Machine-learning-based optimization for multiple-irs-aided communication system

HIGHLIGHTS

  • who: Maha Fathy and colleagues from the School of Information and Electronics Engineering, Beijing Institute of Technology, Beijing, China have published the article: Machine-Learning-Based Optimization for Multiple-IRS-Aided Communication System, in the Journal: Electronics 2023, 12, 1703. of /2023/
  • what: The authors aim to jointly optimize the configuration of the BS active beamforming and reflection beamforming of the IRSs that meet the UE`s QoS while allowing the lowest transmit power consumption at the BS. For the static UE scenario the authors propose a low-complexity optimization algorithm based on the new . . .

     

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