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Lightweight Convolutional Neural Networks for CSI Feedback in Massive MIMO

  • Published:2021-08 Issue:8 Volume:25 Page:2624-2628
  • ISSN:1089-7798
  • Container-title:IEEE Communications Letters
  • language:
  • Short-container-title:IEEE Commun. Lett.

Author:

Cao ZhengORCID,Shih Wan-TingORCID,Guo JiajiaORCID,Wen Chao-KaiORCID,Jin ShiORCID

Funder

National Key Research and Development Program

National Natural Science Foundation of China (NSFC) for Distinguished Young Scholars with Grant

NSFC

Ministry of Science and Technology of Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modelling and Simulation

Cited by 36 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning for Efficient CSI Feedback in Massive MIMO: Adapting to New Environments and Small Datasets;IEEE Transactions on Wireless Communications;2024-09

2. Intelligent image recognition using lightweight convolutional neural networks model in edge computing environment;Journal of Computational Methods in Sciences and Engineering;2024-06-17

3. CSI Feedback Prediction Using UE Aware Sparse Neural Network Framework;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09

4. Lightweight and Flexible Deep Equilibrium Learning for CSI Feedback in FDD Massive MIMO;2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN);2024-05-05

5. CIRNet: An Improved Lightweight Convolution Neural Network Architecture with Inverted Residuals for Universal Steganalysis;Arabian Journal for Science and Engineering;2024-01-17
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