Abstract
Channel state information acquisition is a crucial task for fully exploiting the appealing advantage of reconfigurable intelligent surface (RIS). In this paper, we develop a novel channel estimation strategy for practical RIS-assisted multiuser orthogonal frequency division multiplexing access (OFDMA) communication. Different from prior works which assume that the RIS has an ideal reflection model, in this work the channel estimation strategy is developed for a practical RIS reflection model by considering the amplitude-phase-frequency response of the reflected signals for wideband systems. To improve the accuracy and efficiency of the channel estimation, we propose a novel channel estimation method with pilot subcarrier allocation and RIS time-varying reflection pattern design. Simulation results demonstrate the superiority of our proposed channel estimation strategy.
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References
Yang, W., Li, H., Li, M., Liu, Y., & Liu, Q. (2021). Channel estimation for practical IRS-assisted OFDM systems. In Wireless communications and networking conference workshops (WCNCW) (pp. 1–6).
Andrews, J. G., Buzzi, S., Choi, W., Hanly, S. V., Lozano, A., Soong, A. C. K., & Zhang, J. C. (2014). What will 5G be? IEEE Journal on Selected Areas in Communications, 32(6), 1065–1082.
Zhang, Z., Xiao, Y., Ma, Z., Xiao, M., Ding, Z., Lei, X., Karagiannidis, G. K., & Fan, P. (2019). 6G wireless networks: Vision, requirements, architecture, and key technologies. IEEE Vehicular Technology Magazines, 14(3), 28–41.
Basar, E., & Poor, H. V. (2021). Present and future of reconfigurable intelligent surface-empowered communications [perspectives]. IEEE Signal Processing Magizines, 38(6), 146–152.
Liu, Y., et al. (2021). Reconfigurable intelligent surfaces: Principles and opportunities. IEEE Communications Surveys and Tutorials, 23(3), 1546–1577.
Wu, Q., Zhang, S., Zheng, B., You, C., & Zhang, R. (2021). Intelligent reflecting surface aided wireless communications: A tutorial. IEEE Transactions on Communications, 69(5), 3313–3351.
Wu, Q., & Zhang, R. (2019). Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming. IEEE Transactions on Wireless Communications, 18(11), 5394–5409.
Yuan, X., et al. (2021). Reconfigurable intelligent-surface empowered wireless communications: Challenges and opportunities. IEEE Wireless Communications, 28(2), 136–143.
Liu, R., Li, M., Liu, Q., & Swindlehurst, A. L. (2021). Intelligent reflecting surface based passive information transmission: A symbol-level precoding approach. IEEE Transactions on Vehicular Technology, 70(7), 6735–6749.
Wymeersch, H., He, J., Denis, B., Clemente, A., & Juntti, M. (2020). Radio localization and mapping with reconfigurable intelligent surfaces: Challenges, opportunities, and research directions. IEEE Vehicular Technology Magazines, 15(4), 52–61.
Di Renzo, M., et al. (2020). Smart radio environments empowered by reconfigurable intelligent surfaces: How it works, state of research, and road ahead. IEEE Journal on Selected Areas in Communications, 38(11), 2450–2525.
Swindlehurst, A. L., Zhou, G., Liu, R., Pan, C., & Li, M. (2022). Channel estimation with reconfigurable intelligent surfaces—A general framework. Proceedings of the IEEE, 110(9), 1312–1338.
Taha, A., Alrabeiah, M., & Alkhateeb, A. (2021). Enabling large intelligent surfaces with compressive sensing and deep learning. IEEE Access, 9, 44304–44321.
Alexandropoulos G. C., & Vlachos, E. (2020). A hardware architecture for reconfigurable intelligent surfaces with minimal active elements for explicit channel estimation. In IEEE international conference on acoustics, speech and signal processing (ICASSP) (pp. 9175–9179).
Schroeder, R., He, J., & Juntti, M. (2021). Passive RIS versus hybrid RIS: A comparative study on channel estimation. In IEEE vehicular technology conference (VTC2021-Spring) (pp. 9175–9179).
Zheng, B., You, C., Mei, W., & Zhang, R. (2022). A survey on channel estimation and practical passive beamforming design for intelligent reflecting surface aided wireless communications. IEEE Communications Surveys and Tutorials, 24(2), 1035–1071.
Mishra, D., Johansson, H. (2019). Channel estimation and low-complexity beamforming design for passive intelligent surface assisted MISO wireless energy transfer. In IEEE international conference on acoustics, speech and signal processing (ICASSP) (pp. 4659-4663).
You, C., Zheng, B., & Zhang, R. (2020). Intelligent reflecting surface with discrete phase shifts: Channel estimation and passive beamforming. In IEEE international conference on communications (ICC) (pp. 1–6).
