Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network
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Abstract (arXiv)
Although the fifth-generation (5G) technologies will significantly improve the spectrum and energy efficiency of today's wireless communication networks, their high complexity and hardware cost as well as increasingly more energy consumption are still crucial issues to be solved. Furthermore, despite that such technologies are generally capable of adapting to the space and time varying wireless environment, the signal propagation over it is essentially random and largely uncontrollable. Recently, intelligent reflecting surface (IRS) has been proposed as a revolutionizing solution to address this open issue, by smartly reconfiguring the wireless propagation environment with the use of massive low-cost, passive, reflective elements integrated on a planar surface. Specifically, different elements of an IRS can independently reflect the incident signal by controlling its amplitude and/or phase and thereby collaboratively achieve fine-grained three-dimensional (3D) passive beamforming for signal enhancement or cancellation. In this article, we provide an overview of the IRS technology, including its main applications in wireless communication, competitive advantages over existing technologies, hardware architecture as well as the corresponding new signal model. We focus on the key challenges in designing and implementing the new IRS-aided hybrid (with both active and passive components) wireless network, as compared to the traditional network comprising active components only. Furthermore, numerical results are provided to show the potential for significant performance enhancement with the use of IRS in typical wireless network scenarios.
Key facts. Cited by 35 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 May 2019.
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Citing papers per year: 2021: 7; 2022: 9; 2023: 2; 2024: 3; 2025: 9; 2026: 5.
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- 2022Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfacescited by 12
- 2021Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Designcited by 10
- 2021A Robust Deep Learning-Based Beamforming Design for RIS-assisted Multiuser MISO Communications with Practical Constraintscited by 3
- 2023Digital Twin-Aided Learning for Managing Reconfigurable Intelligent Surface-Assisted, Uplink, User-Centric Cell-Free Systemscited by 3
- 2025Decision Transformers for RIS-Assisted Systems with Diffusion Model-Based Channel Acquisitioncited by 3
- 2025Federated Deep Reinforcement Learning for Energy Efficient Multi-Functional RIS-Assisted Low-Earth Orbit Networkscited by 3
- 2021Deep Learning Based RIS Channel Extrapolation with Element-groupingcited by 2
- 2021Federated learning and next generation wireless communications: A survey on bidirectional relationshipcited by 2
- 2022On-Demand Resource Management for 6G Wireless Networks Using Knowledge-Assisted Dynamic Neural Networkscited by 2
- 2025Channel Estimation for RIS-Assisted mmWave Systems via Diffusion Modelscited by 2
- 2025Multi-Functional RIS-Enabled in SAGIN for IoT: A Hybrid Deep Reinforcement Learning Approach with Compressed Twin-Modelscited by 2
- 2021Graph Attention Networks for Channel Estimation in RIS-assisted Satellite IoT Communicationscited by 1
23 more
- 2021Channel Estimation and Hybrid Architectures for RIS-Assisted Communicationscited by 1
- 2022Collaborative Intelligent Reflecting Surface Networks with Multi-Agent Reinforcement Learningcited by 1
- 2022Matching Pursuit Based Scheduling for Over-the-Air Federated Learningcited by 1
- 2024Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning Approachcited by 1
- 2026Parametrized Sharing for Multi-Agent Hybrid DRL for Multiple Multi-Functional RISs-Aided Downlink NOMA Networkscited by 1
- 2021Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computingcited 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
