Design of AoI-Aware 5G Uplink Scheduler Using Reinforcement Learning

@article{Wu2021DesignOA,
  title={Design of AoI-Aware 5G Uplink Scheduler Using Reinforcement Learning},
  author={Chien-Cheng Wu and Petar Popovski and Z. Tan and {\vC}edomir Stefanovi{\'c}},
  journal={2021 IEEE 4th 5G World Forum (5GWF)},
  year={2021},
  pages={176-181}
}
Age of Information (AoI) reflects the time that is elapsed from the generation of a packet by a 5G user equipment (UE) to the reception of the packet by a controller. A design of an AoI-aware radio resource scheduler for UEs via reinforcement learning is proposed in this paper. In this paper, we consider a remote control environment in which a number of UEs are transmitting time-sensitive measurements to a remote controller. We consider the AoI minimization problem and formulate the problem as… 

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