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Wavefront Transformation-based Near-field Channel Prediction for Extremely Large Antenna Array with Mobility

Published 17 Nov 2023 in cs.IT and math.IT | (2312.02175v2)

Abstract: This paper addresses the mobility problem in extremely large antenna array (ELAA) communication systems. In order to account for the performance loss caused by the spherical wavefront of ELAA in the mobility scenario, we propose a wavefront transformation-based matrix pencil (WTMP) channel prediction method. In particular, we design a matrix to transform the spherical wavefront into a new wavefront, which is closer to the plane wave. We also design a time-frequency projection matrix to capture the time-varying path delay. Furthermore, we adopt the matrix pencil (MP) method to estimate channel parameters. Our proposed WTMP method can mitigate the effect of near-field radiation when predicting future channels. Theoretical analysis shows that the designed matrix is asymptotically determined by the angles and distance between the base station (BS) antenna array and the scatterers or the user when the number of BS antennas is large enough. For an ELAA communication system in the mobility scenario, we prove that the prediction error converges to zero with the increasing number of BS antennas. Simulation results demonstrate that our designed transform matrix efficiently mitigates the near-field effect, and that our proposed WTMP method can overcome the ELAA mobility challenge and approach the performance in stationary setting.

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References (24)
  1. T. L. Marzetta, “Noncooperative cellular wireless with unlimited numbers of base station antennas,” IEEE Trans. Wireless Commun., vol. 9, no. 11, pp. 3590–3600, Nov. 2010.
  2. X. Cheng, K. Xu, J. Sun, and S. Li, “Adaptive grouping sparse bayesian learning for channel estimation in non-stationary uplink massive MIMO systems,” IEEE Trans. Wireless Commun., vol. 18, no. 8, pp. 4184–4198, Aug. 2019.
  3. L. Wang, B. Ai, Y. Niu, H. Jiang, S. Mao, Z. Zhong, and N. Wang, “Joint user association and transmission scheduling in integrated mmwave access and terahertz backhaul networks,” IEEE Trans. Veh. Technol., pp. 1–11, 2023.
  4. C. Huang, A. Zappone, G. C. Alexandropoulos, M. Debbah, and C. Yuen, “Reconfigurable intelligent surfaces for energy efficiency in wireless communication,” IEEE Trans. Wireless Commun., vol. 18, no. 8, pp. 4157–4170, Aug. 2019.
  5. I. Podkurkov, G. Seidl, L. Khamidullina, A. Nadeev, and M. Haardt, “Tensor-based near-field localization using massive antenna arrays,” IEEE Trans. Signal Process., vol. 69, pp. 5830–5845, Aug. 2021.
  6. Y. Lu and L. Dai, “Near-field channel estimation in mixed LoS/NLoS environments for extremely large-scale MIMO systems,” IEEE Trans. Commun., vol. 71, no. 6, pp. 3694–3707, June 2023.
  7. 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, June 2022.
  8. J. Yang, Y. Zeng, S. Jin, and C. K. Wen, “Communication and localization with extremely large lens antenna array,” IEEE Trans. Wireless Commun., vol. 20, no. 5, pp. 3031–3048, May 2021.
  9. Y. Zhu, H. Guo, and V. K. N. Lau, “Bayesian channel estimation in multi-user massive MIMO with extremely large antenna array,” IEEE Trans. Signal Process., vol. 69, pp. 5463–5478, Sept. 2021.
  10. Y. Han, S. Jin, C. K. Wen, and X. Ma, “Channel estimation for extremely large-scale massive MIMO systems,” IEEE Wireless Commun. Lett., vol. 9, no. 5, pp. 633–637, May 2020.
  11. L. L. Magoarou, A. L. Calvez, and S. Paquelet, “Massive MIMO channel estimation taking into account spherical waves,” in Proc. IEEE Int. Workshop Signal Process. Adv. Wireless Commun. (SPAWC), Cannes, France, July 2019, pp. 1–5.
  12. G. W. Forbes, “Validity of the fresnel approximation in the diffraction of collimated beams,” J. Opt. Soc. Am. A, vol. 13, no. 9, pp. 1816–1826, Sept. 1996.
  13. Z. Zheng, M. Fu, W. Q. Wang, S. Zhang, and Y. Liao, “Localization of mixed near-field and far-field sources using symmetric double-nested arrays,” IEEE Trans. Antennas Propag., vol. 67, no. 11, pp. 7059–7070, Nov. 2019.
  14. 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., pp. 1–14, June 2023.
  15. Y. Cao, T. Lv, Z. Lin, P. Huang, and F. Lin, “Complex resnet aided DoA estimation for near-field MIMO systems,” IEEE Trans. Veh. Technol., vol. 69, no. 10, pp. 11 139–11 151, July 2020.
  16. J. Xiao, J. Wang, Z. Chen, and G. Huang, “U-MLP-based hybrid-field channel estimation for XL-RIS assisted millimeter-wave MIMO systems,” IEEE Wireless Commun. Lett., vol. 12, no. 6, pp. 1042–1046, Mar. 2023.
  17. 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, Jan. 2022.
  18. H. Yin, H. Wang, Y. Liu, and D. Gesbert, “Addressing the curse of mobility in massive MIMO with prony-based angular-delay domain channel predictions,” IEEE J. Sel. Areas Commun., vol. 38, no. 12, pp. 2903–2917, Dec. 2020.
  19. H. Jiang, M. Cui, D. W. K. Ng, and L. Dai, “Accurate channel prediction based on transformer: Making mobility negligible,” IEEE J. Sel. Areas Commun., vol. 40, no. 9, pp. 2717–2732, Sept. 2022.
  20. T. Zemen, L. Bernado, N. Czink, and A. F. Molisch, “Iterative time-variant channel estimation for 802.11p using generalized discrete prolate spheroidal sequences,” IEEE Trans. Veh. Technol., vol. 61, no. 3, pp. 1222–1233, Mar. 2012.
  21. D. Dardari and F. Guidi, “Direct position estimation from wavefront curvature with single antenna array,” in Proc. 8th Int. Conf. on Localization and GNSS (ICL-GNSS), Guimaraes, Portugal, Nov. 2018, pp. 1–5.
  22. W. Li, H. Yin, Z. Qin, Y. Cao, and M. Debbah, “A multi-dimensional matrix pencil-based channel prediction method for massive MIMO with mobility,” IEEE Trans. Wireless Commun., vol. 22, no. 4, pp. 2215–2230, Apr. 2023.
  23. H. Yin, L. Cottatellucci, D. Gesbert, R. R. Müller, and G. He, “Robust pilot decontamination based on joint angle and power domain discrimination,” IEEE Trans. Signal Process., vol. 64, no. 11, pp. 2990–3003, Feb. 2016.
  24. L. Sun and M. R. McKay, “Eigen-based transceivers for the MIMO broadcast channel with semi-orthogonal user selection,” IEEE Trans. Signal Process., vol. 58, no. 10, pp. 5246–5261, Oct. 2010.
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