mlsanityData to 14 Oct 2026

Multi-resolution CSI Feedback with deep learning in Massive MIMO System

arXiv 1910.14322 ↗First posted 31 Oct 2019cs.IT cs.LG eess.SPcited by 32

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Abstract (arXiv)

In massive multiple-input multiple-output (MIMO) system, user equipment (UE) needs to send downlink channel state information (CSI) back to base station (BS). However, the feedback becomes expensive with the growing complexity of CSI in massive MIMO system. Recently, deep learning (DL) approaches are used to improve the reconstruction efficiency of CSI feedback. In this paper, a novel feedback network named CRNet is proposed to achieve better performance via extracting CSI features on multiple resolutions. An advanced training scheme that further boosts the network performance is also introduced. Simulation results show that the proposed CRNet outperforms the state-of-the-art CsiNet under the same computational complexity without any extra information. The open source codes are available at https://github.com/Kylin9511/CRNet

Key facts. Cited by 32 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 Oct 2019.

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Citing papers per year: 2021: 3; 2022: 7; 2023: 6; 2024: 5; 2025: 7; 2026: 4.

32 papers.

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  1. 2022Overview of Deep Learning-based CSI Feedback in Massive MIMO Systemscited by 37
  2. 2021CLNet: Complex Input Lightweight Neural Network designed for Massive MIMO CSI Feedbackcited by 15
  3. 2024Generating High Dimensional User-Specific Wireless Channels using Diffusion Modelscited by 14
  4. 2021Binarized Aggregated Network with Quantization: Flexible Deep Learning Deployment for CSI Feedback in Massive MIMO Systemcited by 5
  5. 2022Quantization Adaptor for Bit-Level Deep Learning-Based Massive MIMO CSI Feedbackcited by 3
  6. 2024Vector Quantization for Deep-Learning-Based CSI Feedback in Massive MIMO Systemscited by 3
  7. 2025Generative Diffusion Model-based Compression of MIMO CSIcited by 3
  8. 2022PolarDenseNet: A Deep Learning Model for CSI Feedback in MIMO Systemscited by 2
  9. 2022Enhancing Deep Learning Performance of Massive MIMO CSI Feedbackcited by 2
  10. 2023Streamlining Multimodal Data Fusion in Wireless Communication and Sensor Networkscited by 2
  11. 2021Aggregated Network for Massive MIMO CSI Feedbackcited by 1
  12. 2023Towards Efficient Subarray Hybrid Beamforming: Attention Network-based Practical Feedback in FDD Massive MU-MIMO Systemscited by 1
20 more
  1. 2023Deep Learning Empowered Type-II Codebook: New Paradigm for Enhancing CSI Feedbackcited by 1
  2. 2023Joint Channel Estimation and Feedback with Masked Token Transformers in Massive MIMO Systemscited by 1
  3. 2023Auto-CsiNet: Scenario-customized Automatic Neural Network Architecture Generation for Massive MIMO CSI Feedbackcited by 1
  4. 2023Dig-CSI: A Distributed and Generative Model Assisted CSI Feedback Training Frameworkcited by 1
  5. 2024An Efficient Network with Novel Quantization Designed for Massive MIMO CSI Feedbackcited by 1
  6. 2024CSI Compression using Channel Chartingcited by 1
  7. 2026Context-Aware Markov VAE for CSI Compression in Wireless Systemscited by 1
  8. 2022Deep Learning for 1-Bit Compressed Sensing-based Superimposed CSI Feedbackcited by 0
  9. 2022Multi-task Deep Neural Networks for Massive MIMO CSI Feedbackcited by 0
  10. 2022Better Lightweight Network for Free: Codeword Mimic Learning for Massive MIMO CSI feedbackcited by 0
  11. 2024Physics-Inspired Deep Learning Anti-Aliasing Framework in Efficient Channel State Feedbackcited by 0
  12. 2025Quantization Design for Deep Learning-Based CSI Feedbackcited by 0
  13. 2025Information-Preserving CSI Feedback: Invertible Networks with Endogenous Quantization and Channel Error Mitigationcited by 0
  14. 2025Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systemscited by 0
  15. 2025CSIYOLO: An Intelligent CSI-based Scatter Sensing Framework for Integrated Sensing and Communication Systemscited by 0
  16. 2025CSI-4CAST: A Hybrid Deep Learning Model for CSI Prediction with Comprehensive Robustness and Generalization Testingcited by 0
  17. 2025Generative Model-Aided Continual Learning for CSI Feedback in FDD mMIMO-OFDM Systemscited by 0
  18. 2026A Wireless World Model for AI-Native 6G Networkscited by 0
  19. 2026Site-Specific MIMO Channel Generation via Diffusion and Flow Matching: Fidelity, Efficiency, and Downstream Utilitycited by 0
  20. 2026GCNO: Gramian Chebyshev Neural Operator for Physics-Based Compression of Wireless Channelscited by 0