Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 55Wireless Networks and ProtocolsAdvanced Wireless Network OptimizationNetwork Traffic and Congestion Control

The DOI matches its Crossref record; 12 of the 13 references it cites were found in a registry or an index.

Will OFDMA Improve the Performance of 802.11 Wifi Networks?

Abstract

WiFi 6 based on the IEEE 802.11ax amendment is intended to improve spectral efficiency and area throughput operations in high density environments. This is achieved (among other methods) by the introduction of Orthogonal Frequency Division Multiple Access (OFDMA) and enhanced multi-user Multiple Input Multiple Output (MU-MIMO) features. In this work, we explore the performance of downlink and uplink OFDMA in 802.11ax via extensive simulation based evaluation (latency, throughput, range) compared to conventional single user (SU) transmissions. Based on our results, we conclude that OFDMA can reduce the median latency from ~5 ms to less than 1 ms in non-saturation conditions. When used in conjunction with efficient multi-user buffer status report and restricted EDCA mechanisms, OFDMA can increase the saturation throughput by more than 10 percent. Moreover, UL OFDMA also improves aggregate throughput at longer ranges due to the narrower sub-channels (equivalently increased transmit power spectral density); four stations achieve an aggregate throughput 35 percent higher than a station transmitting SU frames and located at a range 1.5 times closer to the access point.

Overview

Integrity signals

Registry

Crossref · 10.1109/mwc.001.2000332

Cites

12 of 12 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 13 references

Research works printed but not linked: 1

  1. fellah, 2020, WBA Annual Industry Report, Wireless Broadband Alliance

Cited by

Metadata

Authors
Avallone, S., Imputato, P., Redieteab, G., Ghosh, C., & Roy, S.
Affiliations
  • Orange (France) (FR)
  • Meta (United States) (US)
  • University of Washington (US)
Venue
IEEE Wireless Communications
Published
2021-06
Volume
28
Issue
3
Pages
100-107
ISSN
  • 1536-1284 (ISSN-L)
  • 1558-0687
OpenAlex
W3167543677
Cited by
48
References
13
Citations by year
2026: 9 · 2025: 13 · 2024: 6 · 2023: 13 · 2022: 6 · 2021: 1
FWCI
2.92
Type
journal article
Language
en
Open access
closed
Locations
IEEE Wireless Communications (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Wireless Networks and Protocols
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Network Optimization
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Traffic and Congestion Control
Keywords
OFDMA, IEEE 802.11ax, Wi-Fi 6, MU-MIMO, OFDMA uplink, latency, throughput, high-density wireless networks

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

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.