Intelligent reflecting surface-aided device-to-device communication: a deep reinforcement learning approach

HIGHLIGHTS

• who: Ajmery Sultana and Xavier Fernando from the Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, ON M B , Canada have published the article: Intelligent Reflecting Surface-Aided Device-to-Device Communication: A Deep Reinforcement Learning Approach, in the Journal: Future Internet 2022, 14, 256. of /2022/
• what: The research in this area has not yet been fully explored, which is the motivation behind this study on the IRS-assisted D2D framework. The authors propose an RL-based scheme to solve the optimization problem of the IRS-assisted D2D underlay cellular network. The . . .
  

   

  

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