{"id":"https://openalex.org/W2953565240","doi":"https://doi.org/10.1109/qomex.2019.8743281","title":"Analysis and Estimation of Video QoE in Wireless Cellular Networks using Machine Learning","display_name":"Analysis and Estimation of Video QoE in Wireless Cellular Networks using Machine Learning","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2953565240","doi":"https://doi.org/10.1109/qomex.2019.8743281","mag":"2953565240"},"language":"en","primary_location":{"id":"doi:10.1109/qomex.2019.8743281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2019.8743281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066586973","display_name":"Dimitar Minovski","orcid":"https://orcid.org/0000-0003-1139-6998"},"institutions":[{"id":"https://openalex.org/I4210140178","display_name":"Infobric (Sweden)","ror":"https://ror.org/03bz02915","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210140178"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Dimitar Minovski","raw_affiliation_strings":["InfoVista Sweden AB"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InfoVista Sweden AB","institution_ids":["https://openalex.org/I4210140178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040470927","display_name":"Christer \u00c5hlund","orcid":"https://orcid.org/0000-0002-8681-9572"},"institutions":[{"id":"https://openalex.org/I190632392","display_name":"Lule\u00e5 University of Technology","ror":"https://ror.org/016st3p78","country_code":"SE","type":"education","lineage":["https://openalex.org/I190632392"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Christer Ahlund","raw_affiliation_strings":["Lule\u00e5 University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lule\u00e5 University of Technology","institution_ids":["https://openalex.org/I190632392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023662998","display_name":"Karan Mitra","orcid":"https://orcid.org/0000-0003-3489-7429"},"institutions":[{"id":"https://openalex.org/I190632392","display_name":"Lule\u00e5 University of Technology","ror":"https://ror.org/016st3p78","country_code":"SE","type":"education","lineage":["https://openalex.org/I190632392"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Karan Mitra","raw_affiliation_strings":["Lule\u00e5 University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lule\u00e5 University of Technology","institution_ids":["https://openalex.org/I190632392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084664337","display_name":"Per Johansson","orcid":"https://orcid.org/0000-0001-6140-9123"},"institutions":[{"id":"https://openalex.org/I4210140178","display_name":"Infobric (Sweden)","ror":"https://ror.org/03bz02915","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210140178"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Per Johansson","raw_affiliation_strings":["InfoVista Sweden AB"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InfoVista Sweden AB","institution_ids":["https://openalex.org/I4210140178"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.098,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.85467026,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"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":0.9998999834060669,"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":0.9998999834060669,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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":0.7986485958099365},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6176543235778809},{"id":"https://openalex.org/keywords/header","display_name":"Header","score":0.5917840600013733},{"id":"https://openalex.org/keywords/mean-opinion-score","display_name":"Mean opinion score","score":0.5514631271362305},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.5046452283859253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49163633584976196},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.45707967877388},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.454384446144104},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4451759457588196},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32825350761413574},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.309855580329895},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.2831951975822449}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7986485958099365},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6176543235778809},{"id":"https://openalex.org/C48105269","wikidata":"https://www.wikidata.org/wiki/Q1141160","display_name":"Header","level":2,"score":0.5917840600013733},{"id":"https://openalex.org/C62897895","wikidata":"https://www.wikidata.org/wiki/Q1915482","display_name":"Mean