project responds to the national call for spectrum workforce development and trains the FutureG workforce by extending their research abilities through a novel “immersed” approach to promote project-based hands-on learning. An open radio access network (O-RAN) wireless testbed will be utilized to allow trainees to practice the operation and programming of FutureG wireless instruments and develop wireless applications. Cloud-based access to the O-RAN testbed and a suite of template projects will be offered to address the technical barriers and complexities of wireless CI access.
Project Activities:
Agenda:
Week 1 :
Part 1: Introduction to Wireless Communication (Instructor: Shucheng Yu)
Part 2: Hands-On Experiments with USPRs (RA: Hanzhi Yan)
Week 2:
Part 1: ML/AI in Wireless Communication and Sensing (Instructor: Shucheng Yu)
Part 2: O-RAN Setup Hands-On Experiments (Instructor and RA: Saurabh Parkar)
Week 3:
Part 1: When Wireless Networks Start Seeing the World: From ISAC to Cyber-Physical Intelligience (Instructor: Xiaochan Xue)
Part 2: FMCW Radar Principles and Hands-On Experiments (Instructor and RA: Chengyi Liu)
Week 4:
Toward Zero-Power Internet of Things: Wireless Power Transfer and On-Demand Sensing (Instructor: Ye Liu)
AFRL RF Radio Challenge (October 2025 - April 2026)
Team 1 (Saurabh, Lenny, Karen, and Shaun)
Waveform Design and Implementation.
Team 2 (Chengyi, Parkar, Lenny, Shaun, and Karen)
Reconfigurable Intelligent Surface
Team 3 (Chengyi and Parkar)
ISAC Algorithm Design
Team 4 (Lenny, Shaun, and Karen)
O-RAN Implementation
X. Xue, S. Yu, S. Parkar, J. Li, "Waveform Design for ISAC: Trends and Future Directions", International Conference on Computing, Networking and Communications (ICNC), 2026.
X. Xue, S. Yu, S. Parkar, Y. Zheng, "ROISD: RIS and O-RAN Assisted Intelligent Sensing for UAV Detection", IEEE Annual Congress on Artificial Intelligence of Things (AIoT), 2025.
X. Xue, S. Parkar, S. Yu, Y. Zheng, "AI-assisted Composite ISAC for mmWave Respiration Pattern Recognition", IEEE Annual Congress on Artificial Intelligence of Things (AIoT), 2025.
M. K. Hasan, S. Yu, M. Song, "Channel-Adaptive Privacy Enhancement for NOMA-Based Antagonistic Overlay Cognitive Networks", IEEE Transactions on Vehicular Technology, December 2025.