3 papers
cs.NI2026
The OCUDU dApp Platform: An Open Runtime and E3 Interface for Real-Time AI-RAN
Timothy O'Shea, Matthew Pennybacker, Andriy Kharchenko
Machine learning has shown its largest gains in the band below 10 ms inside a 3GPP new radio (NR) 5G distributed unit (DU): link adaptation, per-slot scheduling, channel estimation…
cs.NI2026
Real-Time dApps for AI-RAN: Measured Interface Requirements for Inline PHY and Slot-Level Control
Timothy O'Shea, Matthew Pennybacker, Andriy Kharchenko
Distributed applications (dApps) bring AI to the microsecond-to-millisecond band beside the 5G distributed unit (DU), but every public dApp framework realizes them the same way: an…
eess.SP2026
GPU-Resident CUDA Acceleration for OCUDU 5G PHY and O-RAN Fronthaul: Architecture and Preliminary Performance
Matthew Pennybacker, Wan Liu, Andriy Kharchenko +1
This paper describes DeepSig's CUDA-based acceleration backend for the OCUDU physical layer and O-RAN fronthaul path, integrated through acceleration interfaces that are largely in…