Intelligent Surfaces Empowered Wireless Network: Recent Advances and The Road to 6G
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Abstract (arXiv)
Intelligent surfaces (ISs) have emerged as a key technology to empower a wide range of appealing applications for wireless networks, due to their low cost, high energy efficiency, flexibility of deployment and capability of constructing favorable wireless channels/radio environments. Moreover, the recent advent of several new IS architectures further expanded their electromagnetic functionalities from passive reflection to active amplification, simultaneous reflection and refraction, as well as holographic beamforming. However, the research on ISs is still in rapid progress and there have been recent technological advances in ISs and their emerging applications that are worthy of a timely review. Thus, we provide in this paper a comprehensive survey on the recent development and advances of ISs aided wireless networks. Specifically, we start with an overview on the anticipated use cases of ISs in future wireless networks such as 6G, followed by a summary of the recent standardization activities related to ISs. Then, the main design issues of the commonly adopted reflection-based IS and their state-of-the-art solutions are presented in detail, including reflection optimization, deployment, signal modulation, wireless sensing, and integrated sensing and communications. Finally, recent progress and new challenges in advanced IS architectures are discussed to inspire futrue research.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Dec 2023.
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Citing papers per year: 2024: 2; 2025: 5; 2026: 2.
9 papers.
- 2025Diffusion Models for Future Networks and Communications: A Comprehensive Surveycited by 6
- 2025Achieving Robust Channel Estimation Neural Networks by Designed Training Datacited by 1
- 2024Optimal Beamforming of RIS-Aided Wireless Communications: An Alternating Inner Product Maximization Approachcited by 0
- 2024Optimal Configuration of Reconfigurable Intelligent Surfaces With Non-uniform Phase Quantizationcited by 0
- 2025Learning Beamforming Codebooks for Active Sensing with Reconfigurable Intelligent Surfacecited by 0
- 2025Neural Channel Knowledge Map Assisted Scheduling Optimization of Active IRSs in Multi-User Systemscited by 0
- 2025Adaptive Learning for IRS-Assisted Wireless Networks: Securing Opportunistic Communications Against Byzantine Eavesdropperscited by 0
- 2026Hybrid Mamba-Attention Neural Architecture for Channel Estimationcited by 0
- 2026When Agentic AI Meets Integrated Sensing and Communicationcited by 0
- 2026When Agentic AI Meets Integrated Sensing and Communication6 Aug 2026
- 2026Hybrid Mamba-Attention Neural Architecture for Channel Estimation23 Jan 2026
- 2025Adaptive Learning for IRS-Assisted Wireless Networks: Securing Opportunistic Communications Against Byzantine Eavesdroppers11 Aug 2025
- 2025Neural Channel Knowledge Map Assisted Scheduling Optimization of Active IRSs in Multi-User Systems9 Aug 2025
- 2025Diffusion Models for Future Networks and Communications: A Comprehensive Survey3 Aug 2025
- 2025Achieving Robust Channel Estimation Neural Networks by Designed Training Data16 Jul 2025
- 2025Learning Beamforming Codebooks for Active Sensing with Reconfigurable Intelligent Surface24 Mar 2025
- 2024Optimal Configuration of Reconfigurable Intelligent Surfaces With Non-uniform Phase Quantization11 May 2024
- 2024Optimal Beamforming of RIS-Aided Wireless Communications: An Alternating Inner Product Maximization Approach10 May 2024