A lite distributed semantic communication system for internet of things
The rapid development of deep learning (DL) and widespread applications of Internet-of-
Things (IoT) have made the devices smarter than before, and enabled them to perform more …
Things (IoT) have made the devices smarter than before, and enabled them to perform more …
Convolutional neural network-based multiple-rate compressive sensing for massive MIMO CSI feedback: Design, simulation, and analysis
Massive multiple-input multiple-output (MIMO) is a promising technology to increase link
capacity and energy efficiency. However, these benefits are based on available channel …
capacity and energy efficiency. However, these benefits are based on available channel …
Deep learning-based CSI feedback for beamforming in single-and multi-cell massive MIMO systems
The potentials of massive multiple-input multiple-output (MIMO) are all based on the
available instantaneous channel state information (CSI) at the base station (BS). Therefore …
available instantaneous channel state information (CSI) at the base station (BS). Therefore …
Deep learning-based CSI feedback and cooperative recovery in massive MIMO
In this paper, the correlation between nearby user equipment (UE) is exploited, and a deep
learning-based channel state information (CSI) feedback and cooperative recovery …
learning-based channel state information (CSI) feedback and cooperative recovery …
DS-NLCsiNet: Exploiting non-local neural networks for massive MIMO CSI feedback
X Yu, X Li, H Wu, Y Bai - IEEE Communications Letters, 2020 - ieeexplore.ieee.org
Channel state information (CSI) feedback plays an important part in frequency division
duplex (FDD) massive multiple-input multiple-output (MIMO) systems. However, it is still …
duplex (FDD) massive multiple-input multiple-output (MIMO) systems. However, it is still …
AI enabled wireless communications with real channel measurements: Channel feedback
Artificial intelligence (AI) has shown great potential in wireless communications. AI-
empowered communication algorithms have beaten many traditional algorithms through …
empowered communication algorithms have beaten many traditional algorithms through …
Learning-based multi-channel access in 5G and beyond networks with fast time-varying channels
We propose a learning-based scheme to investigate the dynamic multi-channel access
(DMCA) problem in the fifth generation (5G) and beyond networks with fast time-varying …
(DMCA) problem in the fifth generation (5G) and beyond networks with fast time-varying …
ELM-based superimposed CSI feedback for FDD massive MIMO system
In frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO), deep
learning (DL)-based superimposed channel state information (CSI) feedback has presented …
learning (DL)-based superimposed channel state information (CSI) feedback has presented …
基于深度学习的大规模MIMO 信道状态信息反馈
陈慕涵， 郭佳佳， 李潇， 金石 - 物联网学报, 2020 - infocomm-journal.com
大规模多输入多输出(MIMO, multiple-input multiple output) 技术被认为是下一代移动通信的
核心技术之一, 其系统增益建立在基站能够精确获知信道状态信息(CSI, channel state …
核心技术之一, 其系统增益建立在基站能够精确获知信道状态信息(CSI, channel state …