4 papers
A Multi-Agent System for 5G Throughput Prediction in Multi-Operator Urban Environments
Muhammad Kabeer, Rosdiadee Nordin, Nadiva Nuriftitah +1
Throughput prediction is foundational for artificial intelligence-driven 6G resource orchestration. Conventional monolithic machine learning models struggle to generalize across di…
Corrosion Risk Estimation for Heritage Preservation: An Internet of Things and Machine Learning Approach Using Temperature and Humidity
Reginald Juan M. Mercado, Muhammad Kabeer, Haider Al-Obaidy +1
Proactive preservation of steel structures at culturally significant heritage sites like the San Sebastian Basilica in the Philippines requires accurate corrosion forecasting. This…
Sequence-Based Deep Learning for Handover Optimization in Dense Urban Cellular Network
Muhammad Kabeer, Rosdiadee Nordin, Mehran Behjati +1
Efficient handover management remains a critical challenge in dense urban cellular networks, where high cell density, user mobility, and diverse service demands increase the likeli…
An Urban Multi-Operator QoE-Aware Dataset for Cellular Networks in Dense Environments
Muhammad Kabeer, Rosdiadee Nordin, Mehran Behjati +1
Urban cellular networks face complex performance challenges due to high infrastructure density, varied user mobility, and diverse service demands. While several datasets address ne…