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Ridho Hendra Yoga Perdana(리드호 헨드라 요가 페르다나),Beongku An(안병구) 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
This paper studies the deep learning-based joint power allocation and phase shift in multiuser multi-intelligent reflecting surface (IRS)-aided massive MIMO systems. The signal-to-noise-plus noise ratio is formulated to determine the spectral efficiency problem. Particularly, we design a deep neural network (DNN) to learn the relation between the position of every user within cell with the optimal power allocation and phase shift policies. The simulation results show that the suggested idea achieves good performance in predict the power allocation and phase shift with accuracy 97% compared to the conventional method while it reduces the computation complexity.