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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 ...
Beam squint inspired multiple access technique in massive MIMO systems
(Institute of Electrical and Electronics Engineers Inc., 2022)
Massive multiple-input multiple-output (mMIMO) systems implementing wideband signaling have been found to suffer from beam squinting problem. In multicarrier systems, beam squint causes spreading of the beam to multiple ...
Beam squint effect in multi-beam mmWave massive MIMO systems
(Institute of Electrical and Electronics Engineers Inc., 2022)
In multicarrier wideband millimeter-wave (mmWave) communications, as the size of antenna array increases, as in massive multiple-input multiple-output (MIMO), an additional propagation delay of the electromagnetic wave at ...