Innovative AI-driven optimization solution for 5G Open RAN networks, designed to revolutionize network performance through intelligent machine learning techniques.
- 🕵️ Intelligent Anomaly Detection: Real-time identification of network performance issues using advanced analytical algorithms
- 📊 Predictive Network Management: Proactive traffic forecasting and strategic resource allocation
- 🔄 Adaptive Resource Optimization: Dynamic network configuration based on comprehensive environmental and operational data
- ⚡ Energy Efficiency Enhancement: Smart power consumption management through intelligent resource allocation
Leveraging cutting-edge artificial intelligence technologies including:
- Supervised and unsupervised machine learning algorithms
- Deep learning neural networks
- Reinforcement learning strategies
- Natural language processing techniques
Seamlessly integrated with Open RAN interfaces to ensure comprehensive interoperability and flexibility.
- Python 3.8+
- pip package manager
# Clone the repository
git clone https://github.com/IIITV-5G-and-Edge-Computing-Activity/Role-of-AI-in-Open-RAN-Optimization.git
# Install dependencies
pip install -r requirements.txt-
📦 Data Preparation
python src/preprocess.py
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🏋️ Model Training
python src/train.py
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📊 Model Evaluation
python src/evaluate.py
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🔧 Network Optimization
python src/optimize.py
- Dr. Bhupendra Kumar
- Chhavi Gupta (202151043)
- Nandini Bure (202151041)
- Srivalli Vangaveti (202151189)
- Siddharth Gupta (202151156)
We welcome contributions from researchers and developers. Feel free to fork, modify, and submit pull requests.
Apache-2.0 License
🚧 Work in Progress 🚧 This project is continuously evolving. Expect potential modifications and improvements.