Dynamic Metasurface Antennas for 6G Extreme Massive MIMO Communications
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Abstract (arXiv)
Next generation wireless base stations and access points will transmit and receive using extremely massive numbers of antennas. A promising technology for realizing such massive arrays in a dynamically controllable and scalable manner with reduced cost and power consumption utilizes surfaces of radiating metamaterial elements, known as metasurfaces. To date, metasurfaces are mainly considered in the context of wireless communications as passive reflecting devices, aiding conventional transceivers in shaping the propagation environment. This article presents an alternative application of metasurfaces for wireless communications as active reconfigurable antennas with advanced analog signal processing capabilities for next generation transceivers. We review the main characteristics of metasurfaces used for radiation and reception, and analyze their main advantages as well as their effect on the ability to reliably communicate in wireless networks. As current studies unveil only a portion of the potential of metasurfaces, we detail a list of exciting research and implementation challenges which arise from the application of metasurface antennas for wireless transceivers.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Jun 2020.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 2; 2024: 2; 2025: 3; 2026: 2.
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- 2022MIMO Channel Estimation using Score-Based Generative Modelscited by 50
- 2022Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfacescited by 12
- 2021LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receiverscited by 7
- 2025Universal Approximation with XL MIMO Systems: OTA Classification via Trainable Analog Combiningcited by 5
- 2026Over-The-Air Extreme Learning Machines with XL Reception via Nonlinear Cascaded Metasurfacescited by 2
- 2021Channel Estimation and Hybrid Architectures for RIS-Assisted Communicationscited by 1
- 2023AI-Empowered Hybrid MIMO Beamformingcited by 1
- 2025Near Field Localization via AI-Aided Subspace Methodscited by 1
- 2023Autoregressive Attention Neural Networks for Non-Line-of-Sight User Tracking with Dynamic Metasurface Antennascited by 0
- 2024Rapid and Power-Aware Learned Optimization for Modular Receive Beamformingcited by 0
- 2024Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep Recevierscited by 0
- 2025RIS-Enabled Smart Wireless Environments: Fundamentals and Distributed Optimizationcited by 0
- 2026Over-The-Air Extreme Learning Machines with Nonlinear Stacked Intelligent Metasurfaces27 Aug 2026
- 2026Over-The-Air Extreme Learning Machines with XL Reception via Nonlinear Cascaded Metasurfaces25 Jan 2026
- 2025RIS-Enabled Smart Wireless Environments: Fundamentals and Distributed Optimization21 Dec 2025
- 2025Universal Approximation with XL MIMO Systems: OTA Classification via Trainable Analog Combining17 Apr 2025
- 2025Near Field Localization via AI-Aided Subspace Methods1 Apr 2025
- 2024Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep Receviers4 Sep 2024
- 2024Rapid and Power-Aware Learned Optimization for Modular Receive Beamforming1 Aug 2024
- 2023Autoregressive Attention Neural Networks for Non-Line-of-Sight User Tracking with Dynamic Metasurface Antennas30 Oct 2023
- 2023AI-Empowered Hybrid MIMO Beamforming3 Mar 2023
- 2022Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces8 May 2022
- 2022MIMO Channel Estimation using Score-Based Generative Models14 Apr 2022
- 2021Channel Estimation and Hybrid Architectures for RIS-Assisted Communications14 Apr 2021
1 more
- 2022MIMO Channel Estimation using Score-Based Generative Modelscited by 50
- 2022MIMO Channel Estimation using Score-Based Generative Models14 Apr 2022
- 2022Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfacescited by 12
- 2021LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receiverscited by 7
- 2025Universal Approximation with XL MIMO Systems: OTA Classification via Trainable Analog Combiningcited by 5
- 2026Over-The-Air Extreme Learning Machines with XL Reception via Nonlinear Cascaded Metasurfacescited by 2
- 2021Channel Estimation and Hybrid Architectures for RIS-Assisted Communicationscited by 1
- 2023AI-Empowered Hybrid MIMO Beamformingcited by 1
- 2025Near Field Localization via AI-Aided Subspace Methodscited by 1
- 2023Autoregressive Attention Neural Networks for Non-Line-of-Sight User Tracking with Dynamic Metasurface Antennascited by 0
- 2024Rapid and Power-Aware Learned Optimization for Modular Receive Beamformingcited by 0
- 2024Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep Recevierscited by 0
- 2025RIS-Enabled Smart Wireless Environments: Fundamentals and Distributed Optimizationcited by 0
- 2026Over-The-Air Extreme Learning Machines with Nonlinear Stacked Intelligent Metasurfacescited by 0
- 2026Over-The-Air Extreme Learning Machines with Nonlinear Stacked Intelligent Metasurfaces27 Aug 2026
- 2026Over-The-Air Extreme Learning Machines with XL Reception via Nonlinear Cascaded Metasurfaces25 Jan 2026
- 2025RIS-Enabled Smart Wireless Environments: Fundamentals and Distributed Optimization21 Dec 2025
- 2025Universal Approximation with XL MIMO Systems: OTA Classification via Trainable Analog Combining17 Apr 2025
- 2025Near Field Localization via AI-Aided Subspace Methods1 Apr 2025
- 2024Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep Receviers4 Sep 2024
- 2024Rapid and Power-Aware Learned Optimization for Modular Receive Beamforming1 Aug 2024
- 2023Autoregressive Attention Neural Networks for Non-Line-of-Sight User Tracking with Dynamic Metasurface Antennas30 Oct 2023
- 2023AI-Empowered Hybrid MIMO Beamforming3 Mar 2023
- 2022Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces8 May 2022
- 2021Channel Estimation and Hybrid Architectures for RIS-Assisted Communications14 Apr 2021
- 2021LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receivers5 Feb 2021