Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 323

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Laser Intersatellite Links in a Starlink Constellation: A Classification and Analysis

Chaudhry, Aizaz U., Yanikomeroglu, Halim·2021·IEEE Vehicular Technology Magazine

Abstract

Laser intersatellite links (LISLs) are envisioned between satellites in upcoming satellite constellations, such as the one in phase I of SpaceX's Starlink. Within a constellation, satellites can establish LISLs with other satellites in the same orbital plane (OP) or in different OPs. We present a classification of LISLs based on the location of satellites within a constellation and of LISLs' duration. Then, using the satellite constellation for phase I of Starlink, we study the effect that varying a satellite's LISL range has on the number of different types of LISLs it can establish with other satellites. In addition to permanent LISLs, we observe a significant number of temporary LISLs between satellites in crossing OPs. Such LISLs can play a vital role in achieving low-latency paths within next-generation optical wireless satellite networks.

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/mvt.2021.3063706

Cites

7 of 7 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 7 references

Cited by

See all 323

Metadata

Authors
Chaudhry, A. U., & Yanikomeroglu, H.
Venue
IEEE Vehicular Technology Magazine
Published
2021-06
Volume
16
Issue
2
Pages
48-56
ISSN
  • 1556-6072 (ISSN-L)
  • 1556-6080
OpenAlex
W3147278562
Cited by
323
References
7
FWCI
20.04
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: Laser Intersatellite Links in a Starlink Constellation: A Classification and Analysis. https://app.cochat.ai/papers/10.1109/mvt.2021.3063706
The paper
Chaudhry, A. U., & Yanikomeroglu, H. (2021). Laser Intersatellite Links in a Starlink Constellation: A Classification and Analysis. IEEE Vehicular Technology Magazine. https://doi.org/10.1109/mvt.2021.3063706

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.