The student will use Python ML libraries to devise and implement a method for data-driven QoE prediction and anomaly detection in cellular networks. The student will do this research in collaboration with a MS student and a major cell phone operator.
Faculty Department of Project Supervisor:
Faculty of Engineering and Natural Sciences
Number of Students:
Related Areas of Project:
Computer Science and Engineering