{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T13:58:46Z","timestamp":1784210326380,"version":"3.55.0"},"reference-count":135,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T00:00:00Z","timestamp":1694736000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Comput. Surv."],"published-print":{"date-parts":[[2024,2,29]]},"abstract":"<jats:p>New generations of cellular networks are data oriented, targeting the integration of machine learning and artificial intelligence solutions. Data availability, required to train and compare machine learning based networking solutions, is therefore becoming an important topic and a significant concern. Operators do collect data, but they rarely share it because of privacy concerns. This article starts by reviewing the few publicly available cellular datasets, which created bursts of innovation with their release. The scarcity of such data is so acute that researchers are collecting network data using their own tools, developed in-house and covered in the second part of this survey.<\/jats:p>","DOI":"10.1145\/3610402","type":"journal-article","created":{"date-parts":[[2023,7,20]],"date-time":"2023-07-20T12:05:09Z","timestamp":1689854709000},"page":"1-25","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["Where Are the (Cellular) Data?"],"prefix":"10.1145","volume":"56","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8128-4812","authenticated-orcid":false,"given":"Maryam","family":"Amini","sequence":"first","affiliation":[{"name":"University of Waterloo, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4479-3976","authenticated-orcid":false,"given":"Razvan","family":"Stanica","sequence":"additional","affiliation":[{"name":"University of Lyon, INSA Lyon, Inria, CITI, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1915-243X","authenticated-orcid":false,"given":"Catherine","family":"Rosenberg","sequence":"additional","affiliation":[{"name":"University of Waterloo, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,9,15]]},"reference":[{"key":"e_1_3_2_2_2","volume-title":"tPacketCapture","year":"2015","unstructured":"Google. 2015. tPacketCapture. Retrieved August 5, 2022 from https:\/\/play.google.com\/store\/apps\/details?id=jp.co.taosoftware.android.packetcapture"},{"key":"e_1_3_2_3_2","volume-title":"Grant Park","year":"2021","unstructured":"University of Chicago. 2021. Grant Park. Retrieved August 5, 2022 from https:\/\/people.cs.uchicago.edu\/muhiqbalcr\/grant-park-may-jun-2021\/CSV-GP.zip"},{"key":"e_1_3_2_4_2","volume-title":"NetMonitor Pro","year":"2021","unstructured":"Google. 2021. NetMonitor Pro. Retrieved August 5, 2022 from https:\/\/play.google.com\/store\/apps\/details?id=ru.v_a_v.netmonitorpro&hl=en_CA&gl=US&showAllReviews=true"},{"key":"e_1_3_2_5_2","volume-title":"Open5GCore Home Page","year":"2021","unstructured":"Open5GCore. 2021. Open5GCore Home Page. Retrieved August 5, 2022 from https:\/\/www.open5gcore.org"},{"key":"e_1_3_2_6_2","volume-title":"About FED4FIRE+","year":"2022","unstructured":"FED4FIRE. 2022. About FED4FIRE+. Retrieved December 13, 2022 from https:\/\/www.fed4fire.eu\/"},{"key":"e_1_3_2_7_2","volume-title":"AERPAW Home Page","year":"2022","unstructured":"AERPAW. 2022. AERPAW Home Page. Retrieved December 5, 2022 from https:\/\/aerpaw.org\/"},{"key":"e_1_3_2_8_2","volume-title":"AKOS Test Net\u2014Open Data","year":"2022","unstructured":"AKOS Test Net. 2022. AKOS Test Net\u2014Open Data. Retrieved December 1, 2022 from https:\/\/www.akostest.net\/en\/opendata"},{"key":"e_1_3_2_9_2","volume-title":"ARA Home Page","year":"2022","unstructured":"ARA. 2022. ARA Home Page. Retrieved December 5, 2022 from https:\/\/arawireless.org\/"},{"key":"e_1_3_2_10_2","volume-title":"Canadian Radio-Television and Telecommunications Commission","year":"2022","unstructured":"Government of Canada. 