1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.SP2023
Deep Learning for Joint Design of Pilot, Channel Feedback, and Hybrid Beamforming in FDD Massive MIMO-OFDM Systems
Junyi Yang, Weifeng Zhu, Shu Sun +3
This letter considers the transceiver design in frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) syst…
eess.SP2023★ 1 cited
Hierarchical Beam Alignment for Millimeter-Wave Communication Systems: A Deep Learning Approach
Junyi Yang, Weifeng Zhu, Meixia Tao +1
Fast and precise beam alignment is crucial for high-quality data transmission in millimeter-wave (mmWave) communication systems, where large-scale antenna arrays are utilized to ov…
eess.SP2022
Deep Learning for Hierarchical Beam Alignment in mmWave Communication Systems
Junyi Yang, Weifeng Zhu, Meixia Tao
Fast and precise beam alignment is crucial to support high-quality data transmission in millimeter wave (mmWave) communication systems. In this work, we propose a novel deep learni…