Deep Learning for Massive MIMO CSI Feedback

• Published in: IEEE wireless communications letters Vol. 7; no. 5; pp. 748 - 751
• Main Authors: Wen, Chao-Kai, Shih, Wan-Ting, Jin, Shi
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.10.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Beamforming; Codes; compressed sensing; conventional neural network; Decoding; Deep learning; Discrete Fourier transforms; FDD; Feedback; Frequency division duplexing; Image reconstruction; Machine learning; Massive MIMO; MIMO communication; Training; Transformations; Wireless communication

In frequency division duplex mode, the downlink channel state information (CSI) should be sent to the base station through feedback links so that the potential gains of a massive multiple-input multiple-output can be exhibited. However, such a transmission is hindered by excessive feedback overhead....