Leveraging Multi-Task Learning to Enable a General-Purpose AI-Native Radio Access Network

Multi-task learning can facilitate a general-purpose AI-native Radio Access Network by enabling a single model to concurrently manage multiple networking tasks, addressing the challenge of independent life-cycle management of edge-distributed workloads.