2022. Canadian Radio-Television and Telecommunications Commission. Retrieved August 4, 2022 from https:\/\/crtc.gc.ca\/eng\/home-accueil.htm"},{"key":"e_1_3_2_11_2","volume-title":"Cognitive Radio Network Testbed","year":"2022","unstructured":"Virginia Tech. 2022. Cognitive Radio Network Testbed. Retrieved December 13, 2022 from https:\/\/cornet.wireless.vt.edu\/index.html"},{"key":"e_1_3_2_12_2","volume-title":"COSMOS","year":"2022","unstructured":"COSMOS. 2022. COSMOS Home Page. Retrieved December 5, 2022 from https:\/\/cosmos-lab.org\/"},{"key":"e_1_3_2_13_2","volume-title":"Federal Communications Commission Home Page","year":"2022","unstructured":"Federal Communications Commission. 2022. Federal Communications Commission Home Page. Retrieved August 4, 2022 from https:\/\/www.fcc.gov"},{"key":"e_1_3_2_14_2","volume-title":"Free5GC Home Page","year":"2022","unstructured":"Free5GC. 2022. Free5GC Home Page. Retrieved August 5, 2022 from https:\/\/www.free5gc.org"},{"key":"e_1_3_2_15_2","volume-title":"Future Internet Testing Facility","year":"2022","unstructured":"FIT. 2022. Future Internet Testing Facility. Retrieved December 13, 2022 from https:\/\/fit-equipex.fr"},{"key":"e_1_3_2_16_2","volume-title":"G-NetTrack","year":"2022","unstructured":"Gyokov Solutions. 2022. G-NetTrack. Retrieved August 4, 2022 from https:\/\/gyokovsolutions.com\/g-nettrack\/"},{"key":"e_1_3_2_17_2","volume-title":"Innovation, Science and Economic Development Canada","year":"2022","unstructured":"Government of Canada. 2022. Innovation, Science and Economic Development Canada. Retrieved August 4, 2022 from https:\/\/open.canada.ca\/en\/open-data"},{"key":"e_1_3_2_18_2","volume-title":"MobileInsight Home Page","year":"2022","unstructured":"MobileInsight. 2022. MobileInsight Home Page. Retrieved August 4, 2022 from http:\/\/mobileinsight.net\/"},{"key":"e_1_3_2_19_2","volume-title":"MONROE: Measuring Mobile Broadband Networks in Europe","year":"2022","unstructured":"MONROE Project. 2022. MONROE: Measuring Mobile Broadband Networks in Europe. Retrieved December 19, 2022 from https:\/\/www.monroe-project.eu"},{"key":"e_1_3_2_20_2","volume-title":"NetMetr\u2014Open Data","year":"2022","unstructured":"CZ NIC. 2022. NetMetr\u2014Open Data. Retrieved December 1, 2022 from https:\/\/www.netmetr.cz\/en\/open-data.html"},{"key":"e_1_3_2_21_2","unstructured":"OneLab. 2022. OneLab Home Page. Retrieved December 18 2022 from https:\/\/onelab.eu"},{"key":"e_1_3_2_22_2","volume-title":"Open5GS Home Page","year":"2022","unstructured":"Open5GS. 2022. Open5GS Home Page. Retrieved August 5, 2022 from https:\/\/open5gs.org"},{"key":"e_1_3_2_23_2","volume-title":"Platforms for Advanced Wireless Research","year":"2022","unstructured":"PAWR. 2022. Platforms for Advanced Wireless Research. Retrieved December 4, 2022 from https:\/\/advancedwireless.org\/"},{"key":"e_1_3_2_24_2","volume-title":"Powder Home Page","year":"2022","unstructured":"Powder. 2022. Powder Home Page. Retrieved December 4, 2022 from https:\/\/powderwireless.net\/"},{"key":"e_1_3_2_25_2","volume-title":"Puffer","year":"2022","unstructured":"Stanford University. 2022. Puffer. Retrieved August 5, 2022 from https:\/\/puffer.stanford.edu"},{"key":"e_1_3_2_26_2","volume-title":"RootMetrics Home Page","year":"2022","unstructured":"RootMetrics. 2022. RootMetrics Home Page. Retrieved January 11, 2023 from https:\/\/www.rootmetrics.com\/en-US\/home"},{"key":"e_1_3_2_27_2","volume-title":"RTR-NetTest Home Page","year":"2022","unstructured":"RTR-NetTest. 2022. RTR-NetTest Home Page. Retrieved November 23, 2022 from https:\/\/www.netztest.at\/en\/"},{"key":"e_1_3_2_28_2","volume-title":"SigCap","year":"2022","unstructured":"Firebase. 