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Aerial Framework

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Aerial Framework

Table of Contents

  • Overview
  • Installation
    • Docker and NVIDIA Container Toolkit Setup
  • Tutorials
    • 1. Getting Started
    • 2. Reference PUSCH Receiver
    • 3. MLIR-TensorRT Tutorial
    • 4. PUSCH Receiver Lowering Tutorial
    • 5. AI Channel Filter Tutorial
    • 6. PUSCH Channel Filter Lowering
    • 7. Complete 5G NR PUSCH Pipeline
    • 8. Fronthaul Uplink Processing
    • 9. Top Level PHY RAN Application
  • API Reference
    • Framework API
      • Log
      • Memory
      • Net
      • Pipeline
      • Task
      • Tensor
      • TensorRT
      • Utils
    • RAN API
      • Python API
        • Constants
        • Datasets
        • MLIR-TensorRT Wrapper
        • JAX PHY
        • NumPy PHY
        • TensorRT Plugins
        • Types
        • RAN Utils
      • Runtime API
        • Aerial TV
        • Common
        • Driver
        • FAPI
        • Fronthaul
        • LDPC
        • Message Adapter
        • ORAN
        • PHY RAN App
        • PUSCH
  • Developer Guide
    • Container
    • Build
    • Test
    • C++ Development
    • Python Development
    • Documentation
    • Dependencies
    • Real-Time Applications
    • CI Pipeline
    • Troubleshooting
  • Acknowledgements
  • Get the Code
  • Discussions
  • Report an Issue
  • Developer Guide

Developer Guide#

  • Container
  • Build
  • Test
  • C++ Development
  • Python Development
  • Documentation
  • Dependencies
  • Real-Time Applications
  • CI Pipeline
  • Troubleshooting

Overview#

The Aerial Framework provides a reference architecture for building and running GPU-accelerated signal processing workloads. This guide covers container setup, build configuration, testing, C++ and Python development workflows, dependencies, and a guide for running the real-time applications so you can develop your own pipelines.

PHY App Container Architecture
PHY App Container Architecture (Dark)

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