Wireless Communications Through Reconfigurable Intelligent Surfaces
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Abstract (arXiv)
The future of mobile communications looks exciting with the potential new use cases and challenging requirements of future 6th generation (6G) and beyond wireless networks. Since the beginning of the modern era of wireless communications, the propagation medium has been perceived as a randomly behaving entity between the transmitter and the receiver, which degrades the quality of the received signal due to the uncontrollable interactions of the transmitted radio waves with the surrounding objects. The recent advent of reconfigurable intelligent surfaces in wireless communications enables, on the other hand, network operators to control the scattering, reflection, and refraction characteristics of the radio waves, by overcoming the negative effects of natural wireless propagation. Recent results have revealed that reconfigurable intelligent surfaces can effectively control the wavefront, e.g., the phase, amplitude, frequency, and even polarization, of the impinging signals without the need of complex decoding, encoding, and radio frequency processing operations. Motivated by the potential of this emerging technology, the present article is aimed to provide the readers with a detailed overview and historical perspective on state-of-the-art solutions, and to elaborate on the fundamental differences with other technologies, the most important open research issues to tackle, and the reasons why the use of reconfigurable intelligent surfaces necessitates to rethink the communication-theoretic models currently employed in wireless networks. This article also explores theoretical performance limits of reconfigurable intelligent surface-assisted communication systems using mathematical techniques and elaborates on the potential use cases of intelligent surfaces in 6G and beyond wireless networks.
Key facts. Cited by 35 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Jun 2019.
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Citing papers per year: 2021: 11; 2022: 6; 2023: 2; 2024: 3; 2025: 4; 2026: 9.
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- 2021Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challengescited by 12
- 2022Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfacescited by 12
- 2024Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networkscited by 12
- 2021Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Designcited by 10
- 2023Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semanticscited by 5
- 2021Learning to Estimate RIS-Aided mmWave Channelscited by 4
- 2021A Robust Deep Learning-Based Beamforming Design for RIS-assisted Multiuser MISO Communications with Practical Constraintscited by 3
- 2021Autoencoder-based Communications with Reconfigurable Intelligent Surfacescited by 3
- 2023Localization with Reconfigurable Intelligent Surface: An Active Sensing Approachcited by 3
- 2021Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfacescited by 2
- 2021RIS-assisted UAV Communications for IoT with Wireless Power Transfer Using Deep Reinforcement Learningcited by 2
- 2021Graph Attention Networks for Channel Estimation in RIS-assisted Satellite IoT Communicationscited by 1
23 more
- 2021Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMAcited by 1
- 2022Interpretable AI-based Large-scale 3D Pathloss Prediction Model for enabling Emerging Self-Driving Networkscited by 1
- 2022DRL Enabled Coverage and Capacity Optimization in STAR-RIS Assisted Networkscited by 1
- 2025Beamforming and Resource Allocation for Delay Minimization in RIS-Assisted OFDM Systemscited by 1
- 2025Unsupervised Learning-Based Joint Resource Allocation and Beamforming Design for RIS-Assisted MISO-OFDMA Systemscited by 1
- 2025RIS-Assisted Downlink Pinching-Antenna Systems: GNN-Enabled Optimization Approachescited by 1