2022. SigCap. Retrieved August 5, 2022 from https:\/\/appdistribution.firebase.google.com\/pub\/i\/5b022e1d936d1211"},{"key":"e_1_3_2_29_2","volume-title":"Slices-RI Home Page","year":"2022","unstructured":"Slices-RI. 2022. Slices-RI Home Page. Retrieved December 13, 2022 from https:\/\/www.slices-ri.eu\/"},{"key":"e_1_3_2_30_2","volume-title":"Spectrum Management System","year":"2022","unstructured":"Government of Canada. 2022. Spectrum Management System. Retrieved August 5, 2022 from http:\/\/sms-sgs.ic.gc.ca\/eic\/site\/sms-sgs-prod.nsf\/eng\/home"},{"key":"e_1_3_2_31_2","volume-title":"SPECURE\u2014Open Data","year":"2022","unstructured":"SPECURE. 2022. SPECURE\u2014Open Data. Retrieved December 1, 2022 from https:\/\/www.meracinternetu.sk\/en\/opendata"},{"key":"e_1_3_2_32_2","volume-title":"tcpdump","year":"2022","unstructured":"Android tcpdump. 2022. tcpdump. Retrieved August 5, 2022 from https:\/\/www.androidtcpdump.com\/"},{"key":"e_1_3_2_33_2","unstructured":"Tutela. 2022. Tutela Home Page. Retrieved January 11 2023 from https:\/\/www.tutela.com"},{"key":"e_1_3_2_34_2","volume-title":"What Is BEREC?","year":"2022","unstructured":"BEREC. 2022. What Is BEREC? Retrieved November 22, 2022 from https:\/\/www.berec.europa.eu\/en\/berec\/what-is-berec"},{"key":"e_1_3_2_35_2","volume-title":"Wireless Testlab and OfficeLab","year":"2022","unstructured":"Imec iLab. 2022. Wireless Testlab and OfficeLab. Retrieved December 18, 2022 from https:\/\/doc.ilabt.imec.be\/ilabt\/wilab\/"},{"key":"e_1_3_2_36_2","volume-title":"Orange Flux Vision","year":"2023","unstructured":"Orange Business. 2023. Orange Flux Vision. Retrieved January 11, 2023 from https:\/\/www.orange-business.com\/fr\/produits\/flux-vision"},{"key":"e_1_3_2_37_2","volume-title":"Predict.io Home Page","year":"2023","unstructured":"Predict.io. 2023. Predict.io Home Page. Retrieved January 11, 2023 from https:\/\/www.predict.io"},{"key":"e_1_3_2_38_2","volume-title":"SFR Geostatistics","year":"2023","unstructured":"SFR Business. 2023. SFR Geostatistics. Retrieved January 11, 2023 from https:\/\/www.sfrbusiness.fr\/relation-client\/sfr-geostatistics\/"},{"key":"e_1_3_2_39_2","volume-title":"NG-RAN; Architecture Description","year":"2021","unstructured":"3GPP. 2021. NG-RAN; Architecture Description. Technical specification (TS) 38.401. Version 16.7.0. 3rd Generation Partnership Project (3GPP). https:\/\/portal.3gpp.org\/desktopmodules\/Specifications\/SpecificationDetails.aspx?specificationId=3219"},{"key":"e_1_3_2_40_2","volume-title":"Management and Orchestration; 5G Performance Measurements","year":"2022","unstructured":"3GPP. 2022. Management and Orchestration; 5G Performance Measurements. Technical specification (TS) 28.552. Version 17.1.0. 3rd Generation Partnership Project (3GPP). https:\/\/portal.3gpp.org\/desktopmodules\/Specifications\/SpecificationDetails.aspx?specificationId=3413"},{"key":"e_1_3_2_41_2","volume-title":"NR; Layer 2 Measurements","year":"2022","unstructured":"3GPP. 2022. NR; Layer 2 Measurements. Technical specification (TS) 38.314. Version 17.1.0. 3rd Generation Partnership Project (3GPP). https:\/\/portal.3gpp.org\/desktopmodules\/Specifications\/SpecificationDetails.aspx?specificationId=3671"},{"key":"e_1_3_2_42_2","volume-title":"NR; Physical Layer Measurements","year":"2022","unstructured":"3GPP. 2022. NR; Physical Layer Measurements. Technical specification (TS) 38.215. Version 17.2.0. 3rd Generation Partnership Project (3GPP). https:\/\/portal.3gpp.org\/desktopmodules\/Specifications\/SpecificationDetails.aspx?specificationId=3217"},{"key":"e_1_3_2_43_2","unstructured":"3GPP. 2022. Technical Specification Group Services and System Aspects; Release 17 Description. 3rd Generation Partnership Project (3GPP)."