[HTML][HTML] Pervasive intelligent endogenous 6G wireless systems: Prospects, theories and key technologies
The worldwide large-scale commercial deployment of 5G has commenced in 2020 for
supporting enhanced Mobile BroadBand (eMBB), ultra-Reliable and Low-Latency …
supporting enhanced Mobile BroadBand (eMBB), ultra-Reliable and Low-Latency …
Hybrid precoding for wideband millimeter wave MIMO systems in the face of beam squint
Hybrid Transmit Precoding (TPC) is one of the most compelling solutions for millimeter wave
(mmWave) multiple-input multiple output (MIMO) systems. However, most attention has been …
(mmWave) multiple-input multiple output (MIMO) systems. However, most attention has been …
Wideband channel estimation for IRS-aided systems in the face of beam squint
Intelligent reflecting surfaces (IRSs) improve both the bandwidth and energy efficiency of
wideband communication systems by using low-cost passive elements for reflecting the …
wideband communication systems by using low-cost passive elements for reflecting the …
AIRIS: Artificial intelligence enhanced signal processing in reconfigurable intelligent surface communications
Reconfigurable intelligent surface (RIS) is an emerging meta-surface that can provide
additional communications links through reflecting the signals, and has been recognized as …
additional communications links through reflecting the signals, and has been recognized as …
3-D hybrid beamforming for terahertz broadband communication system with beam squint
In this paper, the three-dimensioned (3D) hybrid beamforming is designed for the terahertz
(THz) based broadband broadcasting communication system with beam squint. Specifically …
(THz) based broadband broadcasting communication system with beam squint. Specifically …
Deep learning-based hybrid precoding for terahertz massive MIMO communication with beam squint
In this letter, a wideband hybrid precoding network (WHPC-Net) based on deep learning is
designed for Terahertz (THz) massive multiple input multiple output (MIMO) system in the …
designed for Terahertz (THz) massive multiple input multiple output (MIMO) system in the …
Sparsity-aware channel estimation for mmWave massive MIMO: A deep CNN-based approach
S Liu, X Huang - China Communications, 2021 - ieeexplore.ieee.org
The deep convolutional neural network (CNN) is exploited in this work to conduct the
challenging channel estimation for mmWave massive multiple input multiple output (MIMO) …
challenging channel estimation for mmWave massive multiple input multiple output (MIMO) …
Hybrid precoding and combining for millimeter wave/sub-THz MIMO-OFDM systems with beam squint effects
In this paper, we consider the problem of hybrid precoding and combining for wideband
millimeter wave (mmWave) and sub-terahertz (THz) MIMO-OFDM systems with beam squint …
millimeter wave (mmWave) and sub-terahertz (THz) MIMO-OFDM systems with beam squint …
Decoupling energy efficient approach for hybrid precoding-based mmWave massive MIMO-NOMA with SWIPT
A Jawarneh, M Kadoch, Z Albataineh - IEEE Access, 2022 - ieeexplore.ieee.org
In this paper, we address the problem of energy consumption associated with mixed signal
components such as analog-to-digital components in millimeter-wave (mmWave) massive …
components such as analog-to-digital components in millimeter-wave (mmWave) massive …
Hybrid precoding based on active learning for mmWave massive MIMO communication systems
M Nouri, H Behroozi, H Bastami… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this paper, a cost-effective and high-accuracy precoding technique based on-Fuzzy
pareto active learning (FPAL) is proposed for millimeter wave (mmWave) massive MIMO …
pareto active learning (FPAL) is proposed for millimeter wave (mmWave) massive MIMO …