“Federated Deep Reinforcement Learning for Prediction-Based Network Slice Mobility in 6G Mobile Networks” Journal Paper
Network slices are generally coupled with services and face service continuity/unavailability concerns due to the high mobility and dynamic requests from users. Network slice mobility (NSM), which considers user mobility, service migration, and resource allocation from a holistic view, is witnessed as a key technology in enabling network slices to respond quickly to service degradation. […]