🚀 AI-Enhanced Open-RAN Optimizer

📌 Project Overview

AI-Enhanced Open-RAN Optimizer is an AI-driven solution designed to optimize 5G Open RAN (Radio Access Network) performance. This project leverages advanced machine learning techniques to improve overall network efficiency, resource utilization, and energy consumption in real-time.

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🧠 Approach & Methodology

The system integrates multiple AI methodologies, ensuring compatibility and scalability with Open RAN standards:

• ✅ Supervised & Unsupervised Machine Learning
• 🧠 Deep Learning & Neural Network Architectures
• ♻️ Reinforcement Learning Techniques
• 🗣️ Natural Language Processing (NLP) Tools
• 🔗 Seamless Integration with Open RAN for end-to-end optimization

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✨ Main Features

• 📉 Network Anomaly Detection
  Detects abnormal behaviors and performance issues in real time using advanced analytics.

• 📈 Predictive Networking
  Learns from past traffic patterns to forecast future demand and proactively manage resources.

• ⚙️ Network Optimizer (Main Focus)
  Dynamically adjusts network parameters based on real-time environmental and operational data to improve performance.

• 🔋 Energy Optimizer
  Reduces energy consumption by intelligently allocating resources based on demand.

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👨‍👩‍👧‍👦 Project Team

🧑‍🏫 Mentor:
Dr. Bhupendra Kumar

👥 Team Members:
Akshoy Gorai (202251010)
Anurag Kumar (202251020)
Animesh Kumar (202251016)
Amon Sharma (202251015)