mlsanityData to 7 Oct 2026

Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends

arXiv 1911.12296 ↗First posted 27 Nov 2019cs.IT cs.LG math.ITcited by 20

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Abstract (arXiv)

Future wireless networks are expected to evolve towards an intelligent and software reconfigurable paradigm enabling ubiquitous communications between humans and mobile devices. They will be also capable of sensing, controlling, and optimizing the wireless environment to fulfill the visions of low-power, high-throughput, massively-connected, and low-latency communications. A key conceptual enabler that is recently gaining increasing popularity is the Holographic Multiple Input Multiple Output Surface (HMIMOS) that refers to a low-cost transformative wireless planar structure comprising of sub-wavelength metallic or dielectric scattering particles, which is capable of impacting electromagnetic waves according to desired objectives. In this article, we provide an overview of HMIMOS communications by introducing the available hardware architectures for reconfigurable such metasurfaces and their main characteristics, as well as highlighting the opportunities and key challenges in designing HMIMOS-enabled communications.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Nov 2019.

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Citing papers per year: 2021: 7; 2022: 5; 2023: 2; 2024: 2; 2025: 2; 2026: 2.

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  1. 2021Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applicationscited by 96
  2. 2024Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6Gcited by 30
  3. 2022Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfacescited by 12
  4. 2021Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Designcited by 10
  5. 2021Time-Varying Channel Prediction for RIS-Assisted MU-MISO Networks via Deep Learningcited by 4
  6. 2025WirelessMathBench: A Mathematical Modeling Benchmark for LLMs in Wireless Communicationscited by 4
  7. 2021A Robust Deep Learning-Based Beamforming Design for RIS-assisted Multiuser MISO Communications with Practical Constraintscited by 3
  8. 2024Spatial Channel State Information Prediction with Generative AI: Towards Holographic Communication and Digital Radio Twincited by 3
  9. 2021Deep Learning Based RIS Channel Extrapolation with Element-groupingcited by 2
  10. 2021Channel Estimation and Hybrid Architectures for RIS-Assisted Communicationscited by 1
  11. 2022Learning Optimal Phase-Shifts of Holographic Metasurface Transceiverscited by 1
  12. 2023AI-Empowered Hybrid MIMO Beamformingcited by 1
8 more
  1. 2025Near Field Localization via AI-Aided Subspace Methodscited by 1
  2. 2021Beyond 5G RIS mmWave Systems: Where Communication and Localization Meetcited by 0
  3. 2022Reconfigurable Intelligent Surface Enabled Spatial Multiplexing with Fully Convolutional Networkcited by 0
  4. 2022Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methodscited by 0
  5. 2022A Review of the Convergence of 5G/6G Architecture and Deep Learningcited by 0
  6. 2023HoloBeam: Learning Optimal Beamforming in Far-Field Holographic Metasurface Transceiverscited by 0
  7. 2026A General Deep Learning Framework for Wireless Resource Allocation under Discrete Constraintscited by 0
  8. 2026A 3GPP-Compliant Benchmark Dataset for RIS-Aided Beyond 5G Networkscited by 0