Vehicular Multi-slice Optimization in 5G: Dynamic Preference Policy using Reinforcement Learning

Chaofeng Zhang, Mianxiong Dong, Kaoru Ota. Vehicular Multi-slice Optimization in 5G: Dynamic Preference Policy using Reinforcement Learning. In IEEE Global Communications Conference, GLOBECOM 2020, Virtual Event, Taiwan, December 7-11, 2020. pages 1-6, IEEE, 2020. [doi]

@inproceedings{ZhangDO20-2,
  title = {Vehicular Multi-slice Optimization in 5G: Dynamic Preference Policy using Reinforcement Learning},
  author = {Chaofeng Zhang and Mianxiong Dong and Kaoru Ota},
  year = {2020},
  doi = {10.1109/GLOBECOM42002.2020.9348132},
  url = {https://doi.org/10.1109/GLOBECOM42002.2020.9348132},
  researchr = {https://researchr.org/publication/ZhangDO20-2},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {IEEE Global Communications Conference, GLOBECOM 2020, Virtual Event, Taiwan, December 7-11, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-8298-8},
}