no code implementations • 24 Oct 2022 • Jing-Yuan Xia, Zhixiong Yang, Tong Qiu, Huaizhang Liao, Deniz Gunduz
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-hard.
1 code implementation • 21 Jun 2022 • Zhixiong Yang, Jing-Yuan Xia, Junshan Luo, Shuanghui Zhang, Deniz Gündüz
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.