Eliminating CSI Feedback Overhead via Deep Learning-Based Data Hiding
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2022.3180806
Abstract: Channel state information (CSI) plays a crucial role in the capacity of multiple-input and multiple-output systems, but CSI feedback occupies substantial precious transmission resources in frequency-division duplexing (FDD) systems. In this work, we propose a… read more here.
Keywords: feedback overhead; deep learning; csi; data hiding ... See more keywords
Angle-based beamforming in mmWave massive MIMO systems with low feedback overhead using multi-pattern codebooks
Sign Up to like & getrecommendations! Published in 2019 at "China Communications"
DOI: 10.23919/jcc.2019.09.002
Abstract: The integration of millimeter-wave (mmWave) communications and massive multiple input multiple output (MIMO) techniques is a promising solution to dramatically increase the 5G network throughput. By using large antenna arrays, beamforming can be adopted to… read more here.
Keywords: based beamforming; angle based; massive mimo; feedback overhead ... See more keywords