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
Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems With Implicit CSI
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2022.3196064
Abstract: In an aerial hybrid massive multiple-input multiple-output (MIMO) and orthogonal frequency division multiplexing (OFDM) system, how to design a spectral-efficient broadband multi-user hybrid beamforming with a limited pilot and feedback overhead is challenging. To this… read more here.
Keywords: neural network; network; driven deep; data driven ... See more keywords
CSI Feedback With Model-Driven Deep Learning of Massive MIMO Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2021.3138927
Abstract: In order to achieve reliable communication with a high data rate of massive multiple-input multiple-output (MIMO) systems in frequency division duplex (FDD) mode, the estimated channel state information (CSI) at the receiver needs to be… read more here.
Keywords: mimo systems; massive mimo; driven deep; csi feedback ... See more keywords
A Data-Driven Deep Neural Network for Modeling of Ionospheric Clutter in HFSWR
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3274203
Abstract: In the practical application of high-frequency surface wave radar (HFSWR), ionospheric clutter has become the principal obstacle to target detection. Since ionospheric clutter has nonlinear and time-varying characteristics, the current suppression methods still require improvement.… read more here.
Keywords: driven deep; deep neural; clutter; hfswr ... See more keywords
Shape-driven deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields
Sign Up to like & getrecommendations! Published in 2022 at "PLOS Computational Biology"
DOI: 10.1371/journal.pcbi.1011055
Abstract: Computational fluid dynamics (CFD) can be used to simulate vascular haemodynamics and analyse potential treatment options. CFD has shown to be beneficial in improving patient outcomes. However, the implementation of CFD for routine clinical use… read more here.
Keywords: driven deep; neural networks; pressure velocity; deep neural ... See more keywords
Towards Efficient Electrically-Driven Deep UVC Lasing: Challenges and Opportunities
Sign Up to like & getrecommendations! Published in 2022 at "Nanomaterials"
DOI: 10.3390/nano13010185
Abstract: The major issues confronting the performance of deep-UV (DUV) laser diodes (LDs) are reviewed along with the different approaches aimed at performance improvement. The impact of threading dislocations on the laser threshold current, limitations on… read more here.
Keywords: electrically driven; driven deep; efficient electrically; towards efficient ... See more keywords