Dataset Open Access

WACA WiFi 5-GHz dataset

Sergio Barrachina-Muñoz; Boris Bellalta; Edward Knightly

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  <identifier identifierType="DOI">10.5281/zenodo.3952557</identifier>
      <creatorName>Sergio Barrachina-Muñoz</creatorName>
      <affiliation>Universitat Pompeu Fabra</affiliation>
      <creatorName>Boris Bellalta</creatorName>
      <affiliation>Universitat Pompeu Fabra</affiliation>
      <creatorName>Edward Knightly</creatorName>
      <affiliation>Rice University</affiliation>
    <title>WACA WiFi 5-GHz dataset</title>
    <subject>5-GHz band</subject>
    <date dateType="Issued">2020-07-20</date>
  <resourceType resourceTypeGeneral="Dataset"/>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3952556</relatedIdentifier>
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    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;This folder contains the dataset presented in &amp;quot;&lt;em&gt;Sergio Barrachina-Mu&amp;ntilde;oz, Boris Bellalta, and Edward Knightly. 2020. Wi-Fi All-Channel Analyzer. WinTech (2020)&lt;/em&gt;&amp;quot;.&lt;/p&gt;

&lt;p&gt;Please, refer to the GitHub repository for more details:&lt;br&gt;
&lt;a href=""&gt;;/a&gt;&lt;/p&gt;

&lt;strong&gt;*** Dataset structure ***&lt;/strong&gt;&lt;br&gt;
The dataset is composed of 11 scenarios, each with a corresponding folder (campaign duration within brackets):&lt;/p&gt;

	&lt;li&gt;1_RVA: Rice Village Apartments, Houston; Apartment; 15th February 2019; 9600 iterations (~1 day)&lt;/li&gt;
	&lt;li&gt;2_RNG: Rice Networks Group, Houston; Campus office; 19th February 2019; 8750 iterations (~1 day)&lt;/li&gt;
	&lt;li&gt;3_TFA: Technology for All, Houston; Community center; 20th February 2019; 8609 iterations (~1 day)&lt;/li&gt;
	&lt;li&gt;4_FLO: Flo Paris (at Rice Village), Houston; Cafe; 23rd February 2019; 413 iterations (~1 hour)&lt;/li&gt;
	&lt;li&gt;5_VIL: Rice Village parking lot, Houston; Shopping mall; 23rd February 2019; 125 iterations (~20 min)&lt;/li&gt;
	&lt;li&gt;6_FEL: La Sagrera neighborhood, Barcelona; Apartment; 25th March 2019; 59500 iterations (~1 week)&lt;/li&gt;
	&lt;li&gt;7_WNO: Wireless Networking, Barcelona; Campus office; 3rd April 2019; 9600 iterations (~1 day)&lt;/li&gt;
	&lt;li&gt;8_22A: 22@ neighborhood, Barcelona; Office area; 2nd July 2019; 9600 iterations (~1 day)&lt;/li&gt;
	&lt;li&gt;9_GAL: Hotel Gallery, Barcelona; Downtown hotel; 10th July 2019; 9706 iterations (~1 day)&lt;/li&gt;
	&lt;li&gt;10_SAG: Sagrada Familia, Barcelona; Apartment; 11th February 2019; 38192 iterations (~4 days)&lt;/li&gt;
	&lt;li&gt;11_FCB: Camp Nou stadium, Barcelona; Futbol (soccer) Stadium; 4th August; 2001 iterations (~ 5 hours)&lt;/li&gt;

&lt;p&gt;&lt;strong&gt;*** File format ***&lt;/strong&gt;&lt;/p&gt;

	&lt;li&gt;RSSI measurements are stored in .mat files inside each scenario folder.&lt;/li&gt;
	&lt;li&gt;.mat files are named &amp;quot;it&amp;lt;iteration number&amp;gt;_&amp;lt;mm-dd-yy&amp;gt;_&amp;lt;hh:mm:ss&amp;gt;.mat&amp;quot;. For instance file &amp;quot;it0251_02-19-19_08-03-09.mat&amp;quot; refers to iteration number 251, initiated on 19th February 2019 at 08:03:09.&lt;/li&gt;
	&lt;li&gt;Every .mat file contains 24 arrays 10000x1, one per basic channel, where the &lt;em&gt;i&lt;/em&gt;th element represents the RSSI value at sample &lt;em&gt;i &lt;/em&gt;(of duration 10 microseconds) inside the iteration (of duration 1 second).&lt;/li&gt;
	&lt;li&gt;The RSSI value is given in the units of the MAX2829 transceiver (10-bit values). Please, refer to the transceiver datasheet or to our GitHub repository to see how to convert from 10-bit values to dBm.&lt;/li&gt;
	&lt;li&gt;Finally, every scenario folder also contains the &amp;quot;experiment_general.mat&amp;quot;. This file is auxiliary and contains different constants of interest related to the configuration of the campaigns.&lt;/li&gt;

&lt;p&gt;&lt;strong&gt;*** How do I process the dataset? ***&lt;/strong&gt;&lt;br&gt;
We provide the RSSI measurements for every channel in every scenario. You may generate a Matlab snippet to process the data.&lt;br&gt;
Nevertheless, the Matlab code we used in the paper &amp;quot;&lt;em&gt;Sergio Barrachina-Mu&amp;ntilde;oz, Boris Bellalta, and Edward Knightly. 2020. Wi-Fi All-Channel Analyzer. WinTech (2020)&lt;/em&gt;&amp;quot; can be found in the GitHub repository.&lt;/p&gt;</description>
    <description descriptionType="Other">{"references": ["Sergio Barrachina-Mu\u00f1oz, Boris Bellalta, and Edward Knightly. 2020. Wi-Fi All-Channel Analyzer. WinTech (2020) (in press)"]}</description>
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