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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.
Models the operations of a US based airline, using a hub-and-spoke style flight network to serve markets across the country. Uses real-world airport data, alongside GDP and passenger visitation statistics to determine an economically viable route network
🎓 University project using ns-3 to plan bandwidth for a streaming service. We analyzed QoS for 100-500 users, discovering a critical bufferbloat bottleneck that prevents the network from scaling beyond 400 users.
Im Rahmen meiner GIS-Weiterbildung habe ich mit QGIS eine Glasfaserinfrastruktur für Sonderriet (Wertheim) geplant – von der Backbone-Leitung bis zum Hausanschluss. Dabei habe ich Versorgungsgebiete analysiert, Kartenserien erstellt und GIS-Werkzeuge wie Layer, Attributtabellen und Geoverarbeitungen genutzt.
This repository contains the tools and results developed for my undergraduate thesis (TCC) in Computer Science at UFES São Mateus. The project focuses on analyzing and improving Wi-Fi coverage on campus through network mapping, custom measurement tools, and advanced router placement simulations. All solutions are data-driven and open-source.
Research repository for cost-effective deployment and optimisation of next-generation (B5G/6G) reconfigurable RAN and optical X-haul networks. Features greedy, genetic algorithm, local search, and exact CPLEX models for network planning with complete datasets and analysis tools.