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Intelligent LDPC Decoder

This project explores intelligent approaches to Low-Density Parity-Check (LDPC) decoding by integrating Artificial Intelligence and Machine Learning techniques. LDPC codes are powerful error-correcting codes used in modern communication systems, and this repository contains three innovative modifications to traditional LDPC decoders.

Project Overview

The repository contains three main approaches to improve LDPC decoding:

  • ml-ldpc - Implements function approximation using machine learning for various components in the LDPC decoder
  • nn-ldpc - Investigates the effectiveness of neural networks in decoding noisy binary signals
  • rl-layered-ldpc - Uses reinforcement learning to find optimal layer sequences for faster packet decoding

Features

  • Multiple AI/ML approaches to LDPC decoding
  • Parallel and distributed computing support (Dask-based)
  • Layered decoding algorithms
  • Neural network-based decoding models
  • Reinforcement learning optimization

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/intelligent-ldpc-decoder.git
cd intelligent-ldpc-decoder

  2. Install dependencies:

    uv sync

  3. Activate environment:

    source .venv/bin/activate

Usage

Each subdirectory contains its own implementation. Refer to the specific README files in each folder for detailed usage instructions:

Project Structure

intelligent-ldpc-decoder/
├── ml-ldpc/                # ML-improved LDPC decoder
│   ├── DaskLDPC/           # Distributed computing implementation
│   ├── GH_matrix/          # Generator and parity matrices
│   └── ...
├── nn-ldpc/                # Neural network decoder
│   └── nn_ldpc.ipynb       # Jupyter notebook implementation
├── rl-layered-ldpc/        # RL-optimized layered decoder
│   ├── main.py
│   ├── graph.py
│   └── ...
└── README.md

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Citation

If you use this code in your research, please cite:

@misc{intelligent-ldpc-decoder,
  title={Intelligent LDPC Decoder with AI/ML Techniques},
  author={Your Name},
  year={2024},
  url={https://github.com/yourusername/intelligent-ldpc-decoder}
}