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Cited by 309

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Communicating With Large Intelligent Surfaces: Fundamental Limits and Models

Open access
Dardari, Davide·2020·IEEE Journal on Selected Areas in Communications

Abstract

This paper analyzes the optimal communication involving large intelligent surfaces (LIS) starting from electromagnetic arguments. Since the numerical solution of the corresponding eigenfunction problems is in general computationally prohibitive, simple but accurate analytical expressions for the link gain and available spatial degrees-of-freedom (DoF) are derived. It is shown that the achievable DoF and gain offered by the wireless link are determined only by geometric factors, and that the classical Friis' formula is no longer valid in this scenario where the transmitter and receiver could operate in the near-field regime. Furthermore, results indicate that, contrarily to classical MIMO systems, when using LIS-based antennas DoF larger than 1 can be exploited even in strong line-of-sight (LOS) channel conditions, which corresponds to a significant increase in spatial capacity density, especially when working at millimeter waves.

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Metadata

Authors
Dardari, D.
Venue
IEEE Journal on Selected Areas in Communications
Published
2020-11
Volume
38
Issue
11
Pages
2526-2537
ISSN
  • 0733-8716 (ISSN-L)
  • 1558-0008
OpenAlex
W2992217698
Cited by
309
References
44
FWCI
12.91
Type
journal article
Language
en
Open access
green

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Dardari, D. (2020). Communicating With Large Intelligent Surfaces: Fundamental Limits and Models. IEEE Journal on Selected Areas in Communications. https://doi.org/10.1109/jsac.2020.3007036

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.