pyAerial

pyAerial provides a Python API towards the 5G/6G signal processing functionality included in the cuPHY library.

• Overview
  • Key Features
  • Release Notes
• Getting Started with pyAerial
  • Pre-requisites
  • Installing pyAerial
  • Testing the installation
  • Running the example Jupyter notebooks
• Examples of Using pyAerial
  • Running a PUSCH link simulation
  • LDPC encoding-decoding chain
  • Sounding reference signal transmission and reception
  • CSI reference signal transmission and reception
  • Dataset generation by simulation
  • Dataset generation for LLRNet
  • LLRNet model training
  • Neural receiver validation
  • Machine learning based channel estimation for 5G NR PUSCH
  • Channel estimation on transmissions captured using Data Lake
  • Decoding PUSCH transmissions captured using Data Lake
  • Decoding PUSCH transmissions from multiple radio units using Data Lake
• API Reference
  • Physical layer for 5G
  • Utilities