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Toplam kayıt 5, listelenen: 1-5
Dictionary learning-based beamspace channel estimation in millimeter-wave massive mimo systems with a lens antenna array
(Institute of Electrical and Electronics Engineers Inc., 2019)
Recent research considers the application of a lens antenna array in order to provide efficient beam selection in beamspace massive MIMO. Achieving the advantages of this beam selection paradigm requires efficient channel ...
Sparse coding with enhanced atom selection for FDD massive MIMO channel estimation
(Institute of Electrical and Electronics Engineers Inc., 2021)
In sparse coding-based channel estimation, atom selection is based on jointly minimizing the sparsity and the error of the representation of the noisy measurement. However, this selection is not necessarily optimal in terms ...
Estimation and exploitation of multidimensional sparsity for MIMO-OFDM channel estimation
(Institute of Electrical and Electronics Engineers Inc., 2022)
Obtaining accurate channel state estimates at reasonable training overheads remains a big challenge for the applicability of multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM). Recently, ...
Deep learning-based optimal ris interaction exploiting previously sampled channel correlations
(IEEE - Institute of Electrical and Electronics Engineers, Inc, 2021)
The reconfigurable intelligent surface (RIS) technology has attracted interest due to its promising coverage and spectral efficiency features. However, some challenges need to be addressed to realize this technology in ...
Sparsifying dictionary learning for beamspace channel representation and estimation in millimeter-wave massive MIMO
(Institute of Electrical and Electronics Engineers Inc., 2023)
Millimeter-wave (mmWave) massive multiple-input-multiple-output (mMIMO) is reported as a key enabler in fifth-generation communication and beyond. It is customary to use a lens antenna array to transform a mmWave mMIMO ...