CAREER: Trustworthy AI-Native Network Autonomy in Open Radio Access Networks — NSF Award to University of Nebraska-Lincoln (NE, $4
The open radio access networks (open RAN) initiative, e.g., O-RAN, shows sweeping momentum in shaping, revolutionizing, and defining next-generation 6G mobile networks. As the key focus of 6G, network autonomy is much anticipated to autonomously manage, operate, and optimize real-world networks, particularly leveraging
| Award title | CAREER: Trustworthy AI-Native Network Autonomy in Open Radio Access Networks |
|---|---|
| Award ID | 2538305 |
| Awardee | University of Nebraska-Lincoln |
| City | LINCOLN |
| State | NE |
| Amount obligated | $433,609 |
| Principal investigator | Qiang Liu |
| Program | Networking Technology and Syst |
| Start date | 07/01/2026 |
| Abstract | The open radio access networks (open RAN) initiative, e.g., O-RAN, shows sweeping momentum in shaping, revolutionizing, and defining next-generation 6G mobile networks. As the key focus of 6G, network autonomy is much anticipated to autonomously manage, operate, and optimize real-world networks, particularly leveraging Artificial Intelligence / Machine Learning (AI/ML) techniques. Existing domain-agnostic AI/ML techniques fail to safely adapt and generalize under unforeseeable, evolving network |
| Source | NSF Awards |
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