Author

M. Pennybacker

h-index 7 View on Semantic Scholar

We have 3 of 17 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Sep 2026

Real-Time dApps for AI-RAN: Measured Interface Requirements for Inline PHY and Slot-Level Control

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 external process that receives an indication and returns a control message. That boundary is right for sensing and advisory workloads. It c...

Timothy J. O'Shea, M. Pennybacker, A. Kharchenko · 0 citations

#machine learning Review Sep 2026

The OCUDU dApp Platform: An Open Runtime and E3 Interface for Real-Time AI-RAN

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, and the receiver itself. No open platform has let independently built software run there. Prior dApp frameworks reached the band only as e...

Timothy J. O'Shea, M. Pennybacker, A. Kharchenko · 0 citations

Preprint Aug 2026

GPU-Resident CUDA Acceleration for OCUDU 5G PHY and O-RAN Fronthaul: Architecture and Preliminary Performance

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 independent of the underlying acceleration mechanism. The design accelerates PDSCH, PUSCH, SRS, PRACH, split-8 lower-PHY transforms, and O-RAN...

M. Pennybacker, Wanze Liu, A. Kharchenko et al. · 2 citations