Low-Complexity Channel Estimation for Extremely Large-Scale MIMO in Near Field
Abstract: The extremely large-scale massive multiple-input multiple-output (XL-MIMO) has the potential to achieve boosted spectral efficiency and refined spatial resolution for future wireless networks. However, channel estimation for XL-MIMO is challenging since the large number of antennas results in high computational complexity with the near-field effect. In this letter, we propose a low-complexity sequential angle-distance channel estimation (SADCE) method for near-field XL-MIMO systems equipped with uniformly planar arrays (UPA). Specifically, we first successfully decouple the angle and distance parameters, which allows us to devise a two-dimensional discrete Fourier transform (2D-DFT) method for angle parameters estimation. Then, a low-complexity distance estimation method is proposed with a closed-form solution. Compared with existing methods, the proposed method achieves significant performance gain with noticeably reduced computational complexity.Numerical results verify the superiority of the proposed near-field channel estimation algorithm.
- M. Cui, Z. Wu, Y. Lu, X. Wei, and L. Dai, “Near-field MIMO communications for 6G: Fundamentals, challenges, potentials, and future directions,” IEEE Commun. Mag., vol. 61, no. 1, pp. 40–46, Jan. 2023.
- W. Xu, Z. Yang, D. W. K. Ng, M. Levorato, Y. C. Eldar, and M. Debbah, “Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing,” IEEE J. Sel. Topics Signal Process.,, vol. 17, no. 1, pp. 9–39, Jan. 2023.
- H. Lu and Y. Zeng, “Communicating with extremely large-scale array/surface: Unified modeling and performance analysis," IEEE Trans. Wireless Commun., vol. 21, no. 6, pp. 4039–4053, Jun. 2022.
- Y. Pan, C. Pan, S. Jin, and J. Wang, “Localization in the near field of a RIS-assisted mmWave/subTHz system” in Proc. IEEE Global Commun. Conf., Rio de Janeiro, Brazil, Dec. 2022, pp. 3905–3910.
- Y.-D. Huang and M. Barkat, “Near-field multiple source localization by passive sensor array,” IEEE Trans. Antennas Propag., vol. 39, no. 7, pp. 968–975, Jul. 1991.
- X. Zhang, W. Chen, W. Zheng, Z. Xia, and Y. Wang, “Localization of near-field sources: A reduced-dimension MUSIC algorithm,” IEEE Commun. Lett., vol. 22, no. 7, pp. 1422–1425, Jul. 2018.
- M. Cui and L. Dai, “Channel estimation for extremely large-scale MIMO: Far-field or near-field?” IEEE Trans. Commun., vol. 70, no. 4, pp. 2663–2677, Apr. 2022.
- Y. Zhang, X. Wu, and C. You, “Fast near-field beam training for extremely large-scale array,” IEEE Wireless Commun. Lett., vol. 11, no. 12, pp. 2625–2629, Dec. 2022.
- X. Wu, X. Yang, S. Ma, B. Zhou, and G. Yang,“Hybrid channel estimation for UPA-assisted millimeter-wave massive MIMO IoT systems,” IEEE Internet Things J., vol. 9, no. 4, pp. 2829–2842, Feb. 2022.
- Y. Pan, C. Pan, S. Jin, and J. Wang, “RIS-aided near-field localization and channel estimation for the terahertz system,” IEEE J. Sel. Topics Signal Process., vol. 17, no. 4, pp. 878–892, Jul. 2023.
- X. Gan, C. Zhong, C. Huang, and Z. Zhang, “RIS-assisted multi-user MISO communications exploiting statistical CSI,” IEEE Trans. Commun., vol. 69, no. 10, pp. 6781–6792, Oct. 2021.
- J. Xu, W. Xu, D. W. K. Ng, and A. L. Swindlehurst, “Secure communication for spatially sparse millimeter-wave massive MIMO channels via hybrid precoding,” IEEE Trans. Commun., vol. 68, no. 2, pp. 887–901, Feb. 2020.
- W. Shi, W. Xu, X. You, C. Zhao, and K. Wei, “Intelligent reflection enabling technologies for integrated and green Internet-of-Everything beyond 5G: Communication, sensing, and security,” IEEE Wireless Commun., vol. 30, no. 2, pp. 147–154, Apr. 2023.
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