A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications
Extremely large-scale multiple-input-multiple-output (XL-MIMO), which offers vast spatial
degrees of freedom, has emerged as a potentially pivotal enabling technology for the sixth …
degrees of freedom, has emerged as a potentially pivotal enabling technology for the sixth …
Application of reinforcement learning and deep learning in multiple-input and multiple-output (MIMO) systems
The current wireless communication infrastructure has to face exponential development in
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …
Two-stage channel estimation for mmWave massive MIMO systems based on ResNet-UNet
J Zhao, Y Wu, Q Zhang, J Liao - IEEE Systems Journal, 2023 - ieeexplore.ieee.org
For millimeter wave massive multiple-input multiple-output systems, the transceiver usually
adopts a hybrid precoding structure to reduce complexity and cost, which poses great …
adopts a hybrid precoding structure to reduce complexity and cost, which poses great …
At the Dawn of Generative AI Era: A tutorial-cum-survey on new frontiers in 6G wireless intelligence
As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a
profound fusion with novel communication paradigms and emerging technological trends …
profound fusion with novel communication paradigms and emerging technological trends …
RIS-aided mmWave MIMO channel estimation using deep learning and compressive sensing
Reconfigurable intelligent surface (RIS) assisted wireless systems require accurate channel
state information (CSI) to control wireless channels and improve both the bandwidth and …
state information (CSI) to control wireless channels and improve both the bandwidth and …
Accurate channel estimation and hybrid beamforming using Artificial Intelligence for massive MIMO 5G systems
MK Chary, CHV Krishna, DR Krishna - AEU-International Journal of …, 2024 - Elsevier
In a large-scale massive Multi User-Multiple Input Multiple Output (MU-MIMO) environment
channel estimation and beamforming is a breathtaking task for enhancing the array gain …
channel estimation and beamforming is a breathtaking task for enhancing the array gain …
Deep learning-based channel estimation for wideband hybrid mmWave massive MIMO
Hybrid analog-digital (HAD) architecture is widely adopted in practical millimeter wave
(mmWave) massive multiple-input multiple-output (MIMO) systems to reduce hardware cost …
(mmWave) massive multiple-input multiple-output (MIMO) systems to reduce hardware cost …
Protocol solutions for IEEE 802.11 bd by enhancing IEEE 802.11 ad to address common technical challenges associated with mmWave-based V2X
RI Abd, KS Kim - IEEE Access, 2022 - ieeexplore.ieee.org
A multi-gigabit (WiGig) system is designed based on IEEE 802.11 ad standards by exploiting
millimeter-wave (mmWave) bands to achieve extremely high data rates. Recently, IEEE …
millimeter-wave (mmWave) bands to achieve extremely high data rates. Recently, IEEE …
Deep-learning based channel estimation for RIS-aided mmWave systems with beam squint
Reconfigurable intelligent surface (RIS) assisted wireless systems require accurate channel
state information (CSI) to control wireless channels and improve overall network …
state information (CSI) to control wireless channels and improve overall network …
Optimal RIS partitioning and power control for bidirectional NOMA networks
This study delves into the capabilities of reconfigurable intelligent surfaces (RISs) in
enhancing bidirectional non-orthogonal multiple access (NOMA) networks. The proposed …
enhancing bidirectional non-orthogonal multiple access (NOMA) networks. The proposed …