},{"key":"e_1_3_2_44_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3052462"},{"key":"e_1_3_2_45_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2019.2902547"},{"key":"e_1_3_2_46_2","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1201\/9781003337447-7","volume-title":"Building the Future Internet through FIRE","author":"Alay \u00d6zg\u00fc","year":"2022","unstructured":"\u00d6zg\u00fc Alay, Andra Lutu, Rafael Garc\u00eda, Miguel Pe\u00f3n-Quir\u00f3s, Vincenzo Mancuso, Thomas Hirsch, Tobias Dely, Jonas Werme, Kristian Evensen, Audun Hansen, Stefan Alfredsson, Jonas Karlsson, Anna Brunstrom, Ali Safari Khatouni, Marco Mellia, Marco Ajmone Marsan, Roberto Monno, and Hakon Lonsethagen. 2022. MONROE: Measuring mobile broadband networks in Europe. In Building the Future Internet through FIRE. River Publishers, 155\u2013187."},{"key":"e_1_3_2_47_2","volume-title":"O-RAN: Towards an Open and Smart RAN","author":"Alliance ORAN","year":"2018","unstructured":"ORAN Alliance. 2018. O-RAN: Towards an Open and Smart RAN. Retrieved July 26, 2023 from https:\/\/www.o-ran.org\/resources"},{"key":"e_1_3_2_48_2","volume-title":"Proceedings of the 12th International ITG Conference on Systems, Communications, and Coding (SCC\u201919)","author":"Arnold Maximilian","year":"2019","unstructured":"Maximilian Arnold, Jakob Hoydis, and Stephan ten Brink. 2019. Novel massive MIMO channel sounding data applied to deep learning-based indoor positioning. In Proceedings of the 12th International ITG Conference on Systems, Communications, and Coding (SCC\u201919). 1\u20136."},{"key":"e_1_3_2_49_2","doi-asserted-by":"publisher","unstructured":"Carlos Baena Oswaldo Sebasti\u00e1n Pe\u00f1aherrera-Pulla Lourdes Camacho Raquel Barco and Sergio Fortes. 2022. E2E Dataset of Video Streaming and Cloud Gaming Services over 4G and 5G. Retrieved July 26 2023 from 10.21227\/k0w8-qz67","DOI":"10.21227\/k0w8-qz67"},{"key":"e_1_3_2_50_2","doi-asserted-by":"publisher","DOI":"10.1177\/0361198120977655"},{"key":"e_1_3_2_51_2","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2015.55"},{"key":"e_1_3_2_52_2","volume-title":"Annex of Monitoring Quality of Internet Access Services in the Context of Net Neutrality","year":"2014","unstructured":"BEREC. 2014. Annex of Monitoring Quality of Internet Access Services in the Context of Net Neutrality. Report 14-117. Body of European Regulators for Electronic Communications (BEREC). https:\/\/www.berec.europa.eu\/sites\/default\/files\/files\/document_register_store\/2014\/9\/BoR2028142920117_Annex201_NN_QoS_Monitoring_Report_final.pdf"},{"key":"e_1_3_2_53_2","volume-title":"Net Neutrality Measurement Tool Specification","year":"2017","unstructured":"BEREC. 2017. Net Neutrality Measurement Tool Specification. Report 17-179. Body of European Regulators for Electronic Communications (BEREC). https:\/\/www.berec.europa.eu\/sites\/default\/files\/files\/document_register_store\/2017\/\\10\/BoR_281729_179_NN_measurement_tool_specification_-_Prep_for_publication_-_Clean.pdf"},{"key":"e_1_3_2_54_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2020.107436"},{"key":"e_1_3_2_55_2","first-page":"Article 10, 55","article-title":"A survey of results on mobile phone datasets analysis","author":"Blondel Vincent D.","year":"2015","unstructured":"Vincent D. Blondel, Adeline Decuyper, and Gautier Krings. 2015. A survey of results on mobile phone datasets analysis. EPJ Data Science 4 (2015), Article 10, 55 pages.","journal-title":"EPJ Data Science"},{"key":"e_1_3_2_56_2","article-title":"Data for development: The D4D challenge on mobile phone data","author":"Blondel Vincent D.","year":"2012","unstructured":"Vincent D. Blondel, Markus Esch, Connie Chan, Fabrice Cl\u00e9rot, Pierre Deville, Etienne Huens, Fr\u00e9d\u00e9ric Morlot, Zbigniew Smoreda, and Cezary Ziemlicki. 2012. Data for development: The D4D challenge on mobile phone data. arXiv preprint arXiv:1210.0137 (2012).","journal-title":"arXiv preprint arXiv:1210.0137"},{"key":"e_1_3_2_57_2","doi-asserted-by":"publisher","DOI":"10.1140\/epjds\/s13688-016-0075-3"},{"key":"e_1_3_2_58_2","doi-asserted-by":"publisher","DOI":"10.1145\/2910017.2910618"},{"key":"e_1_3_2_59_2","doi-asserted-by":"publisher","unstructured":"Lorenzo Bracciale Marco Bonola Pierpaolo Loreti Giuseppe Bianchi Raul Amici and Antonello Rabuffi. 