[HTML][HTML] Deep learning for joint channel estimation and feedback in massive MIMO systems
The great potentials of massive Multiple-Input Multiple-Output (MIMO) in Frequency Division
Duplex (FDD) mode can be fully exploited when the downlink Channel State Information …
Duplex (FDD) mode can be fully exploited when the downlink Channel State Information …
AI enlightens wireless communication: A transformer backbone for CSI feedback
X Han, W Zhiqin, L Dexin, T Wenqiang… - China …, 2024 - ieeexplore.ieee.org
This paper is based on the background of the 2nd Wireless Communication Artificial
Intelligence (AI) Competition (WAIC) which is hosted by IMT-2020 (5G) Promotion Group …
Intelligence (AI) Competition (WAIC) which is hosted by IMT-2020 (5G) Promotion Group …
Attention mechanism based intelligent channel feedback for mmWave massive MIMO systems
The potential advantages of intelligent wireless communications with millimeter wave
(mmWave) and massive multiple-input multiple-output (MIMO) are based on the availability …
(mmWave) and massive multiple-input multiple-output (MIMO) are based on the availability …
Multisource Heterogeneous Specific Emitter Identification Using Attention Mechanism-Based RFF Fusion Method
Cyber security has always been an important issue in the Internet of Everything topic. In the
physical layer of the Internet, specific emitter identification (SEI) technology is widely …
physical layer of the Internet, specific emitter identification (SEI) technology is widely …
Deep Learning Empowered CSI Acquisition and Feedback for B5G Wireless Systems
K Ma, Y Sang, Y Ming, J Lian, C Tian… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Deep learning based channel state information (CSI) acquisition and feedback in frequency
division duplex systems have drawn much attention in the beyond fifth-generation (B5G) …
division duplex systems have drawn much attention in the beyond fifth-generation (B5G) …
A Hypernetwork Based Framework for Non-Stationary Channel Prediction
G Liu, Z Hu, L Wang, H Zhang, J Xue… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In order to break through the development bottleneck of modern wireless communication
networks, a critical issue is the out-of-date channel state information (CSI) in high mobility …
networks, a critical issue is the out-of-date channel state information (CSI) in high mobility …
Joint Port Selection Based Channel Acquisition for FDD Cell-Free Massive MIMO
In frequency division duplexing (FDD) cell-free massive MIMO, the acquisition of the channel
state information (CSI) is very challenging because of the large overhead required for the …
state information (CSI) is very challenging because of the large overhead required for the …
Training of Deep Joint Transmitter-Receiver Optimized Communication System without Auxiliary Tools
W Sun, Y He, T Yan, Z Wu, Y Ma - Electronics, 2024 - mdpi.com
Deep Joint transmitter-receiver optimized communication system (Deep JTROCS) is a new
physical layer communication system. It integrates the functions of various signal processing …
physical layer communication system. It integrates the functions of various signal processing …
Loss Function Fusion for Learning Based CSI Extrapolation Enhancement
To reduce the overhead of channel state information (CSI) measurement and feedback, the
extrapolation of the unmeasured CSI has drawn much attention, where deep learning is …
extrapolation of the unmeasured CSI has drawn much attention, where deep learning is …
TypeII-CsiNet: CSI Feedback with TypeII Codebook
The latest TypeII codebook selects partial strongest angular-delay ports for the feedback of
downlink channel state information (CSI), whereas its performance is limited due to the …
downlink channel state information (CSI), whereas its performance is limited due to the …