Gong, T., Wei, L., Huang, C., Alexandropoulos, G. C., Debbah, M., & Yuen, C. (2024). Near-Field Channel Modeling for Holographic Mimo Communications. IEEE Wireless Communications, 31(3), 108–116. https://doi.org/10.1109/mwc.005.2300457
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 ultimate goals of
the sixth-generation (6G) wireless networks. The
antenna arrays utilized in H-MIMO comprise massive
(possibly to an extreme extent) numbers of
antenna elements, densely spaced less than half-awavelength
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 manipulation 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 importance. 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.
License type:
Publisher Copyright
Funding Info:
This research / project is supported by the Ministry of Education, Singapore - Academic Research Fund Tier 2
Grant Reference no. : MOE-T2EP50220-0019
This research / project is supported by the Science and Engineering Research Council of A*STAR (Agency for Science, Technology and Research) Singapore - Manufacturing, Trade, and Connectivity Programmatic Fund
Grant Reference no. : M22L1b0110
This research / project is supported by the China National Key R&D Program - NA
Grant Reference no. : 2021YFA1000500, 2023YFB2904800
This research / project is supported by the National Natural Science Foundation of China - NA
Grant Reference no. : 62331023, 62101492, 62394292, U20A20158
This research / project is supported by the Zhejiang Provincial Natural Science Foundation of China - NA
Grant Reference no. : LR22F010002
This research / project is supported by the Zhejiang Provincial Science and Technology Plan Project - NA
Grant Reference no. : 2024C01033
This research / project is supported by the Zhejiang University Global Partnership Fund - NA
Grant Reference no. : NA
This research / project is supported by the European Union’s Horizon Europe research and innovation programme - Smart Networks and Services Joint Undertaking (SNS JU) project TERRAMETA
Grant Reference no. : 101097101
This research / project is supported by the UK Research and Innovation (UKRI) - UK government’s Horizon Europe funding guarantee
Grant Reference no. : NA