This README.txt file was generated on 2025-11-18 by Pau Salvador

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GENERAL INFORMATION
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Title of Dataset: Dynamic Nonlinear Model of High Luminous Flux Phosphor-Coated White LEDs for VLC [Dataset]


Author Information 
	Principal Investigator: Pau Salvador - Instituto de Telecomunicaciones y Aplicaciones Multimedia, ITEAM, Universitat Politècnica de València, 46022, Valencia, Spain - pasallla@upv.es - ORCID: 0000-0002-2197-4942
	Co-investigator: Juan Luis Corral - Instituto Universitario de Tecnología Nanofotónica, Universitat Politècnica de València, 46022 Valencia, Spain - jlcorral@upv.es - ORCID: 0000-0003-0857-5207
	Co-investigator: Javier Valls - Instituto de Telecomunicaciones y Aplicaciones Multimedia, ITEAM, Universitat Politècnica de València, 46022, Valencia, Spain - jvalls@eln.upv.es - ORCID: 0000-0002-9390-5022
	Co-investigator: Vicenç Almenar - Instituto de Telecomunicaciones y Aplicaciones Multimedia, ITEAM, Universitat Politècnica de València, 46022, Valencia, Spain - valmenar@dcom.upv.es - ORCID: 0000-0002-8742-2315
	Co-investigator: Maria Jose Canet - Instituto de Telecomunicaciones y Aplicaciones Multimedia, ITEAM, Universitat Politècnica de València, 46022, Valencia, Spain - macasu@eln.upv.es - ORCID: 0000-0002-6765-9219
	Co-investigator: Jean-Paul Linnartz - Signal Processing System Group, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands - j.p.linnartz@tue.nl - ORCID: 0000-0002-6098-4043
	

Date of data collection: 2023-05-10

Geographic location of data collection: Gandia, Valencia, Spain (38.995824, -0.165979)

Information about funding sources or sponsorship that supported the collection of the data: 
- OPTIMISE under Grant PID2021-126514OBI00 and Grant MCIN/AEI/ 10.13039/501100011033
- ERDF “A way of making Europe”
- Ministerio de Ciencia, Innovación y Universidades para la Formación de Profesorado Universitario, grant number FPU19/04648

General description: 
Phosphor-coated white LEDs have become the predominant lighting technology thanks to their energy efficiency. 
In recent years, interest in visible light communications (VLC) technology has grown to take advantage of the massive deployment of these lighting LEDs for data transmission. In this context, these LEDs have two major limitations: limited modulation bandwidth and nonlinear behavior. 
Extending signal modulation beyond these limitations is crucial for achieving the  transmission rates necessary to make this technology competitive. To support the further development of these systems, this paper introduces an integrated model that merges dynamic nonlinear and linear system approaches to simulate accurately data transmission with LEDs. 
It combines a dynamic nonlinear model, which captures complex behaviors under high-speed modulation, with a linear model for high luminous flux LEDs. Experimental validation confirms the precision of the model, with less than 5\% error in predicting power spectrum and throughput using OFDM signaling, highlighting its utility for designing VLC systems that utilize LEDs for both illumination and data transmission.

Keywords: Nonlinear model, VLC, white LEDs



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SHARING/ACCESS INFORMATION
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Open Access to data: Open

Date end Embargo: 

Licenses/restrictions placed on the data, or limitations of reuse: CC-BY

Citation for and links to publications that cite or use the data: 10.1109/JLT.2025.3538750

Links/relationships to previous or related data sets: 

Links to other publicly accessible locations of the data: 



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DATA & FILE OVERVIEW
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File list:
 - Figure2/: Folder containing the data and the scripts to generate Figure 2 of the associated publication.
     - dibujarRespuestaTemporal.m: Matlab script to plot Figure 2.
	 - simulaciones/: Folder containing the measurement and simulation data.
 - Figure7_8_9/: Folder containing the data and the scripts to generate Figures 7, 8 and 9 of the associated publication.
	 - dibujarResultados.m: Matlab script to plot Figures 7, 8 and 9.
	 - simulaciones/: Folder containing the measurement and simulation data.
Relationship between files: 

Type of version of the dataset: Processed and raw data

Total size: 212MB



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METHODOLOGICAL INFORMATION
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Description of methods used for collection/generation of data:

Methods for processing the data: Manual data collection and recording of constellation diagrams, spectra, amplitude response, EVM per subcarrier.

Software- or Instrument-specific information needed to interpret the data, including software and hardware version numbers: Matlab

Standards and calibration information, if appropriate:

Environmental/experimental conditions: Laboratory

Describe any quality-assurance procedures performed on the data:



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DATA-SPECIFIC INFORMATION
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File: Figure2/dibujarRespuestaTemporal.m

Number of variables: 2

Number of cases/rows: 2

Variable list, defining any abbreviations, units of measure, codes or symbols used:
 - guardarPDF: Flag to save the figure as PDF (1 = yes, 0 = no)
 - vals_zoom: Zoom values for the temporal response plot (in samples)
   
Missing data codes:

Specialized formats or other abbreviations used:


File: Figure7_8_9/dibujarResultados.m

Number of variables: 1

Number of cases/rows: 60

Variable list, defining any abbreviations, units of measure, codes or symbols used:

 - generaguardarPDFr_pdf: Flag to save the figure as PDF (1 = yes, 0 = no).


Missing data codes:

Specialized formats or other abbreviations used: