{"id":"https://openalex.org/W3021066175","doi":"https://doi.org/10.1109/mwc.001.1900351","title":"Artificial Intelligence Aided Joint Bit Rate Selection and Radio Resource Allocation for Adaptive Video Streaming over F-RANs","display_name":"Artificial Intelligence Aided Joint Bit Rate Selection and Radio Resource Allocation for Adaptive Video Streaming over F-RANs","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3021066175","doi":"https://doi.org/10.1109/mwc.001.1900351","mag":"3021066175"},"language":"en","primary_location":{"id":"doi:10.1109/mwc.001.1900351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwc.001.1900351","pdf_url":null,"source":{"id":"https://openalex.org/S146764194","display_name":"IEEE Wireless Communications","issn_l":"1536-1284","issn":["1536-1284","1558-0687"],"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 Wireless Communications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/10100605/1/CAO_LAYOUT.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078286204","display_name":"Jienan Chen","orcid":"https://orcid.org/0000-0003-1265-0775"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jienan Chen","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034778772","display_name":"Zhongxiang Wei","orcid":"https://orcid.org/0000-0003-0584-5566"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhongxiang Wei","raw_affiliation_strings":["University College London"],"affiliations":[{"raw_affiliation_string":"University College London","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100702796","display_name":"Shuai Li","orcid":"https://orcid.org/0000-0002-9938-0917"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Li","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000734023","display_name":"Bin Cao","orcid":"https://orcid.org/0000-0001-8839-243X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Cao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078286204"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":2.9433,"has_fulltext":true,"cited_by_count":44,"citation_normalized_percentile":{"value":0.9261212,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"27","issue":"2","first_page":"36","last_page":"43"},"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/T12720","display_name":"Multimedia Communication and Technology","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8837325572967529},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5521091222763062},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.49613985419273376},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.4573386013507843},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4510001540184021},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4452280104160309},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.4355369210243225},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.42807698249816895},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.42361822724342346},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.40934187173843384},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4088692367076874},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3529404401779175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34968018531799316},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32989901304244995},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19482997059822083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8837325572967529},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5521091222763062},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.49613985419273376},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.4573386013507843},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4510001540184021},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4452280104160309},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.4355369210243225},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.42807698249816895},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.42361822724342346},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.40934187173843384},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4088692367076874},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3529404401779175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34968018531799316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32989901304244995},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19482997059822083}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mwc.001.1900351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwc.001.1900351","pdf_url":null,"source":{"id":"https://openalex.org/S146764194","display_name":"IEEE Wireless Communications","issn_l":"1536-1284","issn":["1536-1284","1558-0687"],"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 Wireless Communications","raw_type":"journal-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10100605","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10100605/","pdf_url":"https://discovery.ucl.ac.uk/10100605/1/CAO_LAYOUT.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"   IEEE Wireless Communications , 27  (2)   pp. 36-43.   (2020)      ","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10100605","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10100605/","pdf_url":"https://discovery.ucl.ac.uk/10100605/1/CAO_LAYOUT.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"   IEEE Wireless Communications , 27  (2)   pp. 36-43.   (2020)      ","raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3021066175.pdf"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1788288079","https://openalex.org/W1976944900","https://openalex.org/W2057415916","https://openalex.org/W2744628735","https://openalex.org/W2745537382","https://openalex.org/W2759860816","https://openalex.org/W2760907405","https://openalex.org/W2810482148","https://openalex.org/W2849781392","https://openalex.org/W2900490252","https://openalex.org/W2921456883","https://openalex.org/W2944953156","https://openalex.org/W2945507395","https://openalex.org/W2962709657","https://openalex.org/W2962723483","https://openalex.org/W2997214666"],"related_works":["https://openalex.org/W4319083788","https://openalex.org/W2070965131","https://openalex.org/W2024104399","https://openalex.org/W4308273697","https://openalex.org/W3093601243","https://openalex.org/W2960369171","https://openalex.org/W4385483253","https://openalex.org/W2125702314","https://openalex.org/W2022479161","https://openalex.org/W2248892642"],"abstract_inverted_index":{"Recently,":[0],"fog-computing-based":[1],"radio":[2,42,77,110],"access":[3],"networks":[4],"(F-RANs)":[5],"have":[6],"been":[7],"conceptualized":[8],"to":[9,31,82,162,169,181],"provide":[10],"high":[11,193],"quality":[12,149,174],"of":[13,144,147,154,192,212,226],"experience":[14],"(QoE)":[15],"for":[16,90,175,229],"adaptive":[17],"bit":[18,38,73,114,177,195,202],"rate":[19,39,74,115,178,203],"(ABR)":[20],"streaming,":[21],"where":[22],"additional":[23],"computing":[24],"capacity":[25],"is":[26,54,134,160],"supplemented":[27],"on":[28,98],"fog":[29],"nodes":[30],"facilitate":[32],"complicated":[33],"cross-layer":[34],"optimization":[35,60,94],"(i.e.,":[36],"joint":[37,72],"selection":[40,75],"and":[41,76,112,125,200],"resource":[43,78,111],"allocation).":[44],"However,":[45],"finding":[46],"an":[47,67],"optimal":[48],"global":[49],"solution":[50],"with":[51],"acceptable":[52],"complexity":[53],"still":[55],"infeasible":[56],"by":[57,120,136,150,219],"the":[58,92,104,122,137,145,152,155,164,171,182,185,209,214,220,224],"conventional":[59],"methods.":[61],"In":[62],"this":[63],"work,":[64],"we":[65],"propose":[66],"artificial":[68],"intelligence":[69],"(AI)":[70],"aided":[71],"allocation":[79],"scheme":[80],"referred":[81],"as":[83],"iABR,":[84],"which":[85,140],"provides":[86],"a":[87,117],"new":[88],"vision":[89],"handling":[91],"over-complicated":[93],"in":[95,116,167,190],"F-RANs.":[96],"Based":[97],"multi-agent":[99],"hierarchy":[100],"deep":[101],"reinforcement":[102],"learning,":[103],"proposed":[105],"iABR":[106,138,159,186,221],"can":[107],"dynamically":[108],"allocate":[109],"select":[113],"multiuser":[118],"scenario,":[119],"perceiving":[121],"network":[123],"environment":[124],"clients'":[126],"player":[127],"information.":[128],"Moreover,":[129],"long":[130],"short-term":[131],"memory":[132],"(LSTM)":[133],"employed":[135],"algorithm,":[139,222],"enables":[141],"accurate":[142],"prediction":[143],"change":[146],"channel":[148,173],"learning":[151],"history":[153],"wireless":[156],"channel.":[157],"Hence,":[158],"able":[161],"adjust":[163],"action":[165],"policy":[166],"advance":[168],"accommodate":[170],"future":[172],"avoiding":[176],"fluctuation.":[179],"According":[180],"experimental":[183],"results,":[184],"exhibits":[187],"higher":[188],"QoE":[189,210],"terms":[191],"average":[194,201],"rate,":[196],"low":[197],"rebuffering":[198],"ratio,":[199],"variance.":[204],"Last":[205],"but":[206],"not":[207],"least,":[208],"performance":[211],"all":[213],"clients":[215],"are":[216],"fairly":[217],"guaranteed":[218],"enhancing":[223],"practicality":[225],"AI-driven":[227],"F-RANs":[228],"multimedia":[230],"service":[231],"delivery.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}