- 2022Deep Reinforcement Learning-Based Adaptive IRS Control with Limited Feedback Codebookscited by 0
- 2022RIS-ADMM: A RIS and ADMM-Based Passive and Sparse Sensing Method With Interference Removalcited by 0
- 2022Machine Learning for Metasurfaces Design and Their Applicationscited by 0
- 2023Active RIS-aided EH-NOMA Networks: A Deep Reinforcement Learning Approachcited by 0
- 2024Explainable Adversarial Learning Framework on Physical Layer Secret Keys Combating Malicious Reconfigurable Intelligent Surfacecited by 0
- 2024Multi-stream Transmission for Directional Modulation Network via Distributed Multi-UAV-aided Multi-active-IRScited by 0
- 2025Learning Beamforming Codebooks for Active Sensing with Reconfigurable Intelligent Surfacecited by 0
- 2025Deep Learning Optimization of Two-State Pinching Antennas Systemscited by 0
- 2025Capacity-Net-Based RIS Precoding Design without Channel Estimation for mmWave MIMO Systemcited by 0
- 2025When UAV Swarm Meets IRS: Collaborative Secure Communications in Low-altitude Wireless Networkscited by 0
- 2025Sum Rate Maximization in STAR-RIS-UAV-Assisted Networks: A CA-DDPG Approach for Joint Optimizationcited by 0
- 2026Aerial Multi-Functional RIS in Fluid Antennas-Aided Full-Duplex Networks: A Self-Optimized Hybrid Deep Reinforcement Learning Approachcited by 0
- 2026AI-Empowered UAV-Assisted Backscatter Localization and ISAC for Zero-Energy IoT: A Comprehensive Surveycited by 0
- 2026Active Sensing for RIS-Aided Tracking and Power Control: A Hybrid Neuroevolution and Supervised Learning Approachcited by 0
- 2026Diffusion-Based Inverse Design of Dielectric Resonator Metasurfaces for Shaping Smart Electromagnetic Environmentscited by 0
- 2026Diffusion-Based Inverse Design of Dielectric Resonator Metasurfaces for Shaping Smart Electromagnetic Environments30 Aug 2026
- 2026Active Sensing for RIS-Aided Tracking and Power Control: A Hybrid Neuroevolution and Supervised Learning Approach30 Jun 2026
- 2026AI-Empowered UAV-Assisted Backscatter Localization and ISAC for Zero-Energy IoT: A Comprehensive Survey22 Jun 2026
- 2026Aerial Multi-Functional RIS in Fluid Antennas-Aided Full-Duplex Networks: A Self-Optimized Hybrid Deep Reinforcement Learning Approach15 Apr 2026
- 2026Parametrized Sharing for Multi-Agent Hybrid DRL for Multiple Multi-Functional RISs-Aided Downlink NOMA Networks2 Jan 2026
- 2025Sum Rate Maximization in STAR-RIS-UAV-Assisted Networks: A CA-DDPG Approach for Joint Optimization1 Dec 2025
- 2025When UAV Swarm Meets IRS: Collaborative Secure Communications in Low-altitude Wireless Networks25 Oct 2025
- 2025Capacity-Net-Based RIS Precoding Design without Channel Estimation for mmWave MIMO System30 Sep 2025
- 2025Multi-Functional RIS-Enabled in SAGIN for IoT: A Hybrid Deep Reinforcement Learning Approach with Compressed Twin-Models22 Jul 2025
- 2025Deep Learning Optimization of Two-State Pinching Antennas Systems8 Jul 2025
- 2025Channel Estimation for RIS-Assisted mmWave Systems via Diffusion Models9 Jun 2025
- 2025Learning Beamforming Codebooks for Active Sensing with Reconfigurable Intelligent Surface24 Mar 2025
23 more
- 2025Federated Deep Reinforcement Learning for Energy Efficient Multi-Functional RIS-Assisted Low-Earth Orbit Networks19 Jan 2025
- 2025Decision Transformers for RIS-Assisted Systems with Diffusion Model-Based Channel Acquisition14 Jan 2025
- 2024Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning Approach19 Jun 2024
- 2024Multi-stream Transmission for Directional Modulation Network via Distributed Multi-UAV-aided Multi-active-IRS26 Mar 2024
- 2024Explainable Adversarial Learning Framework on Physical Layer Secret Keys Combating Malicious Reconfigurable Intelligent Surface6 Feb 2024
- 2023Active RIS-aided EH-NOMA Networks: A Deep Reinforcement Learning Approach11 Apr 2023
- 2023Digital Twin-Aided Learning for Managing Reconfigurable Intelligent Surface-Assisted, Uplink, User-Centric Cell-Free Systems10 Feb 2023
- 2022Machine Learning for Metasurfaces Design and Their Applications2 Nov 2022
- 2022On-Demand Resource Management for 6G Wireless Networks Using Knowledge-Assisted Dynamic Neural Networks2 Aug 2022
