Channel estimation for RIS-aided multiuser millimeter-wave systems
Reconfigurable intelligent surface (RIS) is a promising device that can reconfigure the
electromagnetic propagation environment through adjustment of the phase shifts of its …
electromagnetic propagation environment through adjustment of the phase shifts of its …
Compressive sampling framework for 2D-DOA and polarization estimation in mmWave polarized massive MIMO systems
The polarized massive multiple-input multiple-output (MIMO) technique has been regarded
as a promising solution to millimeter wave (mmWave) communication systems, because it …
as a promising solution to millimeter wave (mmWave) communication systems, because it …
Federated learning for channel estimation in conventional and RIS-assisted massive MIMO
Machine learning (ML) has attracted a great research interest for physical layer design
problems, such as channel estimation, thanks to its low complexity and robustness. Channel …
problems, such as channel estimation, thanks to its low complexity and robustness. Channel …
A dynamic array-of-subarrays architecture and hybrid precoding algorithms for terahertz wireless communications
Terahertz (THz) communications are envisioned as a key technology for 6G wireless
systems, owing to an unprecedented promised multi-GHz bandwidth. While THz band …
systems, owing to an unprecedented promised multi-GHz bandwidth. While THz band …
Joint antenna selection and hybrid beamformer design using unquantized and quantized deep learning networks
In millimeter-wave communications, multiple-input-multiple-output (MIMO) systems use large
antenna arrays to achieve high gain and spectral efficiency. These massive MIMO systems …
antenna arrays to achieve high gain and spectral efficiency. These massive MIMO systems …
An attention-aided deep learning framework for massive MIMO channel estimation
Channel estimation is one of the key issues in practical massive multiple-input multiple-
output (MIMO) systems. Compared with conventional estimation algorithms, deep learning …
output (MIMO) systems. Compared with conventional estimation algorithms, deep learning …
Cascaded channel estimation for RIS assisted mmWave MIMO transmissions
Channel estimation is challenging for the reconfigurable intelligence surface (RIS) assisted
millimeter wave (mmWave) communications. Since the number of coefficients of the …
millimeter wave (mmWave) communications. Since the number of coefficients of the …
Low-complexity deep-learning-based DOA estimation for hybrid massive MIMO systems with uniform circular arrays
D Hu, Y Zhang, L He, J Wu - IEEE Wireless Communications …, 2019 - ieeexplore.ieee.org
This letter proposes a low-complexity deep-learning-based direction-of-arrival (DOA)
estimation method for a hybrid massive multiple-input multiple-output (MIMO) system with a …
estimation method for a hybrid massive multiple-input multiple-output (MIMO) system with a …
Channel estimation for FAS-assisted multiuser mmWave systems
This letter investigates the challenge of channel estimation in a multiuser millimeter-wave
(mmWave) time-division duplexing (TDD) system. In this system, the base station (BS) uses …
(mmWave) time-division duplexing (TDD) system. In this system, the base station (BS) uses …
Millidegree-level direction-of-arrival estimation and tracking for terahertz ultra-massive MIMO systems
Terahertz (0.1-10 THz) wireless communications are expected to meet 100+ Gbps data rates
for 6G communications. Being able to combat the distance limitation with reduced hardware …
for 6G communications. Being able to combat the distance limitation with reduced hardware …