Hierarchical Multi-Objective Deep Reinforcement Learning for Packet Duplication in Multi-Connectivity for URLLC

In this paper, machine learning solutions have been investigated to improve the decision of packet duplication in a multi-connectivity cellular network to optimize the satisfaction of delay and reliability in 5G. A multi-agent deep reinforcement learning scheme with sequential actor-critic model has been developed to improve the decision of packet duplication from observations of radio environment...