2014. CRAWDAD dataset roma\/taxi (v. 2014-07-17). Retrieved July 26 2023 from 10.15783\/C7QC7M","DOI":"10.15783\/C7QC7M"},{"key":"e_1_3_2_60_2","volume-title":"The Open BTS Project","author":"Burgess David A.","year":"2008","unstructured":"David A. Burgess and Harvind S. Samra. 2008. The Open BTS Project. Technical Report. Kestrel Signal Processing."},{"key":"e_1_3_2_61_2","doi-asserted-by":"publisher","unstructured":"Julio Cesar Chaves. 2018. Ordinary Mobility Detected by Call Detail Records along 2014. Retrieved July 26 2023 from 10.7910\/DVN\/LAWIYW","DOI":"10.7910\/DVN\/LAWIYW"},{"key":"e_1_3_2_62_2","doi-asserted-by":"publisher","DOI":"10.1109\/WD.2016.7461480"},{"key":"e_1_3_2_63_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2021.12.019"},{"key":"e_1_3_2_64_2","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.5885636"},{"key":"e_1_3_2_65_2","volume-title":"Measuring Mobile Broadband","author":"Commission Federal Communications","year":"2020","unstructured":"Federal Communications Commission. 2020. Measuring Mobile Broadband. Retrieved August 4, 2022 from https:\/\/www.fcc.gov\/general\/measuring-mobile-broadband-performance"},{"key":"e_1_3_2_66_2","volume-title":"Measuring Broadband America Mobile Data","author":"Commission Federal Communications","year":"2022","unstructured":"Federal Communications Commission. 2022. Measuring Broadband America Mobile Data. Retrieved August 4, 2022 from https:\/\/www.fcc.gov\/reports-research\/reports\/measuring-broadband-america\/measuring-broadband-america-mobile-data#data-dictionaries-and-information"},{"key":"e_1_3_2_67_2","doi-asserted-by":"publisher","unstructured":"Quentin De Coninck Matthieu Baerts Benjamin Hesmans and Olivier Bonaventure. 2016. CRAWDAD Dataset uclouvain\/mptcp_smartphone (v. 2016-03-04). Retrieved July 26 2023 from 10.15783\/C7VG6H","DOI":"10.15783\/C7VG6H"},{"key":"e_1_3_2_68_2","doi-asserted-by":"publisher","unstructured":"Sibren De Bast and Sofie Pollin. 2021. Ultra Dense Indoor MaMIMO CSI Dataset. Retrieved July 26 2023 from 10.21227\/nr6k-8r78","DOI":"10.21227\/nr6k-8r78"},{"key":"e_1_3_2_69_2","article-title":"D4D-senegal: The second mobile phone data for development challenge","author":"Montjoye Yves-Alexandre de","year":"2014","unstructured":"Yves-Alexandre de Montjoye, Zbigniew Smoreda, Romain Trinquart, Cezary Ziemlicki, and Vincent D. Blondel. 2014. D4D-senegal: The second mobile phone data for development challenge. arXiv preprint arXiv:1407.4885 (2014).","journal-title":"arXiv preprint arXiv:1407.4885"},{"key":"e_1_3_2_70_2","doi-asserted-by":"publisher","DOI":"10.1145\/2663716.2663727"},{"key":"e_1_3_2_71_2","doi-asserted-by":"publisher","DOI":"10.1140\/epjds\/s13688-015-0040-6"},{"key":"e_1_3_2_72_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2020.3011898"},{"key":"e_1_3_2_73_2","doi-asserted-by":"publisher","unstructured":"Nathan Eagle and Alex (Sandy) Pentland. 2005. CRAWDAD Dataset mit\/reality (v. 2005-07-01). Retrieved July 26 2023 from 10.15783\/C71S31","DOI":"10.15783\/C71S31"},{"issue":"2","key":"e_1_3_2_74_2","first-page":"91","article-title":"Privacy in trajectory micro-data publishing: A survey","volume":"13","author":"Fiore Marco","year":"2020","unstructured":"Marco Fiore, Panagiota Katsikouli, Elli Zavou, Mathieu Cunche, Francoise Fessant, Dominique Le Hello, Ulrich Matchi Aivodji, Baptiste Olivier, Tony Quertier, and Razvan Stanica. 