Intelligent Reflecting Surface Aided Wireless Communications: A Tutorial
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Abstract (arXiv)
Intelligent reflecting surface (IRS) is an enabling technology to engineer the radio signal prorogation in wireless networks. By smartly tuning the signal reflection via a large number of low-cost passive reflecting elements, IRS is capable of dynamically altering wireless channels to enhance the communication performance. It is thus expected that the new IRS-aided hybrid wireless network comprising both active and passive components will be highly promising to achieve a sustainable capacity growth cost-effectively in the future. Despite its great potential, IRS faces new challenges to be efficiently integrated into wireless networks, such as reflection optimization, channel estimation, and deployment from communication design perspectives. In this paper, we provide a tutorial overview of IRS-aided wireless communication to address the above issues, and elaborate its reflection and channel models, hardware architecture and practical constraints, as well as various appealing applications in wireless networks. Moreover, we highlight important directions worthy of further investigation in future work.
Key facts. Cited by 26 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Jul 2020.
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Citing papers per year: 2021: 6; 2022: 3; 2023: 0; 2024: 6; 2025: 8; 2026: 3.
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- 2021Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applicationscited by 96
- 2022Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfacescited by 12
- 2021CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surfacecited by 3
- 2025Decision Transformers for RIS-Assisted Systems with Diffusion Model-Based Channel Acquisitioncited by 3
- 2021Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learningcited by 2
- 2024Deep-Learning Channel Estimation for IRS-Assisted Integrated Sensing and Communication Systemcited by 2
- 2025DNN-Based Precoding in RIS-Aided mmWave MIMO Systems With Practical Phase Shiftcited by 2
- 2021Channel Estimation and Hybrid Architectures for RIS-Assisted Communicationscited by 1
- 2021Untrained DNN for Channel Estimation of RIS-Assisted Multi-User OFDM System with Hardware Impairmentscited by 1
- 2022Collaborative Intelligent Reflecting Surface Networks with Multi-Agent Reinforcement Learningcited by 1
- 2024Deep-Learning-Based Channel Estimation for IRS-Assisted ISAC Systemcited by 1
- 2024Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning Approachcited by 1
14 more
- 2025RIS-Assisted Downlink Pinching-Antenna Systems: GNN-Enabled Optimization Approachescited 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
- 2024QoS Improvement in Multi User Cellular-Symbiotic Radio Network Assisted by Active-STAR-RIScited by 0
- 2024Explainable Adversarial Learning Framework on Physical Layer Secret Keys Combating Malicious Reconfigurable Intelligent Surfacecited by 0
- 2024Machine Learning-Based Channel Prediction for RIS-assisted MIMO Systems With Channel Agingcited by 0
- 2025Multi-beam Beamforming in RIS-aided MIMO Subject to Reradiation Mask Constraints -- Optimization and Machine Learning Designcited by 0
- 2025Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networkscited 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
- 2025RIS-Enabled Smart Wireless Environments: Fundamentals and Distributed Optimizationcited by 0
- 2026Spectral- and Energy-efficient Multi-BS Multi-RIS Pinching-antenna Systems: A GNN-based Approachcited by 0
- 2026Multi-Block Attention for Efficient Channel Estimation in IRS-Assisted mmWave MIMOcited by 0
- 2026Optimization Algorithms for Joint OFDM Waveform Design and RIS Configuration in 6G Networks: From Convex Relaxation to Foundation Modelscited by 0
- 2026Optimization Algorithms for Joint OFDM Waveform Design and RIS Configuration in 6G Networks: From Convex Relaxation to Foundation Models30 Jun 2026
- 2026Multi-Block Attention for Efficient Channel Estimation in IRS-Assisted mmWave MIMO14 May 2026
