The following publications are possibly variants of this publication:
- Exploiting Bi-Directional Channel Reciprocity in Deep Learning for Low Rate Massive MIMO CSI FeedbackZhenyu Liu 0002, Lin Zhang 0013, Zhi Ding 0001. wcl, 8(3):889-892, 2019. [doi]
- A Markovian Model-Driven Deep Learning Framework for Massive MIMO CSI FeedbackZhenyu Liu 0002, Mason del Rosario, Zhi Ding 0001. TWC, 21(2):1214-1228, 2022. [doi]
- Data-Driven Deep Learning-Based Rate-Splitting Multiple Access for FDD Massive MIMO-OFDM Systems with Implicit CSIMinghui Wu 0002, Zhen Gao 0001, Chun Hu, Zhongxiang Li. spawc 2023: 156-160 [doi]
- AnciNet: An Efficient Deep Learning Approach for Feedback Compression of Estimated CSI in Massive MIMO SystemsYuyao Sun, Wei Xu 0001, Lisheng Fan, Geoffrey Ye Li, George K. Karagiannidis. wcl, 9(12):2192-2196, 2020. [doi]
- A Lightweight Deep Network for Efficient CSI Feedback in Massive MIMO SystemsYuyao Sun, Wei Xu 0001, Le Liang, Ning Wang 0004, Geoffery Ye Li, Xiaohu You. wcl, 10(8):1840-1844, 2021. [doi]
- Unsupervised Online Learning in Deep Learning-Based Massive MIMO CSI FeedbackYiming Cui, Jiajia Guo, Chao-Kai Wen, Shi Jin 0002, Shuangfeng Han. icl, 26(9):2086-2090, 2022. [doi]