A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications
Open accessAbstract
Intelligent reflecting surface (IRS) has emerged as a key enabling technology to realize smart and reconfigurable radio environment for wireless communications, by digitally controlling the signal reflection via a large number of passive reflecting elements in real time. Different from conventional wireless communication techniques that only adapt to but have no or limited control over dynamic wireless channels, IRS provides a new and cost-effective means to combat the wireless channel impairments in a proactive manner. However, despite its great potential, IRS faces new and unique challenges in its efficient integration into wireless communication systems, especially its channel estimation and passive beamforming design under various practical hardware constraints. In this paper, we provide a comprehensive survey on the up-to-date research in IRS-aided wireless communications, with an emphasis on the promising solutions to tackle practical design issues. Furthermore, we discuss new and emerging IRS architectures and applications as well as their practical design problems to motivate future research.
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Flexible intelligent metasurfaces have been created by depositing an array of dielectric inclusions onto a soft, conformal substrate such as polydimethylsiloxane.
“In addition, fl exible intelligent metasurfaces (FIM) have been created by depositing an array of dielectric inclusions onto a soft, conformal substrate such as polydimethylsiloxane (PDMS) [17], [18].”
From Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications (2026) · cites this paper as [17]
The IRS channel-estimation passage discusses reflective and transmitting metasurfaces, but not flexible fabrication or substrate materials. Searches for polydimethylsiloxane, dielectric inclusions, and flexible substrates found no passage in our copy describing the claimed construction. (LLM, conf=0.72)
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Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications
An, J., Debbah, M., Cui, T. J., Chen, Z. N., & Yuen, C. (2026) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2025.3571069 · Cited by 72 · see citing works
“While several recent survey papers [8], [12], [14], [15], [16], [17], [18], [32] have examined the same topic, they have primarily focused on 2-”
Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications
An, J., Debbah, M., Cui, T. J., Chen, Z. N., & Yuen, C. (2024) · arXiv · Cited by 72 · see citing works
“While several recent survey papers [8], [12], [14], [15], [16], [17], [18], [32] have examined the same topic, they have primarily focused on 2-”
- Authors
- Zheng, B., You, C., Mei, W., & Zhang, R.
- Affiliations
- National University of Singapore (SG)
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2022
- Volume
- 24
- Issue
- 2
- Pages
- 1035-1071
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- OpenAlex
- W3204184545
- Cited by
- 579
- References
- 2
- Citations by year
- 2026: 82 · 2025: 150 · 2024: 146 · 2023: 142 · 2022: 57 · 2021: 2
- FWCI
- 33.90
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- IEEE Communications Surveys & Tutorials (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Ministry of Education, Singapore (T2EP50120-0024)
- Advanced Research and Technology Innovation Centre (ARTIC) of National University of Singapore (R-261-518-005-720)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
- Physical Sciences › Engineering › Aerospace Engineering › Advanced Antenna and Metasurface Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Millimeter-Wave Propagation and Modeling
- Keywords
- reconfigurable intelligent surface, channel estimation, passive beamforming, hardware constraints, wireless channel impairments
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