2020. Privacy in trajectory micro-data publishing: A survey. Transactions on Data Privacy 13, 2 (2020), 91\u2013149.","journal-title":"Transactions on Data Privacy"},{"key":"e_1_3_2_75_2","doi-asserted-by":"publisher","unstructured":"Kaixuan Gao Huiqiang Wang and Hongwu Lv. 2021. CSI Dataset towards 5G NR High-Precision Positioning. Retrieved July 26 2023 from 10.21227\/jsat-pb50","DOI":"10.21227\/jsat-pb50"},{"key":"e_1_3_2_76_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3157397"},{"key":"e_1_3_2_77_2","unstructured":"Arthur Gassner Claudiu Musat Alexandru Rusu and Andreas Burg. 2021. OpenCSI: An open-source dataset for indoor localization using CSI-based fingerprinting. arXiv e-prints arXiv:2104.07963 (2021)."},{"key":"e_1_3_2_78_2","doi-asserted-by":"publisher","DOI":"10.1145\/2980159.2980163"},{"key":"e_1_3_2_79_2","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2018.1800049"},{"key":"e_1_3_2_80_2","doi-asserted-by":"publisher","DOI":"10.1145\/3083187.3083211"},{"key":"e_1_3_2_81_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2014.02.011"},{"key":"e_1_3_2_82_2","doi-asserted-by":"publisher","DOI":"10.1109\/SGCAC.2016.7458022"},{"key":"e_1_3_2_83_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2020.105304"},{"key":"e_1_3_2_84_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCET.2009.170"},{"key":"e_1_3_2_85_2","doi-asserted-by":"publisher","unstructured":"Telecom Italia. 2015. Telecommunications - SMS Call Internet - TN. Retrieved July 26 2023 from 10.7910\/DVN\/QLCABU","DOI":"10.7910\/DVN\/QLCABU"},{"key":"e_1_3_2_86_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2019.104192"},{"key":"e_1_3_2_87_2","volume-title":"Proceedings of the International Conference on Email and Anti-Spam (CEAS\u201904)","author":"Klimt Bryan","year":"2004","unstructured":"Bryan Klimt and Yiming Yang. 2004. Introducing the Enron corpus. In Proceedings of the International Conference on Email and Anti-Spam (CEAS\u201904)."},{"key":"e_1_3_2_88_2","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2014.6736761"},{"key":"e_1_3_2_89_2","volume-title":"The Mobile Data Challenge: Big Data for Mobile Computing Research","author":"Laurila Juha K.","year":"2012","unstructured":"Juha K. Laurila, Daniel Gatica-Perez, Imad Aad, J. Blom, Olivier Bornet, Trinh-Minh-Tri Do, Olivier Dousse, Julien Eberle, and Markus Miettinen. 2012. The Mobile Data Challenge: Big Data for Mobile Computing Research. Technical Report. EPFL Scientific Publications."},{"key":"e_1_3_2_90_2","doi-asserted-by":"publisher","DOI":"10.1145\/1217299.1217301"},{"key":"e_1_3_2_91_2","doi-asserted-by":"publisher","DOI":"10.1145\/2973750.2973751"},{"key":"e_1_3_2_92_2","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2017.1601107"},{"key":"e_1_3_2_93_2","article-title":"The NetMob23 dataset: A high-resolution multi-region service-level mobile data traffic cartography","author":"Mart\u00ednez-Durive Orlando E.","year":"2023","unstructured":"Orlando E. Mart\u00ednez-Durive, Sachit Mishra, Cezary Ziemlicki, Stefania Rubrichi, Zbigniew Smoreda, and Marco Fiore. 2023. The NetMob23 dataset: A high-resolution multi-region service-level mobile data traffic cartography. arXiv preprint arXiv:2305.06933 (2023).","journal-title":"arXiv preprint arXiv:2305.06933"},{"key":"e_1_3_2_94_2","volume-title":"Proceedings of the International Conference on Neural Information Processing Systems (NIPS\u201912)","author":"McAuley Julian","year":"2012","unstructured":"Julian McAuley and Jure Leskovec. 2012. Learning to discover social circles in ego networks. In Proceedings of the International Conference on Neural Information Processing Systems (NIPS\u201912)."},{"key":"e_1_3_2_95_2","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.1220256"},{"key":"e_1_3_2_96_2","doi-asserted-by":"crossref","unstructured":"Tommaso Melodia Stefano Basagni Kaushik R. Chowdhury Abhimanyu Gosain Michele Polese Pedram Johari and Leonardo Bonati. 