Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2021.3087269
Abstract: This paper proposes a model-driven deep learning (MDDL)-based channel estimation and feedback scheme for wideband millimeter-wave (mmWave) massive hybrid multiple-input multiple-output (MIMO) systems, where the angle-delay domain channels’ sparsity is exploited for reducing the overhead.… read more here.
Keywords: channel estimation; estimation feedback; driven deep; estimation ... See more keywords
Distributed Learning-Based Channel Estimation and Feedback for RIS-Aided Wireless Communications
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2024.3509612
Abstract: To reduce the required pilot and feedback overhead in reconfigurable intelligent surface (RIS)-aided wireless communication systems under frequency division duplex (FDD) mode, a deep distributed learning-based joint channel estimation and feedback framework is proposed. Specifically,… read more here.
Keywords: channel; channel estimation; estimation feedback; distributed learning ... See more keywords
Hierarchical Fusion Estimation With Feedback for Clustered Sensor Networks Subject to Leader and Subordinate Sensors
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2025.3598216
Abstract: In this brief, hierarchical fusion estimation with feedback is researched in clustered sensor networks with leader and subordinate sensors. A local estimator is designed to obtain local estimates using feedback fusion estimates in each sensor.… read more here.
Keywords: hierarchical fusion; estimation feedback; fusion; fusion estimation ... See more keywords