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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/itnec4...
Article . 2020 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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A Reduced-Complexity User-Grouping Algorithm for Spatial-Division Multiple-Access Visible Light Communication Systems

Authors: Dongfang Zhang; Hong-Yi Yu; Yi-Jun Zhu;

A Reduced-Complexity User-Grouping Algorithm for Spatial-Division Multiple-Access Visible Light Communication Systems

Abstract

With the popularization of light-emitting diodes (LEDs) for indoor illumination, visible light communication (VLC) technology using LEDs as optical sources has gained an enormous amount of attention. In most indoor lighting places, lighting systems are composed of a set of LEDs rather than single LED, which is favorable for space-division multiple-access (SDMA) technology. For a SDMA VLC system, one of the major problems is high multi-user interference (MUI), especially in the case that different users have similar geometrical locations. In light of this, a reduced-complexity user-grouping algorithm with mutual spatial correlation as the user-grouping metric is developed. Within a timeslot, only the users with low correlation between each other are served simultaneously, while the users with high correlation are served in different timeslots. Further more, two kinds of optimal linear precoding designs are studied based on the results of user assignment. Groups of simulate results are taken to characterize the performance of both the user-grouping algorithm and the precoding design.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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