WACA WiFi 5-GHz dataset (Camp Nou only)

This folder contains <strong>ONLY</strong> the Camp Nou campaign included in the dataset presented in "<em>Sergio Barrachina-Muñoz, Boris Bellalta, and Edward Knightly. 2020. Wi-Fi All-Channel Analyzer. WinTech (2020)</em>". Please, refer to the GitHub repository for more details:<br> https://github.com/sergiobarra/WACA_WiFiAnalyzer -------------------------------------------------------------<br> <strong>*** Dataset structure ***</strong><br> The dataset is composed of 11 scenarios, each with a corresponding folder (campaign duration within brackets):<br> - 1_RVA: Rice Village Apartments, Houston; Apartment; 15th February 2019; 9600 iterations (~1 day)<br> - 2_RNG: Rice Networks Group, Houston; Campus office; 19th February 2019; 8750 iterations (~1 day)<br> - 3_TFA: Technology for All, Houston; Community center; 20th February 2019; 8609 iterations (~1 day)<br> - 4_FLO: Flo Paris (at Rice Village), Houston; Cafe; 23rd February 2019; 413 iterations (~1 hour)<br> - 5_VIL: Rice Village parking lot, Houston; Shopping mall; 23rd February 2019; 125 iterations (~20 min)<br> - 6_FEL: La Sagrera neighborhood, Barcelona; Apartment; 25th March 2019; 59500 iterations (~1 week)<br> - 7_WNO: Wireless Networking, Barcelona; Campus office; 3rd April 2019; 9600 iterations (~1 day)<br> - 8_22A: 22@ neighborhood, Barcelona; Office area; 2nd July 2019; 9600 iterations (~1 day)<br> - 9_GAL: Hotel Gallery, Barcelona; Downtown hotel; 10th July 2019; 9706 iterations (~1 day)<br> - 10_SAG: Sagrada Familia, Barcelona; Apartment; 11th February 2019; 38192 iterations (~4 days)<br> <em><strong>- 11_FCB: Camp Nou stadium, Barcelona; Futbol (soccer) Stadium; 4th August; 2001 iterations (~ 5 hours)</strong></em> <strong>*** File format ***</strong><br> - RSSI measurements are stored in .mat files inside each scenario folder.<br> - .mat files are named "it&lt;iteration number&gt;_&lt;mm-dd-yy&gt;_&lt;hh:mm:ss&gt;.mat". For instance file "it0251_02-19-19_08-03-09.mat" refers to iteration number 251, initiated on 19th February 2019 at 08:03:09.<br> - Every .mat file contains 24 arrays 10000x1, one per basic channel, where the ith element represents the RSSI value at sample i (of duration 10 microseconds) inside the iteration (of duration 1 second).<br> - 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.<br> - Finally, every scenario folder also contains the "experiment_general.mat". This file is auxiliary and contains different constants of interest related to the configuration of the campaigns. <strong>*** How do I process the dataset? ***</strong><br> We provide the RSSI measurements for every channel in every scenario. You may generate a Matlab snippet to process the data. Nevertheless, the Matlab code we used in the paper "Sergio Barrachina-Muñoz, Boris Bellalta, and Edward Knightly. 2020. Wi-Fi All-Channel Analyzer. WinTech (2020)" can be found in the GitHub repository.

本文件夹<strong>仅</strong>包含收录于论文《Sergio Barrachina-Muñoz, Boris Bellalta, and Edward Knightly. 2020. Wi-Fi全信道分析仪（Wi-Fi All-Channel Analyzer）. WinTech (2020)》的数据集内的坎帕诺球场（Camp Nou）采集任务数据集。更多详情请参阅GitHub仓库：https://github.com/sergiobarra/WACA_WiFiAnalyzer<br><strong>*** 数据集结构 ***</strong><br>本数据集共包含11个采集场景，每个场景对应一个独立文件夹（采集任务时长标注于括号内）：<br>- 1_RVA：休斯顿莱斯村公寓（Rice Village Apartments）；公寓场景；2019年2月15日；9600次采集（约1天）<br>- 2_RNG：休斯顿莱斯网络集团（Rice Networks Group）；校园办公场景；2019年2月19日；8750次采集（约1天）<br>- 3_TFA：休斯顿全民科技项目点（Technology for All）；社区中心场景；2019年2月20日；8609次采集（约1天）<br>- 4_FLO：休斯顿莱斯村内弗洛巴黎咖啡馆（Flo Paris (at Rice Village)）；咖啡馆场景；2019年2月23日；413次采集（约1小时）<br>- 5_VIL：休斯顿莱斯村停车场（Rice Village parking lot）；商场停车场场景；2019年2月23日；125次采集（约20分钟）<br>- 6_FEL：巴塞罗那拉萨格拉街区（La Sagrera neighborhood）；公寓场景；2019年3月25日；59500次采集（约1周）<br>- 7_WNO：巴塞罗那无线网络实验室（Wireless Networking）；校园办公场景；2019年4月3日；9600次采集（约1天）<br>- 8_22A：巴塞罗那22@街区（22@ neighborhood）；办公区场景；2019年7月2日；9600次采集（约1天）<br>- 9_GAL：巴塞罗那盖勒瑞酒店（Hotel Gallery）；市中心酒店场景；2019年7月10日；9706次采集（约1天）<br>- 10_SAG：巴塞罗那圣家族大教堂周边区域（Sagrada Familia）；公寓场景；2019年2月11日；38192次采集（约4天）<br><em><strong>- 11_FCB：巴塞罗那坎帕诺球场（Camp Nou stadium）；足球场场景；8月4日；2001次采集（约5小时）</strong></em><br><strong>*** 文件格式 ***</strong><br>- 接收信号强度指示（Received Signal Strength Indicator, RSSI）测量值存储于各场景文件夹内的.mat文件中。<br>- .mat文件的命名格式为`it<采集次数>_<mm-dd-yy>_<hh:mm:ss>.mat`。例如，文件`it0251_02-19-19_08-03-09.mat`对应第251次采集，采集启动时间为2019年2月19日08:03:09。<br>- 每个.mat文件包含24个10000×1的数组，每个数组对应一个基础信道；数组第i个元素代表本次采集（总时长1秒）内第i个采样点（采样时长10微秒）的RSSI值。<br>- 此处RSSI值以MAX2829收发器的输出单位（10比特数值）给出。如需了解如何将10比特数值转换为dBm单位，请参阅该收发器的数据手册或本项目的GitHub仓库。<br>- 此外，每个场景文件夹中还包含`experiment_general.mat`文件，该辅助文件存储了与本次采集配置相关的各类常用常量。<br><strong>*** 如何处理本数据集？ ***</strong><br>我们已提供所有场景下各信道的RSSI测量值，您可自行编写MATLAB代码脚本处理数据。此外，论文《Sergio Barrachina-Muñoz, Boris Bellalta, and Edward Knightly. 2020. Wi-Fi全信道分析仪（Wi-Fi All-Channel Analyzer）. WinTech (2020)》中使用的MATLAB代码可在本项目的GitHub仓库中获取。