1 citations · 1 across the 4 of their papers we have counts for
4 papers
A Learnable Optimization and Regularization Approach to Massive MIMO CSI Feedback
Zhengyang Hu, Guanzhang Liu, Qi Xie +3
Channel state information (CSI) plays a critical role in achieving the potential benefits of massive multiple input multiple output (MIMO) systems. In frequency division duplex (FD…
CSI Feedback with Model-Driven Deep Learning of Massive MIMO Systems
J. Guo, L. Wang, F. Li +1
In order to achieve reliable communication with a high data rate of massive multiple-input multiple-output (MIMO) systems in frequency division duplex (FDD) mode, the estimated cha…
Federated Dynamic Neural Network for Deep MIMO Detection
Yuwen Yang, Feifei Gao, Jiang Xue +2
In this paper, we develop a dynamic detection network (DDNet) based detector for multiple-input multiple-output (MIMO) systems. By constructing an improved DetNet (IDetNet) detecto…
Learning to Search for MIMO Detection
Jianyong Sun, Yiqing Zhang, Jiang Xue +1
This paper proposes a novel learning to learn method, called learning to learn iterative search algorithm (LISA), for signal detection in a multi-input multi-output (MIMO) system.…