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) …

ACCsiNet: Asymmetric convolution-based autoencoder framework for massive MIMO CSI feedback

B Cao, Y Yang, P Ran, D He… - IEEE Communications …, 2021 - ieeexplore.ieee.org
Channel state information (CSI) is a critical part for massive multiple-input multiple-output
(MIMO) system. However, it is a big challenge to send a large amount of CSI from the …

基于人工智能的大规模天线信道状态信息反馈研究

黄秋萍, 刘晓峰, 高秋彬, 刘正宣, 金立强… - 电信科学, 2022 - infocomm-journal.com
信道状态信息(channel state information, CSI) 的精确获取是大规模天线发挥效能的关键.
在现有的通信系统中, 上下行链路互易性不理想时, 基于码本进行下行链路的CSI 反馈 …

Remote Sensing Urban Green Space Layout and Site Selection Based on Lightweight Expansion Convolutional Method

D Fan, S Yu, F Jin, X Han, G Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
With the improvement of remote sensing image resolution, remote sensing image scene
classification has become a major difficulty in the research of remote sensing Urban green …

Accuracy-aware compression of channel impulse responses using deep learning

T Altstidl, S Kram, O Herrmann… - 2021 International …, 2021 - ieeexplore.ieee.org
Ultra-wideband (UWB) systems based on Channel State Information (CSI) estimate the
position of mobile nodes within an environment by using Channel Impulse Responses …

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 …

Low-Complexity CSI Feedback for FDD Massive MIMO Systems via Learning to Optimize

Y Ma, H He, S Song, J Zhang, KB Letaief - arXiv preprint arXiv:2406.16323, 2024 - arxiv.org
In frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO) systems,
the growing number of base station antennas leads to prohibitive feedback overhead for …

Streamlining multimodal data fusion in wireless communication and sensor networks

MJ Bocus, X Wang, RJ Piechocki - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper presents a novel approach for multimodal data fusion based on the Vector-
Quantized Variational Autoencoder (VQVAE) architecture. The proposed method is simple …

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 …

Deep learning empowered Type-II codebook: New paradigm for enhancing CSI feedback

K Ma, Y Sang, Y Ming, J Lian, C Tian… - arXiv preprint arXiv …, 2023 - arxiv.org
Deep learning based channel state information (CSI) feedback in frequency division duplex
systems has drawn much attention in both academia and industry. In this paper, we focus on …