{"id":"https://openalex.org/W3045763445","doi":"https://doi.org/10.1109/icc40277.2020.9148685","title":"Accuracy vs. Cost Trade-off for Machine Learning Based QoE Estimation in 5G Networks","display_name":"Accuracy vs. Cost Trade-off for Machine Learning Based QoE Estimation in 5G Networks","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3045763445","doi":"https://doi.org/10.1109/icc40277.2020.9148685","mag":"3045763445"},"language":"en","primary_location":{"id":"doi:10.1109/icc40277.2020.9148685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9148685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11250/2730488","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040544054","display_name":"Susanna Schwarzmann","orcid":"https://orcid.org/0000-0002-3705-7559"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Susanna Schwarzmann","raw_affiliation_strings":["Technische Universit\u00e4t Berlin, Berlin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Berlin","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068855838","display_name":"Clarissa Cassales Marquezan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210129353","display_name":"Huawei Technologies (Germany)","ror":"https://ror.org/038cdme44","country_code":"DE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Clarissa Cassales Marquezan","raw_affiliation_strings":["Huawei Technologies, M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I4210129353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089631314","display_name":"Riccardo Trivisonno","orcid":"https://orcid.org/0000-0003-4190-5781"},"institutions":[{"id":"https://openalex.org/I4210129353","display_name":"Huawei Technologies (Germany)","ror":"https://ror.org/038cdme44","country_code":"DE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Riccardo Trivisonno","raw_affiliation_strings":["Huawei Technologies, M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I4210129353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034738514","display_name":"Shinichi Nakajima","orcid":"https://orcid.org/0000-0003-3970-4569"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Shinichi Nakajima","raw_affiliation_strings":["Technische Universit\u00e4t Berlin, Berlin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Berlin","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016804745","display_name":"Thomas Zinner","orcid":"https://orcid.org/0000-0002-4179-4105"},"institutions":[{"id":"https://openalex.org/I4210165875","display_name":"NTNU Samfunnsforskning","ror":"https://ror.org/05pv30e80","country_code":"NO","type":"facility","lineage":["https://openalex.org/I4210165875"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Thomas Zinner","raw_affiliation_strings":["NTNU, Trondheim"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTNU, Trondheim","institution_ids":["https://openalex.org/I4210165875"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1747,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.81295714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8522982597351074},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.6441142559051514},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5356416702270508},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5289706587791443},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4735390543937683},{"id":"https://openalex.org/keywords/video-streaming","display_name":"Video streaming","score":0.46439605951309204},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42208051681518555},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.38780808448791504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3543586730957031},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.34584322571754456},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3356674313545227},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3229541778564453}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8522982597351074},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.6441142559051514},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5356416702270508},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5289706587791443},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4735390543937683},{"id":"https://openalex.org/C2986160907","wikidata":"https://www.wikidata.org/wiki/Q220499","display_name":"Video streaming","level":2,"score":0.46439605951309204},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42208051681518555},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.38780808448791504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3543586730957031},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.34584322571754456},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3356674313545227},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3229541778564453},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icc40277.2020.9148685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9148685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"},{"id":"pmh:oai:ntnuopen.ntnu.no:11250/2730488","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/2730488","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":{"id":"pmh:oai:ntnuopen.ntnu.no:11250/2730488","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/2730488","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bookPart"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2135046866","https://openalex.org/W2555248751","https://openalex.org/W2610855322","https://openalex.org/W2731412463","https://openalex.org/W2740604066","https://openalex.org/W2795658001","https://openalex.org/W2799095784","https://openalex.org/W2801164385","https://openalex.org/W2810598854","https://openalex.org/W2898499449","https://openalex.org/W2903500163","https://openalex.org/W2907041159","https://openalex.org/W2910790589","https://openalex.org/W2935899418","https://openalex.org/W2951955003","https://openalex.org/W2980549496","https://openalex.org/W2980641823","https://openalex.org/W4244705237","https://openalex.org/W4302287780","https://openalex.org/W4379230031","https://openalex.org/W6727229539","https://openalex.org/W6764481550","https://openalex.org/W6785440207"],"related_works":["https://openalex.org/W2044415708","https://openalex.org/W3158763334","https://openalex.org/W3116791087","https://openalex.org/W2324542997","https://openalex.org/W3215753686","https://openalex.org/W2750774494","https://openalex.org/W4385624534","https://openalex.org/W2101347143","https://openalex.org/W2127587205","https://openalex.org/W2960886762"],"abstract_inverted_index":{"Since":[0],"their":[1,173],"first":[2],"release,":[3],"5G":[4,44,69,88],"systems":[5],"have":[6],"been":[7,110,136],"enhanced":[8],"with":[9,18,23,170],"Network":[10],"Data":[11],"Analytics":[12],"Functionalities":[13],"(NWDAF)":[14],"as":[15,17],"well":[16],"the":[19,85,92,103,119,130,153,156,161,164],"ability":[20],"to":[21,138,172],"interact":[22],"3rd":[24,104],"parties'":[25],"Application":[26],"Functions":[27],"(AFs).":[28],"Such":[29],"capabilities":[30],"enable":[31],"a":[32],"variety":[33],"of":[34,54,87,94,114,123,144,155],"potentials,":[35],"unimaginable":[36],"for":[37,50,63,129],"earlier":[38],"generation":[39],"networks,":[40],"notable":[41],"examples":[42],"being":[43],"built-in":[45],"Machine":[46],"Learning":[47],"(ML)":[48],"mechanisms":[49],"QoE":[51,66,95,115],"estimation,":[52,131],"subject":[53],"this":[55,58],"paper.":[56],"In":[57],"work,":[59],"an":[60,79],"ML-based":[61],"mechanism":[62,76,108],"video":[64,98],"streaming":[65,99],"estimation":[67,116],"in":[68,83,112,121],"networks":[70],"is":[71],"presented":[72],"and":[73,91,127,132],"evaluated.":[74],"The":[75,107,146],"relies":[77],"on":[78,160],"ML":[80],"algorithm":[81],"embedded":[82],"NWDAF,":[84],"collection":[86,93],"network":[89],"KPIs,":[90],"information":[96],"from":[97],"service":[100],"provider,":[101],"i.e.,":[102],"party":[105],"AF.":[106],"has":[109,135],"evaluated":[111],"terms":[113,122],"accuracy":[117],"against":[118],"cost":[120],"required":[124,165],"input":[125,166],"sources":[126,167],"data":[128],"its":[133],"performance":[134],"compared":[137],"alternative":[139],"methodologies":[140],"not":[141],"making":[142],"use":[143],"ML.":[145],"evaluation,":[147],"via":[148],"simulation":[149],"activity,":[150],"clearly":[151],"highlights":[152],"benefits":[154],"proposed":[157],"mechanism.":[158],"Based":[159],"derived":[162],"results,":[163],"are":[168],"ranked":[169],"respect":[171],"importance.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}