[Taken] Project Proposal: Machine Learning for Mobility Model Identification and Feature Understanding in Large Networking Datasets
In the era of large-scale communication networks, understanding user mobility patterns is crucial for optimizing network resources, improving service quality, and enhancing user experience. Mobility models provide insights into how users move within a network, influencing network planning, resource allocation, and handover decisions. However, traditional approaches to identifying these models often rely on predefined assumptions … Read more