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Compressed Channel Estimation for Intelligent Reflecting Surface-Assisted Millimeter Wave Systems
Open accessAbstract
In this letter, we consider channel estimation for intelligent reflecting surface (IRS)-assisted millimeter wave (mmWave) systems, where an IRS is deployed to assist the data transmission from the base station (BS) to a user. It is shown that for the purpose of joint active and passive beamforming, the knowledge of a large-size cascade channel matrix needs to be acquired. To reduce the training overhead, the inherent sparsity in mmWave channels is exploited. By utilizing properties of Katri-Rao and Kronecker products, we find a sparse representation of the cascade channel and convert cascade channel estimation into a sparse signal recovery problem. Simulation results show that our proposed method can provide an accurate channel estimate and achieve a substantial training overhead reduction.
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Cited by
Prospective Multiple Antenna Technologies for Beyond 5G
Zhang, J., Bjornson, E., Matthaiou, M., Ng, D. W. K., Yang, H., & Love, D. J. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3000826 · Cited by 877
Zheng, B., You, C., Mei, W., & Zhang, R. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3155305 · Cited by 579
Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities
Khan, L. U., Han, Z., Saad, W., Hossain, E., Guizani, M., & Hong, C. S. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3198273 · Cited by 322
Channel Estimation for RIS-Aided mmWave MIMO Systems via Atomic Norm Minimization
He, J., Wymeersch, H., & Juntti, M. (2021) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3070064 · Cited by 319
Beamforming Technologies for Ultra-Massive MIMO in Terahertz Communications
Ning, B., Tian, Z., Mei, W., Chen, Z., Han, C., Li, S., Yuan, J., & Zhang, R. (2023) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2023.3245669 · Cited by 270
Metadata
- Authors
- Wang, P., Fang, J., Duan, H., & Li, H.
- Venue
- IEEE Signal Processing Letters
- Published
- 2020
- Volume
- 27
- Pages
- 905-909
- ISSN
- 1070-9908 (ISSN-L)
- 1558-2361
- OpenAlex
- W2985466239
- Cited by
- 530
- References
- 0
- FWCI
- 26.50
- Type
- journal article
- Language
- en
- Open access
- green
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- Wang, P., Fang, J., Duan, H., & Li, H. (2020). Compressed Channel Estimation for Intelligent Reflecting Surface-Assisted Millimeter Wave Systems. IEEE Signal Processing Letters. https://doi.org/10.1109/lsp.2020.2998357
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