- 2021Beyond 5G RIS mmWave Systems: Where Communication and Localization Meetcited by 0
- 2021Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent Surfacescited by 0
- 2022Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methodscited by 0
- 2022Intelligent Trajectory Design for RIS-NOMA aided Multi-robot Communicationscited by 0
- 2022Reconfigurable Intelligent Surface-assisted Classification of Modulations using Deep Learningcited by 0
- 2024Multi-stream Transmission for Directional Modulation Network via Distributed Multi-UAV-aided Multi-active-IRScited by 0
- 2024DRL-AdaPart: DRL-Driven Adaptive STAR-RIS Partitioning for Fair and Efficient Resource Utilizationcited by 0
- 2025A CNN-based End-to-End Learning for RIS-assisted Communication Systemcited by 0
- 2026Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directionscited by 0
- 2026Spectral- and Energy-efficient Multi-BS Multi-RIS Pinching-antenna Systems: A GNN-based Approachcited by 0
- 2026AI-Empowered UAV-Assisted Backscatter Localization and ISAC for Zero-Energy IoT: A Comprehensive Surveycited by 0
- 2026Optimization Algorithms for Joint OFDM Waveform Design and RIS Configuration in 6G Networks: From Convex Relaxation to Foundation Modelscited by 0
- 2026Convergence-Latency-Aware Adaptive Modulation and Resource Allocation in RIS-Assisted Wireless Federated Learningcited by 0
- 2026SignalReasoner: Assessing the Upper Bound of 3B Models for Signal Mathematical Reasoningcited by 0
- 2026Diffusion-Based Inverse Design of Dielectric Resonator Metasurfaces for Shaping Smart Electromagnetic Environmentscited by 0
- 2026A Particle-Swarm-Assisted Gradient Meta-Learning Algorithm for Joint Transmit Precoding and STAR-RIS Coefficient Optimizationcited by 0
- 2026A 3GPP-Compliant Benchmark Dataset for RIS-Aided Beyond 5G Networkscited by 0
- 2026A 3GPP-Compliant Benchmark Dataset for RIS-Aided Beyond 5G Networks30 Sep 2026
- 2026A Particle-Swarm-Assisted Gradient Meta-Learning Algorithm for Joint Transmit Precoding and STAR-RIS Coefficient Optimization24 Sep 2026
- 2026Diffusion-Based Inverse Design of Dielectric Resonator Metasurfaces for Shaping Smart Electromagnetic Environments30 Aug 2026
- 2026SignalReasoner: Assessing the Upper Bound of 3B Models for Signal Mathematical Reasoning18 Aug 2026
- 2026Convergence-Latency-Aware Adaptive Modulation and Resource Allocation in RIS-Assisted Wireless Federated Learning22 Jul 2026
- 2026Optimization Algorithms for Joint OFDM Waveform Design and RIS Configuration in 6G Networks: From Convex Relaxation to Foundation Models30 Jun 2026
- 2026AI-Empowered UAV-Assisted Backscatter Localization and ISAC for Zero-Energy IoT: A Comprehensive Survey22 Jun 2026
- 2026Spectral- and Energy-efficient Multi-BS Multi-RIS Pinching-antenna Systems: A GNN-based Approach2 May 2026
- 2026Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directions27 Apr 2026
- 2025RIS-Assisted Downlink Pinching-Antenna Systems: GNN-Enabled Optimization Approaches25 Nov 2025
- 2025Unsupervised Learning-Based Joint Resource Allocation and Beamforming Design for RIS-Assisted MISO-OFDMA Systems12 Jun 2025
- 2025Beamforming and Resource Allocation for Delay Minimization in RIS-Assisted OFDM Systems4 Jun 2025
23 more
- 2025A CNN-based End-to-End Learning for RIS-assisted Communication System18 Mar 2025
- 2024DRL-AdaPart: DRL-Driven Adaptive STAR-RIS Partitioning for Fair and Efficient Resource Utilization9 Jul 2024
- 2024Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks17 Jun 2024
- 2024Multi-stream Transmission for Directional Modulation Network via Distributed Multi-UAV-aided Multi-active-IRS26 Mar 2024
- 2023Localization with Reconfigurable Intelligent Surface: An Active Sensing Approach14 Dec 2023
- 2023Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics3 Jan 2023
- 2022Reconfigurable Intelligent Surface-assisted Classification of Modulations using Deep Learning17 Sep 2022
