Collaborative Research: Expedite CSI Processing with Lightweight AI in Massive MIMO Commun — NSF Award to University of Tulsa (OK,
Next generation wireless communications will need to support heterogeneous devices with different capabilities on communications, computations, and power to deliver applications with various performance demands such as high data rate, low power consumption, and low latency. Massive multiple-input multiple output (MIMO)
| Award title | Collaborative Research: Expedite CSI Processing with Lightweight AI in Massive MIMO Commun |
|---|---|
| Award ID | 2618214 |
| Awardee | University of Tulsa |
| City | TULSA |
| State | OK |
| Amount obligated | $616 |
| Principal investigator | Yi Qian |
| Program | CSCS: Circuits and Systems for |
| Start date | 01/15/2026 |
| Abstract | Next generation wireless communications will need to support heterogeneous devices with different capabilities on communications, computations, and power to deliver applications with various performance demands such as high data rate, low power consumption, and low latency. Massive multiple-input multiple output (MIMO) has been widely considered a compelling technology for achieving high capacity and high spectrum efficiency in the future wireless communication networks. To fully unleash the pot |
| Source | NSF Awards |
$799/mo
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