IIITV 5G and Edge Computing Activity
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- The 5G Data Usage Prediction App is a machine learning-based web application that predicts the amount of data usage based on user behavior, network conditions, and device types. The app is built using Streamlit for an interactive user interface and utilizes an XGBoost model for accurate predictions.
2024GR11CS462
Public- This repository contains a Python-based analysis toolkit for 5G Core Network traffic visualization and analysis. Provides insights into network topology, protocol distributions, and communication patterns between 5G network functions using the Western-OC2-Lab datasets.
2024GR19CS462
Public5G-NFC_Edge
Public5G-Edge-Drive
PublicThis project focuses on integrating edge computing in 5G autonomous vehicles to handle tasks like route planning and image recognition. By offloading these processes to edge servers, it ensures low latency, real-time decision-making, efficient resource utilization, and enhanced performance in dynamic driving scenarios.- This advanced and complex project implements an AI-powered optimization system for 5G Open RAN networks. Using machine learning and deep learning, the system optimizes network performance by detecting anomalies, predicting network traffic, and dynamically allocating resources.