- 2022DRL Enabled Coverage and Capacity Optimization in STAR-RIS Assisted Networks1 Sep 2022
- 2022Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces8 May 2022
- 2022Intelligent Trajectory Design for RIS-NOMA aided Multi-robot Communications3 May 2022
- 2022Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods28 Apr 2022
- 2022Interpretable AI-based Large-scale 3D Pathloss Prediction Model for enabling Emerging Self-Driving Networks30 Jan 2022
- 2021Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent Surfaces21 Dec 2021
- 2021Autoencoder-based Communications with Reconfigurable Intelligent Surfaces8 Dec 2021
- 2021Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges14 Nov 2021
- 2021A Robust Deep Learning-Based Beamforming Design for RIS-assisted Multiuser MISO Communications with Practical Constraints12 Nov 2021
- 2021Beyond 5G RIS mmWave Systems: Where Communication and Localization Meet16 Sep 2021
- 2021RIS-assisted UAV Communications for IoT with Wireless Power Transfer Using Deep Reinforcement Learning5 Aug 2021
- 2021Learning to Estimate RIS-Aided mmWave Channels27 Jul 2021
- 2021Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA3 Apr 2021
- 2021Graph Attention Networks for Channel Estimation in RIS-assisted Satellite IoT Communications1 Apr 2021
- 2021Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfaces31 Mar 2021
- 2021Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design22 Jan 2021
- 2021Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challengescited by 12
- 2022Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfacescited by 12
- 2024Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networkscited by 12
- 2021Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Designcited by 10
- 2023Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semanticscited by 5
- 2021Learning to Estimate RIS-Aided mmWave Channelscited by 4
- 2021A Robust Deep Learning-Based Beamforming Design for RIS-assisted Multiuser MISO Communications with Practical Constraintscited by 3
- 2021Autoencoder-based Communications with Reconfigurable Intelligent Surfacescited by 3
- 2023Localization with Reconfigurable Intelligent Surface: An Active Sensing Approachcited by 3
- 2021Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfacescited by 2
- 2021RIS-assisted UAV Communications for IoT with Wireless Power Transfer Using Deep Reinforcement Learningcited by 2
- 2021Graph Attention Networks for Channel Estimation in RIS-assisted Satellite IoT Communicationscited by 1
12 most cited of 34 All 34 (JSON)
- 2026A 3GPP-Compliant Benchmark Dataset for RIS-Aided Beyond 5G Networks30 Sep 2026
- 2026A Particle-Swarm-Assisted Gradient Meta-Learning Algorithm for Joint Transmit Precoding and STAR-RIS Coefficient Optimization24 Sep 2026
- 2026Diffusion-Based Inverse Design of Dielectric Resonator Metasurfaces for Shaping Smart Electromagnetic Environments30 Aug 2026
- 2026Convergence-Latency-Aware Adaptive Modulation and Resource Allocation in RIS-Assisted Wireless Federated Learning22 Jul 2026
- 2026Optimization Algorithms for Joint OFDM Waveform Design and RIS Configuration in 6G Networks: From Convex Relaxation to Foundation Models30 Jun 2026
- 2026AI-Empowered UAV-Assisted Backscatter Localization and ISAC for Zero-Energy IoT: A Comprehensive Survey22 Jun 2026
- 2026Spectral- and Energy-efficient Multi-BS Multi-RIS Pinching-antenna Systems: A GNN-based Approach2 May 2026
- 2026Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directions27 Apr 2026
- 2025RIS-Assisted Downlink Pinching-Antenna Systems: GNN-Enabled Optimization Approaches25 Nov 2025
- 2025Unsupervised Learning-Based Joint Resource Allocation and Beamforming Design for RIS-Assisted MISO-OFDMA Systems12 Jun 2025
- 2025Beamforming and Resource Allocation for Delay Minimization in RIS-Assisted OFDM Systems4 Jun 2025
- 2025A CNN-based End-to-End Learning for RIS-assisted Communication System18 Mar 2025
12 newest of 34 All 34 (JSON)