A programmable GPU-accelerated framework for real-time AI on 5G edge RAN enables ISAC applications, with cuSense demonstrating 77 cm mean localization error using existing uplink signals on a compliant deployment.
https://mediastorage.o-ran.org/ngrg-rr/nGRG-RR-2024-10- dApp%20use%20cases%20and%20requirements.pdf
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NI 1years
2025 1verdicts
ACCEPT 1representative citing papers
citing papers explorer
-
Programmable and GPU-Accelerated Edge Inference for Real-Time ISAC on NVIDIA Aerial Testbed
A programmable GPU-accelerated framework for real-time AI on 5G edge RAN enables ISAC applications, with cuSense demonstrating 77 cm mean localization error using existing uplink signals on a compliant deployment.