Wang, Z., Liu, L., & Cui, S. (2020). Channel estimation for intelligent reflecting surface assisted multiuser communications: Framework, algorithms, and analysis. IEEE Transactions on Wireless Communications, 19(10), 6607–6620.
Nadeem, Q., Alwazani, H., Kammoun, A., Chaaban, A., Debbah, M., & Alouini, M. (2020). Intelligent reflecting surface-assisted multi-user MISO communication: Channel estimation and beamforming design. IEEE Open Journal of the Communications Society, 1, 661–680.
Guan, X., Wu, Q., & Zhang, R. (2022). Anchor-assisted intelligent reflecting surface channel estimation for multiuser communications. IEEE Transactions on Wireless Communications, 21(6), 3764–3778.
Wei, L., Huang, C., Alexandropoulos, G. C., Yuen, C., Zhang, Z., & Debbah, M. (2021). Channel estimation for RIS-empowered multi-user MISO wireless communications. IEEE Transactions on Communications, 69(6), 4144–4157.
Wei, Y., Zhao, M., Zhao, M., & Cai, Y. (2022). Channel estimation for IRS-aided multiuser communications with reduced error propagation. IEEE Transactions on Wireless Communications, 21(4), 2725–2741.
Hu, C., Dai, L., Han, S., & Wang, X. (2021). Two-timescale channel estimation for reconfigurable intelligent surface aided wireless communications. IEEE Transactions on Communications, 69(11), 7736–7747.
Yang, W., Li, M., & Liu, Q. (2022). A novel anchor-assisted channel estimation for RIS-aided multiuser communication systems. IEEE Communications Letters, 26(11), 2740–2744.
Yang, Y., Zheng, B., Zhang, S., & Zhang, R. (2020). Intelligent reflecting surface meets OFDM: Protocol design and rate maximization. IEEE Transactions on Communications, 68(7), 4522–4535.
Zheng, B., & Zhang, R. (2020). Intelligent reflecting surface-enhanced OFDM: Channel estimation and reflection optimization. IEEE Wireless Communications Letters, 9(4), 518–522.
Zheng, B., You, C., & Zhang, R. (2021). Fast channel estimation for IRS-assisted OFDM. IEEE Wireless Communications Letters, 10(3), 580–584.
Wan, Z., Gao, Z., & Alouini, M. (2020). Broadband channel estimation for intelligent reflection. In IEEE international conference on communications (ICC) (pp. 1–6).
Elbir, A., & Coleri, S. (2022). Federated learning for channel estimation in conventional and RIS-assisted massive MIMO. IEEE Transactions on Wireless Communications, 21(6), 4255–4268.
Zheng, B., You, C., & Zhang, R. (2020). Intelligent reflecting surface assisted multi-user OFDMA: Channel estimation and training design. IEEE Transactions on Wireless Communications, 19(12), 8315–8329.
Cai, W., Li, H., Li, M., & Liu, Q. (2020). Practical modeling and beamforming for intelligent reflecting surface aided wideband systems. IEEE Communications Letters, 24(7), 1568–1571.
Cai, W., Liu, R., Li, M., Liu, Y., Wu, Q., & Liu, Q. (2022). IRS-assisted multicell multiband systems: Practical reflection model and joint beamforming design. IEEE Transactions on Communications, 70(6), 3897–3911.
Li, H., Cai, W., Liu, Y., Li, M., Liu, Q., & Wu, Q. (2021). Intelligent reflecting surface enhanced wideband MIMO-OFDM communications: From practical model to reflection optimization. IEEE Transactions on Communications, 69(7), 4807–4820.
Li, D., Guo, F., Li, G., & Cai, L. (2006). Enhanced DFT interpolation-based channel estimation for OFDM systems with virtual subcarriers. In IEEE vehicular technology conference (VTC2006-Spring) (pp. 1580–1584).
Burden, R. L., & Faires, J. D. (1993). Numerical analysis, 5th ed.
Wu, Q., & Zhang, R. (2020). Beamforming optimization for wireless network aided by intelligent reflecting surface with discrete phase shifts. IEEE Transactions on Communications, 68(3), 1838–1851.
Ji, B., et al. (2021). Several key technologies for 6G: Challenges and opportunities. IEEE Communications Standards Magazine, 5(2), 44–51.
Chorti, A., et al. (2022). Context-aware security for 6G wireless: The role of physical layer security. IEEE Communications Standards Magazine, 6(1), 102–108.
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Liu, Q., Yang, W., Li, M. et al. A novel channel estimation strategy for practical RIS-aided wideband OFDMA communications. Wireless Netw 29, 3075–3089 (2023). https://doi.org/10.1007/s11276-023-03355-z
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DOI: https://doi.org/10.1007/s11276-023-03355-z