The DOI matches its Crossref record.
Design and Implementation of Color-Shift Keying for Visible Light Communications
Open accessAbstract
Color-shift keying (CSK) is a visible light communication intensity modulation scheme, outlined in IEEE 802.15.7, that transmits data imperceptibly through the variation of the color emitted by red, green, and blue light emitting diodes. An advantage of CSK is that the power envelope of the transmitted signal is fixed; therefore, CSK reduces the potential for human health complications related to fluctuations in light intensity. In this work, a rigorous design framework for high order CSK constellations is presented. A key benefit of the frame work is that it optimizes constellations while accounting for crosstalk between the color communication channels. In addition, and unlike previous approaches, the method is capable of optimizing 3-D constellations. Furthermore, a prototype CSK communication system is presented to validate the performance of the optimized constellations, which provide gains of 1-3 dB over standard 805.15.7 constellations.
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
Indoor Positioning Systems Based on Visible Light Communication: State of the Art
Luo, J., Fan, L., & Li, H. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2743228 · Cited by 435
Transmitter and receiver technologies for optical wireless
O'Brien, D., Rajbhandari, S., & Chun, H. (2020) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2019.0182 · Cited by 53
Metadata
- Authors
- Monteiro, E., & Hranilovic, S.
- Venue
- Journal of Lightwave Technology
- Published
- 2014-05
- Volume
- 32
- Issue
- 10
- Pages
- 2053-2060
- ISSN
- 0733-8724 (ISSN-L)
- 1558-2213
- OpenAlex
- W2124835908
- Cited by
- 204
- References
- 0
- FWCI
- 11.85
- 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: Design and Implementation of Color-Shift Keying for Visible Light Communications. https://app.cochat.ai/papers/10.1109/jlt.2014.2314358
- The paper
- Monteiro, E., & Hranilovic, S. (2014). Design and Implementation of Color-Shift Keying for Visible Light Communications. Journal of Lightwave Technology. https://doi.org/10.1109/jlt.2014.2314358
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.