Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 737

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Precoding and Power Optimization in Cell-Free Massive MIMO Systems

Nayebi, Elina, Ashikhmin, Alexei, Marzetta, Thomas L., Yang, Hong, Rao, Bhaskar D.·2017·IEEE Transactions on Wireless Communications

Abstract

Cell-free Massive multiple-input multiple-output (MIMO) comprises a large number of distributed low-cost low-power single antenna access points (APs) connected to a network controller. The number of AP antennas is significantly larger than the number of users. The system is not partitioned into cells and each user is served by all APs simultaneously. The simplest linear precoding schemes are conjugate beamforming and zero-forcing. Max-min power control provides equal throughput to all users and is considered in this paper. Surprisingly, under max-min power control, most APs are found to transmit at less than full power. The zero-forcing precoder significantly outperforms conjugate beamforming. For zero-forcing, a near-optimal power control algorithm is developed that is considerably simpler than exact max-min power control. An alternative to cell-free systems is small-cell operation in which each user is served by only one AP for which power optimization algorithms are also developed. Cell-free Massive MIMO is shown to provide five- to ten-fold improvement in 95%-likely per-user throughput over small-cell operation.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/twc.2017.2698449

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cites

Show all 2 references

Cited by

See all 737

Metadata

Authors
Nayebi, E., Ashikhmin, A., Marzetta, T. L., Yang, H., & Rao, B. D.
Venue
IEEE Transactions on Wireless Communications
Published
2017-07
Volume
16
Issue
7
Pages
4445-4459
ISSN
1536-1276 (ISSN-L)
OpenAlex
W2610350904
Cited by
737
References
2
FWCI
23.49
Type
journal article
Language
en
Open access
closed

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: Precoding and Power Optimization in Cell-Free Massive MIMO Systems. https://app.cochat.ai/papers/10.1109/twc.2017.2698449
The paper
Nayebi, E., Ashikhmin, A., Marzetta, T. L., Yang, H., & Rao, B. D. (2017). Precoding and Power Optimization in Cell-Free Massive MIMO Systems. IEEE Transactions on Wireless Communications. https://doi.org/10.1109/twc.2017.2698449

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.