- 2022Matching Pursuit Based Scheduling for Over-the-Air Federated Learning14 Jun 2022
- 2022RIS-ADMM: A RIS and ADMM-Based Passive and Sparse Sensing Method With Interference Removal25 May 2022
- 2022Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces8 May 2022
- 2022Deep Reinforcement Learning-Based Adaptive IRS Control with Limited Feedback Codebooks7 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
- 2022Collaborative Intelligent Reflecting Surface Networks with Multi-Agent Reinforcement Learning26 Mar 2022
- 2021A Robust Deep Learning-Based Beamforming Design for RIS-assisted Multiuser MISO Communications with Practical Constraints12 Nov 2021
- 2021Federated learning and next generation wireless communications: A survey on bidirectional relationship14 Oct 2021
- 2021Deep Learning Based RIS Channel Extrapolation with Element-grouping14 May 2021
- 2021Channel Estimation and Hybrid Architectures for RIS-Assisted Communications14 Apr 2021
- 2021Graph Attention Networks for Channel Estimation in RIS-assisted Satellite IoT Communications1 Apr 2021
- 2021Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing6 Feb 2021
- 2021Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design22 Jan 2021
- 2022Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfacescited by 12
- 2021Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Designcited by 10
- 2021A Robust Deep Learning-Based Beamforming Design for RIS-assisted Multiuser MISO Communications with Practical Constraintscited by 3
- 2023Digital Twin-Aided Learning for Managing Reconfigurable Intelligent Surface-Assisted, Uplink, User-Centric Cell-Free Systemscited by 3
- 2025Federated Deep Reinforcement Learning for Energy Efficient Multi-Functional RIS-Assisted Low-Earth Orbit Networkscited by 3
- 2021Deep Learning Based RIS Channel Extrapolation with Element-groupingcited by 2
- 2021Federated learning and next generation wireless communications: A survey on bidirectional relationshipcited by 2
- 2022On-Demand Resource Management for 6G Wireless Networks Using Knowledge-Assisted Dynamic Neural Networkscited by 2
- 2025Channel Estimation for RIS-Assisted mmWave Systems via Diffusion Modelscited by 2
- 2025Multi-Functional RIS-Enabled in SAGIN for IoT: A Hybrid Deep Reinforcement Learning Approach with Compressed Twin-Modelscited by 2
- 2021Graph Attention Networks for Channel Estimation in RIS-assisted Satellite IoT Communicationscited by 1
- 2021Channel Estimation and Hybrid Architectures for RIS-Assisted Communicationscited by 1
12 most cited of 34 All 34 (JSON)
- 2026Diffusion-Based Inverse Design of Dielectric Resonator Metasurfaces for Shaping Smart Electromagnetic Environments30 Aug 2026
- 2026Active Sensing for RIS-Aided Tracking and Power Control: A Hybrid Neuroevolution and Supervised Learning Approach30 Jun 2026
- 2026AI-Empowered UAV-Assisted Backscatter Localization and ISAC for Zero-Energy IoT: A Comprehensive Survey22 Jun 2026
- 2026Aerial Multi-Functional RIS in Fluid Antennas-Aided Full-Duplex Networks: A Self-Optimized Hybrid Deep Reinforcement Learning Approach15 Apr 2026
- 2026Parametrized Sharing for Multi-Agent Hybrid DRL for Multiple Multi-Functional RISs-Aided Downlink NOMA Networks2 Jan 2026
- 2025Sum Rate Maximization in STAR-RIS-UAV-Assisted Networks: A CA-DDPG Approach for Joint Optimization1 Dec 2025
- 2025When UAV Swarm Meets IRS: Collaborative Secure Communications in Low-altitude Wireless Networks25 Oct 2025
- 2025Capacity-Net-Based RIS Precoding Design without Channel Estimation for mmWave MIMO System30 Sep 2025
- 2025Multi-Functional RIS-Enabled in SAGIN for IoT: A Hybrid Deep Reinforcement Learning Approach with Compressed Twin-Models22 Jul 2025
- 2025Deep Learning Optimization of Two-State Pinching Antennas Systems8 Jul 2025
- 2025Channel Estimation for RIS-Assisted mmWave Systems via Diffusion Models9 Jun 2025
- 2025Learning Beamforming Codebooks for Active Sensing with Reconfigurable Intelligent Surface24 Mar 2025
12 newest of 34 All 34 (JSON)