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Near-Field Channel Modeling for Holographic MIMO Communications (2403.09411v2)

Published 14 Mar 2024 in eess.SP, cs.IT, and math.IT

Abstract: Empowered by the latest progress on innovative metamaterials/metasurfaces and advanced antenna technologies, holographic multiple-input multiple-output (H-MIMO) emerges as a promising technology to fulfill the extreme goals of the sixth-generation (6G) wireless networks. The antenna arrays utilized in H-MIMO comprise massive (possibly to extreme extent) numbers of antenna elements, densely spaced less than half-a-wavelength and integrated into a compact space, realizing an almost continuous aperture. Thanks to the expected low cost, size, weight, and power consumption, such apertures are expected to be largely fabricated for near-field communications. In addition, the physical features of H-MIMO enable manipulations directly on the electromagnetic (EM) wave domain and spatial multiplexing. To fully leverage this potential, near-field H-MIMO channel modeling, especially from the EM perspective, is of paramount significance. In this article, we overview near-field H-MIMO channel models elaborating on the various modeling categories and respective features, as well as their challenges and evaluation criteria. We also present EM-domain channel models that address the inherit computational and measurement complexities. Finally, the article is concluded with a set of future research directions on the topic.

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References (15)
  1. T. Gong et al., “Holographic MIMO communications: Theoretical foundations, enabling technologies, and future directions,” IEEE Commun. Surveys Tuts., vol. 26, no. 1, pp. 196–257, 2024.
  2. H. Zhang et al., “Beam focusing for near-field multi-user MIMO communications,” IEEE Trans. Wireless Commun., vol. 21, no. 9, pp. 7476–7490, Sep. 2022.
  3. A. M. Elbir et al., “Twenty-five years of advances in beamforming: From convex and nonconvex optimization to learning techniques,” IEEE Signal Process. Mag., vol. 40, no. 4, pp. 118–131, 2023.
  4. H. Do et al., “Parabolic wavefront model for line-of-sight MIMO channels,” IEEE Trans. Wireless Commun., vol. 22, no. 11, pp. 7620–7634, 2023.
  5. D. Dardari, “Communicating with large intelligent surfaces: Fundamental limits and models,” IEEE J. Sel. Areas Commun., vol. 38, no. 11, pp. 2526–2537, Nov. 2020.
  6. T. Gong et al., “Holographic MIMO communications with arbitrary surface placements: Near-field LoS channel model and capacity limit,” IEEE J. Sel. Areas Commun., to appear, 2023. [Online]. Available: https://arxiv.org/abs/2304.05259
  7. ——, “A transmit-receive parameter separable electromagnetic channel model for LoS holographic MIMO,” in Proc. 2023 IEEE Glob. Commun. Conf. (GLOBECOM), Dec. 2023, pp. 5707–5712. [Online]. Available: https://arxiv.org/abs/2308.14356
  8. 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.
  9. Z. Dong and Y. Zeng, “Near-field spatial correlation for extremely large-scale array communications,” IEEE Commun. Lett., vol. 26, no. 7, pp. 1534–1538, Jul. 2022.
  10. C. Han et al., “Multi-ray channel modeling and wideband characterization for wireless communications in the terahertz band,” IEEE Trans. Wireless Commun., vol. 14, no. 5, pp. 2402–2412, 2015.
  11. 3GPP, “Study on channel model for frequencies from 0.5 to 100 GHz (release 16),” 3GPP TR 38.901 V16.1.0, 2020.
  12. A. Pizzo et al., “Fourier plane-wave series expansion for holographic MIMO communications,” IEEE Trans. Wireless Commun., vol. 21, no. 9, pp. 6890–6905, Sep. 2022.
  13. C. Gentile et al., “Millimeter-wave channel measurement and modeling: A NIST perspective,” IEEE Commun. Mag., vol. 56, no. 12, pp. 30–37, 2018.
  14. Y. Yang et al., “Generative-adversarial-network-based wireless channel modeling: Challenges and opportunities,” IEEE Commun. Mag., vol. 57, no. 3, pp. 22–27, 2019.
  15. X. Chen et al., “A review of mutual coupling in MIMO systems,” IEEE Access, vol. 6, pp. 24 706–24 719, 2018.
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