Deep Reinforcement Learning Based Scheduling Scheme for the NR-U/WiGig Coexistence in Unlicensed mmWave Bands

Qian Zhou, Xiaowen Ye, Liqun Fu 0001. Deep Reinforcement Learning Based Scheduling Scheme for the NR-U/WiGig Coexistence in Unlicensed mmWave Bands. In IEEE International Conference on Communications, ICC 2022, Seoul, Korea, May 16-20, 2022. pages 4468-4473, IEEE, 2022. [doi]

@inproceedings{ZhouY022,
  title = {Deep Reinforcement Learning Based Scheduling Scheme for the NR-U/WiGig Coexistence in Unlicensed mmWave Bands},
  author = {Qian Zhou and Xiaowen Ye and Liqun Fu 0001},
  year = {2022},
  doi = {10.1109/ICC45855.2022.9838539},
  url = {https://doi.org/10.1109/ICC45855.2022.9838539},
  researchr = {https://researchr.org/publication/ZhouY022},
  cites = {0},
  citedby = {0},
  pages = {4468-4473},
  booktitle = {IEEE International Conference on Communications, ICC 2022, Seoul, Korea, May 16-20, 2022},
  publisher = {IEEE},
  isbn = {978-1-5386-8347-7},
}