A Novel Model-Assisted Decentralized Multi-Agent Reinforcement Learning for Joint Optimization of Hybrid Beamforming in Massive MIMO mmWave Systems

Yan Yan 0009, Baoxian Zhang, Cheng Li 0005, Jianjun Bai, Zheng Yao. A Novel Model-Assisted Decentralized Multi-Agent Reinforcement Learning for Joint Optimization of Hybrid Beamforming in Massive MIMO mmWave Systems. IEEE T. Vehicular Technology, 72(11):14743-14755, November 2023. [doi]

@article{YanZLBY23,
  title = {A Novel Model-Assisted Decentralized Multi-Agent Reinforcement Learning for Joint Optimization of Hybrid Beamforming in Massive MIMO mmWave Systems},
  author = {Yan Yan 0009 and Baoxian Zhang and Cheng Li 0005 and Jianjun Bai and Zheng Yao},
  year = {2023},
  month = {November},
  doi = {10.1109/TVT.2023.3280910},
  url = {https://doi.org/10.1109/TVT.2023.3280910},
  researchr = {https://researchr.org/publication/YanZLBY23},
  cites = {0},
  citedby = {0},
  journal = {IEEE T. Vehicular Technology},
  volume = {72},
  number = {11},
  pages = {14743-14755},
}