4
Innovations in 5G backhaul technologies, Tech. Rep., 5G Americas, 2020.
13
G. C. Alexandropoulos, G. Lerosey, M. Debbah, and M. Fink, Reconfigurable intelligent surfaces and metamaterials: The potential of wave propagation control for 6G wireless communications, IEEE ComSoc TCCN Newslett., vol. 6, no. 1, pp. 25–37, 2020.
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J. -P. Niu and G. Y. Li, An overview on backscatter communications, J. Commun. Inf. Netw., vol. 4, no. 2, pp. 1–14, 2019.
44
K. Chen-Hu, G. C. Alexandropoulos, and A. G. Armada, Non-coherent MIMO-OFDM uplink empowered by the spatial diversity in reflecting surfaces, arXiv preprint arXiv: 2202.02035, 2022.
46
E. Basar, Reconfigurable intelligent surfaces for Doppler effect and multipath fading mitigation, Frontiers Commun. Netw., doi. 10.3389/frcmn.2021.672857.
56
K. Stylianopoulos, N. Shlezinger, P. D. Hougne, and G. C. Alexandropoulos, Deep-learning-assisted configuration of reconfigurable intelligent surfaces in dynamic rich-scattering environments, arXiv preprint arXiv: 2202.07884, 2022.
82
C. Zhang, W. Yi, Y. Liu, Z. Ding, and L. Song, STAR-IOS aided NOMA networks: Channel model approximation and performance analysis, arXiv preprint arXiv: 2107.01543, 2021.
83
H. Zhang, S. Zeng, B. Di, Y. Tan, M. D. Renzo, M. Debbah, L. Song, Z. Han, and H. V. Poor, Intelligent omni-surfaces for full-dimensional wireless communications: Principle, technology, and implementation, arXiv preprint arXiv: 2104.12313, 2021.
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J. Xu, Y. Liu, X. Mu, R. Schober, and H. V. Poor, STAR-RISs: A correlated T&R phase-shift model and practical phase-shift configuration strategies, arXiv preprint arXiv: 2112.00299, 2021.
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Y. Liu, X. Mu, R. Schober, and H. V. Poor, Simultaneously transmitting and reflecting (STAR)-RISs: A coupled phase-shift model, arXiv preprint arXiv: 2110.02374, 2021.
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A. Mokh, J. D. Rosny, G. C. Alexandropoulos, R. Khayatzadeh, A. Ourir, M. Kamoun, A. Tourin, and M. Fink, Time reversal for multiple access and mobility: Algorithmic design and experimental results, presented at IEEE WCNC, Austin, TX, USA, 2022.
102
K. D. Katsanos, N. Shlezinger, M. F. Imani, and G. C. Alexandropoulos, Wideband multi-user MIMO communications with frequency selective RISs: Element response modeling and sum-rate maximization, arXiv preprint arXiv: 2202.02169, 2022.
110
S. W. Ellingson, Path loss in reconfigurable intelligent surface-enabled channels, arXiv preprint arXiv: 1912.06759, 2019.
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G. Gradoni and M. D. Renzo, End-to-end mutual coupling aware communication model for reconfigurable intelligent surfaces: An electromagnetic-compliant approach based on mutual impedances, arXiv preprint arXiv: 2009.02694, 2020.
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Study on channel model for frequencies from 0.5 to 100 GHz, 3GPP TR 38.901 V16.1. 0, 2020.
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L. Wei, C. Huang, G. C. Alexandropoulos, W. E. I. Sha, Z. Zhang, M. Debbah, and C. Yuen, Multi-user holographic MIMO surface: Channel modeling and spectral efficiency analysis, arXiv preprint arXiv: 2112.02803, 2021.
141
K. Zhi, C. Pan, H. Ren, K. Wang, M. Elkashlan, M. D. Renzo, R. Schober, H. V. Poor, J. Wang, and L. Hanzo, Two-timescale design for reconfigurable intelligent surface-aided massive MIMO systems with imperfect CSI, arXiv preprint arXiv: 2108.07622, 2021.
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S. E. Zegrar, L. Afeef, and H. Arslan, Reconfigurable intelligent surface (RIS): Eigenvalue decomposition-based separate channel estimation, in Proc. 2021 IEEE 32ndPIMRC, Helsinki, Finland, 2021, pp. 1–6.
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J. Yuan, G. C. Alexandropoulos, E. Kofidis, T. L. Jensen, and E. D. Carvalho, Tensor-based channel tracking for RIS-empowered multi-user MIMO wireless systems, arXiv preprint arXiv: 2202.08315, 2022.
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M. Xu, S. Zhang, J. Ma, and O. A. Dobre, Deep learning-based time-varying channel estimation for RIS assisted communication, arXiv preprint arXiv: 2108.05661, 2021.
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W. Han, P. Chen, and Z. Cao, Deep neural network-based quantized signal reconstruction for DOA estimation, arXiv preprint arXiv: 2005.01102, 2020.