Resource Allocation for NOMA-MEC Systems in Ultra-Dense Networks: A Learning Aided Mean-Field Game Approach

Lixin Li, Qianqian Cheng, Xiao Tang, Tong Bai, Wei Chen 0002, Zhiguo Ding 0001, Zhu Han. Resource Allocation for NOMA-MEC Systems in Ultra-Dense Networks: A Learning Aided Mean-Field Game Approach. IEEE Transactions on Wireless Communications, 20(3):1487-1500, 2021. [doi]

@article{LiCTBCDH21,
  title = {Resource Allocation for NOMA-MEC Systems in Ultra-Dense Networks: A Learning Aided Mean-Field Game Approach},
  author = {Lixin Li and Qianqian Cheng and Xiao Tang and Tong Bai and Wei Chen 0002 and Zhiguo Ding 0001 and Zhu Han},
  year = {2021},
  doi = {10.1109/TWC.2020.3033843},
  url = {https://doi.org/10.1109/TWC.2020.3033843},
  researchr = {https://researchr.org/publication/LiCTBCDH21},
  cites = {0},
  citedby = {0},
  journal = {IEEE Transactions on Wireless Communications},
  volume = {20},
  number = {3},
  pages = {1487-1500},
}