Collaborative Research: Generalizable and Adaptive RF Signal Generative Models for Next-Ge — NSF Award to University of California
This project develops an innovative radio frequency (RF) signal propagation modeling framework to advance next-generation wireless technologies, including Wi-Fi 7 and sixth-generation cellular networks. These technologies enable critical applications in smart cities, precision agriculture, and smart healthcare by suppo
| Award title | Collaborative Research: Generalizable and Adaptive RF Signal Generative Models for Next-Ge |
|---|---|
| Award ID | 2525614 |
| Awardee | University of California-Los Angeles |
| City | LOS ANGELES |
| State | CA |
| Amount obligated | $210,000 |
| Principal investigator | Mani Srivastava |
| Program | CCSS-Comms Circuits & Sens Sys |
| Start date | 01/01/2026 |
| Abstract | This project develops an innovative radio frequency (RF) signal propagation modeling framework to advance next-generation wireless technologies, including Wi-Fi 7 and sixth-generation cellular networks. These technologies enable critical applications in smart cities, precision agriculture, and smart healthcare by supporting efficient wireless communication and sensing tasks such as human activity recognition and environmental monitoring. A key challenge in data-driven wireless systems is the lab |
| Source | NSF Awards |
$799/mo
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