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Channel estimation is challenging for the reconfigurable intelligent surface (RIS)-aided wireless communications.
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E. Basar, M. Di Renzo, J. De Rosny, M. Debbah, M. Alouini, and R. Zhang, “Wireless communications through reconfigurable intelligent surfaces,” IEEE Access
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D. Mishra and H. Johansson, “Channel estimation and low-complexity beamforming design for passive intelligent surface assisted MISO wireless energy transfer,” in Proc. IEEE Int. Conf. Acoust., Speech Signal Process. (ICASSP’19)
2019
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2019
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2019
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A. Taha, M. Alrabeiah, and A. Alkhateeb, “Enabling large intelligent surfaces with compressive sensing and deep learning,” arXiv preprint arXiv: 1904.10136v2
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2019
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2019
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A. M. Elbir, A. Papazafeiropoulos, P. Kourtessis, and S. Chatzinotas, “Deep channel learning for large intelligent surfaces aided mm-Wave massive MIMO systems,” arXiv preprint:2001.11085v1
2020
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2019
Cited alongside, same era.
2019
Cited alongside, same era.
Z. He and X. Yuan, “Cascaded channel estimation for large intelligent metasurface assisted massive MIMO,” IEEE Wireless Commun. Lett
Cited in the paper.
Z. Wan, Z. Gao, and M. Alouini, “Broadband channel estimation for intelligent reflecting surface aided mmWave massive MIMO systems,” arXiv preprint: 2002.01629v1
2020
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L. Dai, B. Wang, M. Wang, X. Yang, J. Tan, S. Bi, S. Xu, F. Yang, Z. Chen, M. Di Renzo, and L. Hanzo, “Reconfigurable intelligent surface-based wireless communication: Antenna design, prototyping and experimental results,” IEEE Access
2020
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