opinion score","level":3,"score":0.5514631271362305},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.5046452283859253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49163633584976196},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.45707967877388},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.454384446144104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4451759457588196},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32825350761413574},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.309855580329895},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.2831951975822449},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/qomex.2019.8743281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2019.8743281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307791","display_name":"Cisco Systems","ror":"https://ror.org/03yt1ez60"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1496659747","https://openalex.org/W1583495910","https://openalex.org/W1686238934","https://openalex.org/W1873332500","https://openalex.org/W1983200196","https://openalex.org/W2074128438","https://openalex.org/W2080284038","https://openalex.org/W2112841646","https://openalex.org/W2119057756","https://openalex.org/W2124542511","https://openalex.org/W2129293712","https://openalex.org/W2132549992","https://openalex.org/W2140952319","https://openalex.org/W2162458147","https://openalex.org/W2234598170","https://openalex.org/W2345053074","https://openalex.org/W2401200627","https://openalex.org/W2420245003","https://openalex.org/W2474880636","https://openalex.org/W2620788719","https://openalex.org/W2727698908","https://openalex.org/W2808096139","https://openalex.org/W2890079987","https://openalex.org/W2914839418","https://openalex.org/W6639175750","https://openalex.org/W6717082673"],"related_works":["https://openalex.org/W2943685190","https://openalex.org/W2516823580","https://openalex.org/W3027116454","https://openalex.org/W2023826535","https://openalex.org/W2046455617","https://openalex.org/W1995358030","https://openalex.org/W1996783258","https://openalex.org/W2611572988","https://openalex.org/W3127182254","https://openalex.org/W2796797126"],"abstract_inverted_index":{"The":[0,26,94,129],"use":[1,108],"of":[2,23,50,64,84],"video":[3,17,33,69,122],"streaming":[4,89],"services":[5],"are":[6,45],"increasing":[7],"in":[8,92],"the":[9,48,81,85,126,134,159,195],"cellular":[10],"networks,":[11],"inferring":[12],"a":[13,114],"need":[14],"to":[15,19,56,112,132],"monitor":[16],"quality":[18,34,123],"meet":[20],"users\u2019":[21],"Quality":[22],"Experience":[24],"(QoE).":[25],"so-called":[27],"no-reference":[28],"(NR)":[29],"models":[30],"for":[31,67],"estimating":[32],"metrics":[35,98,111,124],"mainly":[36],"rely":[37],"on":[38],"packet-header":[39],"and":[40,59,104,144,152,169,180,189],"bitstream":[41],"information.":[42],"However,":[43],"there":[44],"situations":[46],"where":[47],"availability":[49],"such":[51,99],"information":[52],"is":[53,131],"limited":[54],"due":[55],"tighten":[57],"security":[58],"encryption,":[60],"which":[61],"necessitates":[62],"exploration":[63],"alternative":[65],"parameters":[66,197],"conducting":[68],"QoE":[70],"assessment.":[71],"In":[72],"this":[73],"study":[74],"we":[75,164,184],"collect":[76],"real-live":[77],"in-smartphone":[78],"measurements":[79,96],"describing":[80],"radio":[82,95,110],"link":[83],"LTE":[86],"connection":[87],"while":[88],"reference":[90,127],"videos":[91],"uplink.":[93],"include":[97],"as":[100],"RSSI,":[101],"RSRP,":[102],"RSRQ,":[103],"CINR.":[105],"We":[106],"then":[107],"these":[109],"train":[113],"Random":[115],"Forrest":[116],"machine":[117],"learning":[118],"model":[119,154,191],"against":[120],"calculated":[121],"from":[125],"videos.":[128],"aim":[130],"estimate":[133],"Mean":[135],"Opinion":[136],"Score":[137],"(MOS),":[138],"PSNR,":[139,175],"Frame":[140,142,176,178],"delay,":[141,177],"skips,":[143],"Blurriness.":[145],"Our":[146],"result":[147],"show":[148],"94%":[149],"classification":[150,171],"accuracy,":[151],"85%":[153],"accuracy":[155,172,192],"(R2value)":[156,193],"when":[157,173],"predicting":[158,174],"MOS":[160],"using":[161,198],"regression.":[162,199],"Correspondingly,":[163],"achieve":[165,185],"89%,":[166],"84%,":[167],"85%,":[168],"82%":[170],"Skips,":[179],"Blurriness":[181],"respectively.":[182],"Further,":[183],"81%,":[186],"77%,":[187],"79%,":[188],"75%":[190],"regarding":[194],"same":[196]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