- 2026Spectral- and Energy-efficient Multi-BS Multi-RIS Pinching-antenna Systems: A GNN-based Approach2 May 2026
- 2025RIS-Enabled Smart Wireless Environments: Fundamentals and Distributed Optimization21 Dec 2025
- 2025RIS-Assisted Downlink Pinching-Antenna Systems: GNN-Enabled Optimization Approaches25 Nov 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
- 2025Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks27 Aug 2025
- 2025Multi-beam Beamforming in RIS-aided MIMO Subject to Reradiation Mask Constraints -- Optimization and Machine Learning Design21 Jul 2025
- 2025DNN-Based Precoding in RIS-Aided mmWave MIMO Systems With Practical Phase Shift3 Jul 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
14 more
- 2024Machine Learning-Based Channel Prediction for RIS-assisted MIMO Systems With Channel Aging9 May 2024
- 2024Explainable Adversarial Learning Framework on Physical Layer Secret Keys Combating Malicious Reconfigurable Intelligent Surface6 Feb 2024
- 2024Deep-Learning Channel Estimation for IRS-Assisted Integrated Sensing and Communication System29 Jan 2024
- 2024Deep-Learning-Based Channel Estimation for IRS-Assisted ISAC System29 Jan 2024
- 2024QoS Improvement in Multi User Cellular-Symbiotic Radio Network Assisted by Active-STAR-RIS16 Jan 2024
- 2022Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces8 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
- 2021Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications24 Nov 2021
- 2021Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning6 Sep 2021
- 2021Untrained DNN for Channel Estimation of RIS-Assisted Multi-User OFDM System with Hardware Impairments13 Jul 2021
- 2021Channel Estimation and Hybrid Architectures for RIS-Assisted Communications14 Apr 2021
- 2021CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surface22 Feb 2021
- 2021Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing6 Feb 2021
- 2021Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applicationscited by 96
- 2022Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfacescited by 12
- 2021CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surfacecited by 3
- 2021Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learningcited by 2
- 2024Deep-Learning Channel Estimation for IRS-Assisted Integrated Sensing and Communication Systemcited by 2
- 2025DNN-Based Precoding in RIS-Aided mmWave MIMO Systems With Practical Phase Shiftcited by 2
- 2021Channel Estimation and Hybrid Architectures for RIS-Assisted Communicationscited by 1
- 2021Untrained DNN for Channel Estimation of RIS-Assisted Multi-User OFDM System with Hardware Impairmentscited by 1
- 2022Collaborative Intelligent Reflecting Surface Networks with Multi-Agent Reinforcement Learningcited by 1
- 2024Deep-Learning-Based Channel Estimation for IRS-Assisted ISAC Systemcited by 1
- 2024Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning Approachcited by 1
- 2025RIS-Assisted Downlink Pinching-Antenna Systems: GNN-Enabled Optimization Approachescited by 1
12 most cited of 25 All 25 (JSON)
- 2026Optimization Algorithms for Joint OFDM Waveform Design and RIS Configuration in 6G Networks: From Convex Relaxation to Foundation Models30 Jun 2026
- 2026Multi-Block Attention for Efficient Channel Estimation in IRS-Assisted mmWave MIMO14 May 2026
- 2026Spectral- and Energy-efficient Multi-BS Multi-RIS Pinching-antenna Systems: A GNN-based Approach2 May 2026
- 2025RIS-Enabled Smart Wireless Environments: Fundamentals and Distributed Optimization21 Dec 2025
- 2025RIS-Assisted Downlink Pinching-Antenna Systems: GNN-Enabled Optimization Approaches25 Nov 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
- 2025Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks27 Aug 2025
- 2025Multi-beam Beamforming in RIS-aided MIMO Subject to Reradiation Mask Constraints -- Optimization and Machine Learning Design21 Jul 2025
- 2025DNN-Based Precoding in RIS-Aided mmWave MIMO Systems With Practical Phase Shift3 Jul 2025
- 2024Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning Approach19 Jun 2024
- 2024Machine Learning-Based Channel Prediction for RIS-assisted MIMO Systems With Channel Aging9 May 2024
12 newest of 25 All 25 (JSON)