Predictive Quality of Service in Vehicular Communication Systems Models, Datasets, and Open Challenges
This survey provides a structured review of QoS prediction approaches spanning machine learning, deep learning, reinforcement learning, protocol-level evaluation, and security-trust mechanisms, and outlines promising research directions for developing adaptive, explainable, and privacy-preserving QoS prediction models...