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eess.SP2022
A Meta-Learning Based Gradient Descent Algorithm for MU-MIMO Beamforming
Jing-Yuan Xia, Zhixiong Yang, Tong Qiu +2
Multi-user multiple-input multiple-output (MU-MIMO) beamforming design is typically formulated as a non-convex weighted sum rate (WSR) maximization problem that is known to be NP-h…
eess.SP2022★ 27 cited
A Learning Aided Flexible Gradient Descent Approach to MISO Beamforming
Zhixiong Yang, Jing-Yuan Xia, Junshan Luo +2
This paper proposes a learning aided gradient descent (LAGD) algorithm to solve the weighted sum rate (WSR) maximization problem for multiple-input single-output (MISO) beamforming…