2021. Tutorial: Colosseum the world\u2019s largest wireless network emulator. In Proceedings of the 27th Annual International Conference on Mobile Computing and Networking (MobiCom\u201921).","DOI":"10.1145\/3447993.3488032"},{"key":"e_1_3_2_97_2","doi-asserted-by":"publisher","DOI":"10.3390\/data4010012"},{"key":"e_1_3_2_98_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2015.7248939"},{"key":"e_1_3_2_99_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2015.2491361"},{"key":"e_1_3_2_100_2","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380169"},{"key":"e_1_3_2_101_2","doi-asserted-by":"publisher","DOI":"10.1145\/3419394.3423629"},{"key":"e_1_3_2_102_2","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM48880.2022.9796693"},{"key":"e_1_3_2_103_2","doi-asserted-by":"publisher","DOI":"10.1145\/2677046.2677053"},{"key":"e_1_3_2_104_2","first-page":"1","article-title":"Efficient joint DOA and TOA estimation for indoor positioning with 5G picocell base stations","volume":"71","author":"Pan Mengguan","year":"2022","unstructured":"Mengguan Pan, Peng Liu, Shengheng Liu, Wangdong Qi, Yongming Huang, Xiaohu You, Xinghua Jia, and Xiaodong Li. 2022. Efficient joint DOA and TOA estimation for indoor positioning with 5G picocell base stations. IEEE Transactions on Instrumentation and Measurement 71 (2022), 1\u201319.","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"e_1_3_2_105_2","doi-asserted-by":"publisher","unstructured":"Mengguan Pan Shengheng Liu Peng Liu Wangdong Qi Yongming Huang Wang Zheng Qihui Wu and Markus Gardill. 2022. 5G CFR\/CSI Dataset for Wireless Channel Parameter Estimation Array Calibration and Indoor Positioning. Retrieved July 26 2023 from 10.21227\/k2f0-k132","DOI":"10.21227\/k2f0-k132"},{"key":"e_1_3_2_106_2","doi-asserted-by":"publisher","unstructured":"Michal Piorkowski Natasa Sarafijanovic-Djukic and Matthias Grossglauser. 2009. CRAWDAD Dataset epfl\/mobility (v. 2009-02-24). Retrieved July 26 2023 from 10.15783\/C7J010","DOI":"10.15783\/C7J010"},{"key":"e_1_3_2_107_2","doi-asserted-by":"publisher","DOI":"10.1145\/3339825.3394938"},{"key":"e_1_3_2_108_2","doi-asserted-by":"publisher","DOI":"10.1145\/3204949.3208123"},{"key":"e_1_3_2_109_2","volume-title":"Data-Driven Estimation of Spatiotemporal Performance Maps in Cellular Networks","author":"Raida Dipl-Ing Vaclav","year":"2021","unstructured":"Dipl-Ing Vaclav Raida. 2021. Data-Driven Estimation of Spatiotemporal Performance Maps in Cellular Networks. Ph. D. dissertation. University of Bologna Vienna."},{"key":"e_1_3_2_110_2","doi-asserted-by":"publisher","DOI":"10.23919\/TMA.2018.8506494"},{"key":"e_1_3_2_111_2","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9348145"},{"key":"e_1_3_2_112_2","doi-asserted-by":"publisher","DOI":"10.1109\/VTCSpring.2019.8746299"},{"key":"e_1_3_2_113_2","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC.2018.8580803"},{"key":"e_1_3_2_114_2","doi-asserted-by":"publisher","unstructured":"Vaclav Raida Philipp Svoboda and Markus Rupp. 2020. 2020-GLOBECOM-LTE-DL-static-rural-and-urban-outdoor-dataset. Retrieved July 26 2023 from 10.23728\/B2SHARE.F5DF0B362B7E473C825776EC166E658F","DOI":"10.23728\/B2SHARE.F5DF0B362B7E473C825776EC166E658F"},{"key":"e_1_3_2_115_2","doi-asserted-by":"publisher","unstructured":"Vaclav Raida Philipp Svoboda and Markus Rupp. 2020. 2020-GLOBECOM-LTE-DL-static-urban-indoor-dataset. Retrieved July 26 2023 from 10.23728\/B2SHARE.2367746915E34D1CA4BDA84193F8056B","DOI":"10.23728\/B2SHARE.2367746915E34D1CA4BDA84193F8056B"},{"key":"e_1_3_2_116_2","doi-asserted-by":"publisher","unstructured":"Vaclav Raida Philipp Svoboda and Markus Rupp. 2020. 