mlsanityData to 7 Oct 2026

Deep Channel Learning For Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems

arXiv 2001.11085 ↗First posted 29 Jan 2020eess.SP cs.IT cs.LGcited by 19

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Abstract (arXiv)

This letter presents the first work introducing a deep learning (DL) framework for channel estimation in large intelligent surface (LIS) assisted massive MIMO (multiple-input multiple-output) systems. A twin convolutional neural network (CNN) architecture is designed and it is fed with the received pilot signals to estimate both direct and cascaded channels. In a multi-user scenario, each user has access to the CNN to estimate its own channel. The performance of the proposed DL approach is evaluated and compared with state-of-the-art DL-based techniques and its superior performance is demonstrated.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Jan 2020.

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Citing papers per year: 2021: 7; 2022: 3; 2023: 2; 2024: 3; 2025: 3; 2026: 1.

19 papers.

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  1. 2023Generative AI for Physical Layer Communications: A Surveycited by 17
  2. 2022Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfacescited by 12
  3. 2021Learning to Estimate RIS-Aided mmWave Channelscited by 4
  4. 2021Time-Varying Channel Prediction for RIS-Assisted MU-MISO Networks via Deep Learningcited by 4
  5. 2023Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insightscited by 4
  6. 2025Decision Transformers for RIS-Assisted Systems with Diffusion Model-Based Channel Acquisitioncited by 3
  7. 2021Federated Dropout Learning for Hybrid Beamforming With Spatial Path Index Modulation In Multi-User mmWave-MIMO Systemscited by 2
  8. 2024Deep-Learning Channel Estimation for IRS-Assisted Integrated Sensing and Communication Systemcited by 2
  9. 2021Graph Attention Networks for Channel Estimation in RIS-assisted Satellite IoT Communicationscited by 1
  10. 2021Channel Estimation and Hybrid Architectures for RIS-Assisted Communicationscited by 1
  11. 2021Untrained DNN for Channel Estimation of RIS-Assisted Multi-User OFDM System with Hardware Impairmentscited by 1
  12. 2024Deep-Learning-Based Channel Estimation for IRS-Assisted ISAC Systemcited by 1
7 more
  1. 2024Extreme Learning Machine-based Channel Estimation in IRS-Assisted Multi-User ISAC Systemcited by 1
  2. 2025Unsupervised Learning-Based Joint Resource Allocation and Beamforming Design for RIS-Assisted MISO-OFDMA Systemscited by 1
  3. 2021Beyond 5G RIS mmWave Systems: Where Communication and Localization Meetcited by 0
  4. 2022Federated Channel Learning for Intelligent Reflecting Surfaces With Fewer Pilot Signalscited by 0
  5. 2022Machine Learning for Metasurfaces Design and Their Applicationscited by 0
  6. 2025Lightweight Deep Learning-Based Channel Estimation for RIS-Aided Extremely Large-Scale MIMO Systems on Resource-Limited Edge Devicescited by 0
  7. 2026A 3GPP-Compliant Benchmark Dataset for RIS-Aided Beyond 5G Networkscited by 0