[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 …
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) …
Deep Learning for Efficient CSI Feedback in Massive MIMO: Adapting to New Environments and Small Datasets
Z Liu, L Wang, L Xu, Z Ding - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
Channel State Information (CSI) feedback, powered by Deep Learning (DL) methodologies,
exhibits significant promise in enhancing spectrum efficiency within massive MIMO systems …
exhibits significant promise in enhancing spectrum efficiency within massive MIMO systems …
CIRNet: An Improved Lightweight Convolution Neural Network Architecture with Inverted Residuals for Universal Steganalysis
A Gupta, R Chhikara, P Sharma - Arabian Journal for Science and …, 2024 - Springer
Steganalysis techniques play a crucial role in forensic investigation, aiding professionals in
identifying digital images with unsafe content. This work proposes a novel and improved …
identifying digital images with unsafe content. This work proposes a novel and improved …
Deep Reinforcement Learning Driven Joint Dynamic TDD and RRC Connection Management Scheme in Massive IoT Networks
To support dramatically increasing services from internet of thing (IoT) devices with the
sporadic and fluctuated generation of short packet traffic, this paper investigates joint …
sporadic and fluctuated generation of short packet traffic, this paper investigates joint …
MIMO Channel as a Neural Function: Implicit Neural Representations for Extreme CSI Compression in Massive MIMO Systems
Acquiring and utilizing accurate channel state information (CSI) can significantly improve
transmission performance, thereby holding a crucial role in realizing the potential …
transmission performance, thereby holding a crucial role in realizing the potential …
Intelligent image recognition using lightweight convolutional neural networks model in edge computing environment
L Qiu - Journal of Computational Methods in Sciences and …, 2024 - content.iospress.com
In order to enhance the performance of intelligent image recognition, this study optimizes the
image recognition model through lightweight convolutional neural networks (CNNs) and …
image recognition model through lightweight convolutional neural networks (CNNs) and …