2020-VTC-Fall-RP-DTW-dataset. Retrieved July 26 2023 from 10.23728\/B2SHARE.B7F93ADA6C6F46B296CD3C39665982C4","DOI":"10.23728\/B2SHARE.B7F93ADA6C6F46B296CD3C39665982C4"},{"key":"e_1_3_2_117_2","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2020-Fall49728.2020.9348487"},{"key":"e_1_3_2_118_2","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9348204"},{"key":"e_1_3_2_119_2","doi-asserted-by":"publisher","DOI":"10.1145\/2412096.2412101"},{"key":"e_1_3_2_120_2","doi-asserted-by":"publisher","DOI":"10.1145\/3372224.3380891"},{"key":"e_1_3_2_121_2","doi-asserted-by":"publisher","DOI":"10.1109\/4236.978369"},{"key":"e_1_3_2_122_2","article-title":"A comparison study of cellular deployments in Chicago and Miami using apps on smartphones","author":"Rochman Muhammad Iqbal","year":"2021","unstructured":"Muhammad Iqbal Rochman, Vanlin Sathya, Norlen Nunez, Damian Fernandez, Monisha Ghosh, Ahmed S. Ibrahim, and William Payne. 2021. A comparison study of cellular deployments in Chicago and Miami using apps on smartphones. arXiv preprint arXiv:2108.00453 (2021).","journal-title":"arXiv preprint arXiv:2108.00453"},{"key":"e_1_3_2_123_2","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411866"},{"key":"e_1_3_2_124_2","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.003.2200711"},{"key":"e_1_3_2_125_2","doi-asserted-by":"publisher","unstructured":"J. Xavier Salvat Lozano Jose A. Ayala-Romero Lanfranco Zanzi Andres Garcia-Saavedra and Xavier Costa-Perez. 2022. O-RAN Experimental Evaluation Datasets. Retrieved July 26 2023 from 10.21227\/64s5-q431","DOI":"10.21227\/64s5-q431"},{"key":"e_1_3_2_126_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21726-5_10"},{"key":"e_1_3_2_127_2","doi-asserted-by":"publisher","DOI":"10.1145\/3131473.3131476"},{"key":"e_1_3_2_128_2","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2003.1166661"},{"key":"e_1_3_2_129_2","doi-asserted-by":"publisher","unstructured":"Simon Tewes Markus Heinrichs Kevin Weinberger Rainer Kronberger and Aydin Sezgin. 2023. A Comprehensive Dataset of RIS-Based Channel Measurements in the 5GHz Band. Retrieved July 26 2023 from 10.21227\/zzx0-tp88","DOI":"10.21227\/zzx0-tp88"},{"key":"e_1_3_2_130_2","doi-asserted-by":"publisher","unstructured":"Raza Ul Mustafa Christian Esteve Rothenberg and Chadi Barakat. 2022. YouTube Goes 5G: Benchmarking YouTube in 4G vs 5G. Retrieved July 26 2023 from 10.21227\/h00h-ew92","DOI":"10.21227\/h00h-ew92"},{"key":"e_1_3_2_131_2","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2016.2601087"},{"key":"e_1_3_2_132_2","doi-asserted-by":"publisher","DOI":"10.1109\/EuCNC.2015.7194076"},{"key":"e_1_3_2_133_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2015.2450774"},{"key":"e_1_3_2_134_2","doi-asserted-by":"publisher","DOI":"10.23919\/WMNC.2019.8881828"},{"key":"e_1_3_2_135_2","first-page":"495","volume-title":"Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation (NSDI\u201920)","author":"Yan Francis Y.","year":"2020","unstructured":"Francis Y. Yan, Hudson Ayers, Chenzhi Zhu, Sadjad Fouladi, James Hong, Keyi Zhang, Philip Levis, and Keith Winstein. 2020. Learning in situ: A randomized experiment in video streaming. In Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation (NSDI\u201920). 495\u2013511."},{"key":"e_1_3_2_136_2","doi-asserted-by":"publisher","DOI":"10.1214\/16-AOAS913"}],"container-title":["ACM Computing Surveys"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3610402","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3610402","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:02Z","timestamp":1750182542000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3610402"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,15]]},"references-count":135,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,2,29]]}},"alternative-id":["10.1145\/3610402"],"URL":"https:\/\/doi.org\/10.1145\/3610402","relation":{},"ISSN":["0360-0300","1557-7341"],"issn-type":[{"value":"0360-0300","type":"print"},{"value":"1557-7341","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,15]]},"assertion":[{"value":"2022-08-05","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-07-11","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-09-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}