Learning Autonomy in Management of Wireless Random Networks

@article{Lee2021LearningAI,
  title={Learning Autonomy in Management of Wireless Random Networks},
  author={Hoon Lee and Sang Hyun Lee and Tony Q. S. Quek},
  journal={IEEE Transactions on Wireless Communications},
  year={2021},
  volume={20},
  pages={8039-8053}
}
This paper presents a machine learning strategy that tackles a distributed optimization task in a wireless network with an arbitrary number of randomly interconnected nodes. Individual nodes decide their optimal states with distributed coordination among other nodes through randomly varying backhaul links. This poses a technical challenge in distributed universal optimization policy robust to a random topology of the wireless network, which has not been properly addressed by conventional deep… 

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