The DOI matches its Crossref record.
Intelligent Reflecting Surface-Assisted Multiple Access With User Pairing: NOMA or OMA?
Open accessAbstract
The integration of intelligent reflecting surface (IRS) to multiple access networks is a cost-effective solution for boosting spectrum/energy efficiency and enlarging network coverage/connections. However, due to the new capability of IRS in reconfiguring the wireless propagation channels, it is fundamentally unknown which multiple access scheme is superior in the IRS-assisted wireless network. In this letter, we pursue a theoretical performance comparison between non-orthogonal multiple access (NOMA) and orthogonal multiple access (OMA) in the IRS-assisted downlink communication, for which the transmit power minimization problems are formulated under the discrete unit-modulus reflection constraint on each IRS element. We analyze the minimum transmit powers required by different multiple access schemes and compare them numerically, which turn out to not fully comply with the stereotyped superiority of NOMA over OMA in conventional systems without IRS. Moreover, to avoid the exponential complexity of the brute-force search for the optimal discrete IRS phase shifts, we propose a low-complexity solution to achieve near-optimal performance.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey
Gong, S., Lu, X., Hoang, D. T., Niyato, D., Shu, L., Kim, D. I., & Liang, Y.-C. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3004197 · Cited by 1,035
Simultaneously Transmitting and Reflecting (STAR) RIS Aided Wireless Communications
Mu, X., Liu, Y., Guo, L., Lin, J., & Schober, R. (2022) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3118225 · Cited by 896
Zheng, B., You, C., Mei, W., & Zhang, R. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3155305 · Cited by 579
Self-citationShen, S., Clerckx, B., & Murch, R. (2022) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3103256 · Cited by 268
Di Renzo, M., Zappone, A., Debbah, M., Alouini, M.-S., Yuen, C., de Rosny, J., & Tretyakov, S. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3007211 · Cited by 112
Metadata
- Authors
- Zheng, B., Wu, Q., & Zhang, R.
- Venue
- IEEE Communications Letters
- Published
- 2020-04
- Volume
- 24
- Issue
- 4
- Pages
- 753-757
- ISSN
- 1089-7798 (ISSN-L)
- 1558-2558
- 2373-7891
- OpenAlex
- W3002384078
- Cited by
- 397
- References
- 0
- FWCI
- 24.56
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Intelligent Reflecting Surface-Assisted Multiple Access With User Pairing: NOMA or OMA? https://app.cochat.ai/papers/10.1109/lcomm.2020.2969870
- The paper
- Zheng, B., Wu, Q., & Zhang, R. (2020). Intelligent Reflecting Surface-Assisted Multiple Access With User Pairing: NOMA or OMA? IEEE Communications Letters. https://doi.org/10.1109/lcomm.2020.2969870
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.