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Cited by 513

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

A Simple Design of IRS-NOMA Transmission

Open access
Ding, Zhiguo, Vincent Poor, H.·2020·IEEE Communications Letters

Abstract

This letter proposes a simple design of intelligent reflecting surface (IRS) assisted non-orthogonal multiple access (NOMA) downlink transmission. In particular, conventional spatial division multiple access (SDMA) is used first at the base station to generate orthogonal beams by using the spatial directions of the near users' channels. Then, IRS-assisted NOMA is used to ensure that additional cell-edge users can also be served on these beams by aligning the cell-edge users' effective channel vectors with the predetermined spatial directions. Both analytical and simulation results are provided to demonstrate the performance of the proposed IRS-NOMA scheme and also study the impact of hardware impairments on IRS-NOMA.

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Metadata

Authors
Ding, Z., & Vincent Poor, H.
Venue
IEEE Communications Letters
Published
2020-05
Volume
24
Issue
5
Pages
1119-1123
ISSN
  • 1089-7798 (ISSN-L)
  • 1558-2558
  • 2373-7891
OpenAlex
W3006962285
Cited by
513
References
15
FWCI
31.14
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: A Simple Design of IRS-NOMA Transmission. https://app.cochat.ai/papers/10.1109/lcomm.2020.2974196
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Ding, Z., & Vincent Poor, H. (2020). A Simple Design of IRS-NOMA Transmission. IEEE Communications Letters. https://doi.org/10.1109/lcomm.2020.2974196

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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.