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Reconfigurable-intelligent-surface empowered wireless communications: Challenges and opportunities
Reconfigurable intelligent surfaces (RISs) are regarded as a promising emerging hardware
technology to improve the spectrum and energy efficiency of wireless networks by artificially …
technology to improve the spectrum and energy efficiency of wireless networks by artificially …
Deep learning methods for solving linear inverse problems: Research directions and paradigms
The linear inverse problem is fundamental to the development of various scientific areas.
Innumerable attempts have been carried out to solve different variants of the linear inverse …
Innumerable attempts have been carried out to solve different variants of the linear inverse …
Channel estimation for movable antenna communication systems: A framework based on compressed sensing
Movable antenna (MA) is a new technology with great potential to improve communication
performance by enabling local movement of antennas for pursuing better channel …
performance by enabling local movement of antennas for pursuing better channel …
Matrix-calibration-based cascaded channel estimation for reconfigurable intelligent surface assisted multiuser MIMO
Reconfigurable intelligent surface (RIS) is envisioned to be an essential component of the
paradigm for beyond 5G networks as it can potentially provide similar or higher array gains …
paradigm for beyond 5G networks as it can potentially provide similar or higher array gains …
Hybrid evolutionary-based sparse channel estimation for IRS-assisted mmWave MIMO systems
The intelligent reflecting surface (IRS)-assisted millimeter wave (mmWave) communication
system has emerged as a promising technology for coverage extension and capacity …
system has emerged as a promising technology for coverage extension and capacity …
Low-rank matrix completion: A contemporary survey
As a paradigm to recover unknown entries of a matrix from partial observations, low-rank
matrix completion (LRMC) has generated a great deal of interest. Over the years, there have …
matrix completion (LRMC) has generated a great deal of interest. Over the years, there have …
Pruning the pilots: Deep learning-based pilot design and channel estimation for MIMO-OFDM systems
With the large number of antennas and subcarriers the overhead due to pilot transmission
for channel estimation can be prohibitive in wideband massive multiple-input multiple-output …
for channel estimation can be prohibitive in wideband massive multiple-input multiple-output …
Deep learning for beamspace channel estimation in millimeter-wave massive MIMO systems
Millimeter-wave massive multiple-input multiple-output (MIMO) can use a lens antenna array
to considerably reduce the number of radio frequency (RF) chains, but channel estimation is …
to considerably reduce the number of radio frequency (RF) chains, but channel estimation is …
Tensor decomposition-based channel estimation for hybrid mmWave massive MIMO in high-mobility scenarios
Massive multiple-input multiple-output (MIMO) integrated with millimeter-wave (mmWave)
can provide unprecedented performance improvement for realizing future wireless …
can provide unprecedented performance improvement for realizing future wireless …
Beam squint and channel estimation for wideband mmWave massive MIMO-OFDM systems
With the increasing scale of antenna arrays in wideband millimeter-wave (mmWave)
communications, the physical propagation delays of electromagnetic waves traveling across …
communications, the physical propagation delays of electromagnetic waves traveling across …