{"id":"https://openalex.org/W4362513962","doi":"https://doi.org/10.1109/jiot.2023.3263885","title":"Ebublio: Edge-Assisted Multiuser 360\u00b0 Video Streaming","display_name":"Ebublio: Edge-Assisted Multiuser 360\u00b0 Video Streaming","publication_year":2023,"publication_date":"2023-04-03","ids":{"openalex":"https://openalex.org/W4362513962","doi":"https://doi.org/10.1109/jiot.2023.3263885"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3263885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3263885","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"},"type":"article","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/A5014168147","display_name":"Yili Jin","orcid":"https://orcid.org/0000-0002-7127-8902"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yili Jin","raw_affiliation_strings":["Future Network of Intelligence Institute and the School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7127-8902","affiliations":[{"raw_affiliation_string":"Future Network of Intelligence Institute and the School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100741944","display_name":"Junhua Liu","orcid":"https://orcid.org/0009-0007-4494-765X"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhua Liu","raw_affiliation_strings":["Future Network of Intelligence Institute and the School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0007-4494-765X","affiliations":[{"raw_affiliation_string":"Future Network of Intelligence Institute and the School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101686970","display_name":"Fangxin Wang","orcid":"https://orcid.org/0000-0003-2559-045X"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangxin Wang","raw_affiliation_strings":["School of Science and Engineering, Future Network of Intelligence InstituteGuangdong Provincial Key Laboratory of Future Networks of Intelligence, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2559-045X","affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Future Network of Intelligence InstituteGuangdong Provincial Key Laboratory of Future Networks of Intelligence, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009164482","display_name":"Shuguang Cui","orcid":"https://orcid.org/0000-0003-2608-775X"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuguang Cui","raw_affiliation_strings":["School of Science and Engineering, Future Network of Intelligence InstituteGuangdong Provincial Key Laboratory of Future Networks of Intelligence, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","Shenzhen Research Institute of Big Data, Shenzhen, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2608-775X","affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Future Network of Intelligence InstituteGuangdong Provincial Key Laboratory of Future Networks of Intelligence, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Shenzhen, China","institution_ids":["https://openalex.org/I4210099586"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3788,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.95808414,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"10","issue":"17","first_page":"15408","last_page":"15419"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12720","display_name":"Multimedia Communication and Technology","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8188437819480896},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5180230736732483},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.41854652762413025},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19011184573173523}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8188437819480896},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5180230736732483},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.41854652762413025},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19011184573173523}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2023.3263885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3263885","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6186998356","display_name":null,"funder_award_id":"2023A1515012668","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"},{"id":"https://openalex.org/G6225236103","display_name":null,"funder_award_id":"62102342","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1810027076","https://openalex.org/W2038818196","https://openalex.org/W2064675550","https://openalex.org/W2469524028","https://openalex.org/W2523974527","https://openalex.org/W2527384707","https://openalex.org/W2585813514","https://openalex.org/W2622637199","https://openalex.org/W2623784065","https://openalex.org/W2743147997","https://openalex.org/W2744431661","https://openalex.org/W2755405751","https://openalex.org/W2766090788","https://openalex.org/W2766426138","https://openalex.org/W2895957446","https://openalex.org/W2896595273","https://openalex.org/W2896840651","https://openalex.org/W2897460799","https://openalex.org/W2920378308","https://openalex.org/W2963439135","https://openalex.org/W2964942120","https://openalex.org/W2968289224","https://openalex.org/W2989592486","https://openalex.org/W3009009611","https://openalex.org/W3017189976","https://openalex.org/W3032056119","https://openalex.org/W3032637606","https://openalex.org/W3047354607","https://openalex.org/W3105022665","https://openalex.org/W3121963345","https://openalex.org/W3122351391","https://openalex.org/W3128182885","https://openalex.org/W3135533221","https://openalex.org/W3136920339","https://openalex.org/W3138954746","https://openalex.org/W3154476408","https://openalex.org/W3182194057","https://openalex.org/W4214600685","https://openalex.org/W4293584584","https://openalex.org/W4367662893","https://openalex.org/W6638123962","https://openalex.org/W6683584131","https://openalex.org/W6750227808","https://openalex.org/W6809652992","https://openalex.org/W6891720892"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"As":[0],"one":[1,197],"of":[2,7,42,64,92,152,183,219],"the":[3,23,62,73,108,141,170,181,199,208,217],"most":[4],"important":[5],"manifestations":[6],"virtual":[8],"reality":[9],"(VR),":[10],"360\u00b0":[11,34,58,145],"panoramic":[12],"videos":[13,35],"in":[14,144,226,232],"recent":[15],"years":[16],"have":[17],"experienced":[18],"booming":[19],"development":[20,63],"due":[21],"to":[22,31,57,71,101,139,167],"desire":[24],"for":[25,75,192],"immersive":[26],"and":[27,49,66,116,159,174,188,202,229],"interactive":[28],"experiences.":[29],"Compared":[30],"traditional":[32],"videos,":[33],"are":[36],"featured":[37],"with":[38,112,222],"uncertain":[39],"user":[40,110,172,186],"Field":[41],"View":[43],"(FoV),":[44],"more":[45],"sensitive":[46],"delay":[47],"tolerance,":[48],"much":[50],"higher":[51],"bandwidth":[52],"requirement,":[53],"bringing":[54],"unprecedented":[55],"challenges":[56,143],"video":[59,78,146,184],"streaming.":[60,79,147],"Meanwhile,":[61],"5G":[65],"mobile":[67],"edge":[68,136],"computing":[69],"starts":[70],"pave":[72],"way":[74],"high-bandwidth":[76],"low-latency":[77],"Some":[80],"preliminary":[81],"works":[82],"focus":[83],"on":[84],"either":[85],"individual":[86],"FoV":[87,155,227],"prediction":[88,156],"or":[89],"multiuser":[90],"Quality":[91],"Experience":[93],"(QoE)":[94],"oriented":[95],"cache":[96],"strategy":[97],"design,":[98],"while":[99],"how":[100],"design":[102],"a":[103,121,133,153,160,203],"holistic":[104],"solution":[105],"toward":[106,207],"optimizing":[107],"overall":[109],"QoE":[111,173,233],"considerations":[113],"over":[114],"fairness":[115],"long-term":[117,161,171],"system":[118,175],"cost":[119],"remains":[120],"nontrivial":[122],"problem.":[123],"In":[124],"this":[125],"article,":[126],"we":[127],"propose":[128],"<monospace":[129,148],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[130,149],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Ebublio</monospace>":[131,150],",":[132],"novel":[134],"intelligent":[135],"caching":[137,163,210],"framework":[138,201],"address":[140],"aforementioned":[142],"consists":[151],"collaborative":[154],"(CFP)":[157],"module":[158,166,179],"tile":[162],"optimization":[164,205],"(LTO)":[165],"jointly":[168],"optimize":[169],"cost.":[176],"The":[177,195],"former":[178],"integrates":[180],"features":[182],"content,":[185],"trajectory,":[187],"other":[189],"users\u2019":[190],"records":[191],"combined":[193],"prediction.":[194],"latter":[196],"employs":[198],"Lyapunov":[200],"subgradient":[204],"approach":[206],"optimal":[209],"replacement":[211],"policy.":[212],"Our":[213],"trace-driven":[214],"evaluation":[215],"demonstrates":[216],"superiority":[218],"our":[220],"framework,":[221],"about":[223],"42%":[224],"improvement":[225,231],"prediction,":[228],"36%":[230],"at":[234],"similar":[235],"traffic":[236],"consumption.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
