Nvidia uses raytracing to model 5G network design
NVIDIA's cuMAC is a CUDA-based platform accelerating 5G/6G MAC layer scheduler functions with GPUs. It supports UE selection, PRB allocation, beamforming, and aims to integrate AI/ML enhancements for efficient scheduling.
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Aerial cuMAC is a CUDA-based platform by NVIDIA for accelerating 5G/6G MAC layer scheduler functions with GPUs. It supports various scheduler functions like UE selection, PRB allocation, layer selection, MCS selection, and dynamic beamforming for coordinated cell scheduling. The platform provides a C/C++ API to offload scheduler functions from the L2 stack in DUs to GPUs. In the future, cuMAC aims to integrate AI/ML-based scheduler enhancements with GPU acceleration. The system involves components like the Aerial Scheduler Acceleration API, cuMAC-CP, cell group-based cuMAC API, and cuMAC multi-cell scheduler modules. The scheduling algorithms are implemented as CUDA kernels for multi-cell scheduling, offering benefits like globally optimized resource allocation in a cell group. Additionally, cuMAC supports HARQ re-transmissions and provides CPU reference code for verification. It also offers support for different CSI types, FP32, and FP16 implementations to reduce scheduler latency. Overall, cuMAC aims to enhance scheduling efficiency and performance in 5G/6G networks through GPU acceleration and advanced algorithms.
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