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This paper details DeepSig's CUDA-based acceleration backend for the OCUDU physical layer and O-RAN fronthaul, achieving significant performance improvements while maintaining compatibility with existing systems. The architecture accelerates multiple key functionalities, including PDSCH, PUSCH, and O-RAN fronthaul IQ compression, resulting in speedups of up to 91.4x for specific tasks on an NVIDIA DGX Spark platform. Importantly, the design allows for the integration of AI-driven techniques alongside traditional baseband processing, paving the way for advanced research in AI-native air interfaces.
Achieving up to 91.4x speedup in O-RAN fronthaul decompression could revolutionize the efficiency of 5G networks.
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 fronthaul (O-FH) IQ compression/decompression while preserving existing factories, resource-grid interfaces, PRACH-buffer interfaces, and channel processors. CUDA-visible grids, device-side softbit buffers, stream events, pinned staging buffers, and managed-memory policies keep data resident on the accelerator when the platform and radio split permit it. On an NVIDIA DGX Spark platform with a GB10 GPU and ARM CPU host, representative measurements with CPU baselines pinned to high-capacity cores show up to 10.3x PUSCH speedup, 2.7x PDSCH speedup, 19.7x split-8 low-PHY RX speedup with slot-shaped batching and scattered mapped zero-copy, 91.4x O-FH BFP12 decompression speedup, and 28.8x PRACH detector speedup against the production CPU path, with CPU and GPU 10% BLER thresholds agreeing to within 0.064 dB in the tested PUSCH sweeps. The same resident pipeline provides an execution substrate for AI-RAN, allowing machine-learned channel estimation, neural receivers, and AI-native air-interface research to run beside standards-compliant baseband kernels.
