{"id":"https://openalex.org/W4297882551","doi":"https://doi.org/10.1145/3492866.3549726","title":"Index-aware reinforcement learning for adaptive video streaming at the wireless edge","display_name":"Index-aware reinforcement learning for adaptive video streaming at the wireless edge","publication_year":2022,"publication_date":"2022-09-21","ids":{"openalex":"https://openalex.org/W4297882551","doi":"https://doi.org/10.1145/3492866.3549726"},"language":"en","primary_location":{"id":"doi:10.1145/3492866.3549726","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3492866.3549726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","raw_type":"proceedings-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/A5016263347","display_name":"Guojun Xiong","orcid":"https://orcid.org/0000-0002-5943-8109"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guojun Xiong","raw_affiliation_strings":["SUNY-Binghamton University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SUNY-Binghamton University","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008594685","display_name":"Xudong Qin","orcid":"https://orcid.org/0000-0001-9821-4418"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xudong Qin","raw_affiliation_strings":["Pennsylvania State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365193","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-5746-9665"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["Pennsylvania State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055489202","display_name":"Rahul Singh","orcid":"https://orcid.org/0000-0003-0363-3666"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rahul Singh","raw_affiliation_strings":["Indian Institute of Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100402612","display_name":"Jian Li","orcid":"https://orcid.org/0000-0003-3642-3569"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Li","raw_affiliation_strings":["SUNY-Binghamton University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SUNY-Binghamton University","institution_ids":["https://openalex.org/I123946342"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5206,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83940694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"81","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9977999925613403,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9958000183105469,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8412402868270874},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7753627300262451},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.7197202444076538},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5793876051902771},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.548554003238678},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.533073902130127},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5113641619682312},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47600802779197693},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.463077187538147},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.45571282505989075},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4035087823867798},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.26392462849617004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2528657019138336},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16451331973075867},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10363075137138367},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08516654372215271}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8412402868270874},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7753627300262451},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.7197202444076538},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5793876051902771},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.548554003238678},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.533073902130127},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5113641619682312},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47600802779197693},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.463077187538147},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.45571282505989075},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4035087823867798},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.26392462849617004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2528657019138336},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16451331973075867},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10363075137138367},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08516654372215271},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3492866.3549726","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3492866.3549726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3672616710","display_name":null,"funder_award_id":"2104880,2148309","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1850488217","https://openalex.org/W1976944900","https://openalex.org/W1981226617","https://openalex.org/W2003798390","https://openalex.org/W2017146017","https://openalex.org/W2077544013","https://openalex.org/W2115138651","https://openalex.org/W2123805908","https://openalex.org/W2127034683","https://openalex.org/W2135063910","https://openalex.org/W2149943599","https://openalex.org/W2168405694","https://openalex.org/W2294512426","https://openalex.org/W2300178424","https://openalex.org/W2507174453","https://openalex.org/W2511028367","https://openalex.org/W2602023803","https://openalex.org/W2711678697","https://openalex.org/W2744628735","https://openalex.org/W2759860816","https://openalex.org/W2849781392","https://openalex.org/W2963556501","https://openalex.org/W2964079373","https://openalex.org/W3010949162","https://openalex.org/W3020125231","https://openalex.org/W3028612210","https://openalex.org/W3087810330","https://openalex.org/W3104937890","https://openalex.org/W3175748441","https://openalex.org/W4206497039","https://openalex.org/W4283209274","https://openalex.org/W4283799802","https://openalex.org/W4298023569"],"related_works":["https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2101991911","https://openalex.org/W2155070487","https://openalex.org/W4311589891","https://openalex.org/W1925875298","https://openalex.org/W4292701710"],"abstract_inverted_index":{"We":[0,137,176],"study":[1],"adaptive":[2],"video":[3,24],"streaming":[4],"for":[5,159,182,198],"multiple":[6],"users":[7],"in":[8,95,108],"wireless":[9,112],"access":[10,113],"edge":[11,114],"networks":[12],"with":[13,120,145],"unreliable":[14],"channels.":[15],"The":[16],"key":[17],"challenge":[18],"is":[19,38,42,51,72,80,117,190],"to":[20,54,106],"jointly":[21],"optimize":[22],"the":[23,32,75,85,96,111,152,155,179],"bitrate":[25],"adaptation":[26],"and":[27,50,79,124,186,194],"resource":[28],"allocation":[29],"such":[30],"that":[31,139,178],"users'":[33],"cumulative":[34],"quality":[35],"of":[36,98,154,170,191],"experience":[37],"maximized.":[39],"This":[40],"problem":[41,49],"a":[43,62,142,146],"finite-horizon":[44],"restless":[45],"multi-armed":[46],"multi-action":[47],"bandit":[48],"provably":[52,81],"hard":[53],"solve.":[55],"To":[56],"overcome":[57],"this":[58],"challenge,":[59],"we":[60,126],"propose":[61],"computationally":[63],"appealing":[64],"index":[65,101,184],"policy":[66,185],"entitled":[67],"Quality":[68,156],"Index":[69,157],"Policy,":[70],"which":[71,103],"well-defined":[73],"without":[74,84],"Whittle":[76],"indexability":[77],"condition":[78],"asymptotically":[82],"optimal":[83],"global":[86],"attractor":[87],"condition.":[88],"These":[89],"two":[90],"conditions":[91],"are":[92,104],"widely":[93],"needed":[94],"design":[97],"most":[99],"existing":[100],"policies,":[102],"difficult":[105],"establish":[107],"general.":[109],"Since":[110],"network":[115],"environment":[116],"highly":[118],"dynamic":[119],"system":[121],"parameters":[122],"unknown":[123],"time-varying,":[125],"further":[127],"develop":[128],"an":[129],"index-aware":[130,187],"reinforcement":[131],"learning":[132],"(RL)":[133],"algorithm":[134,189],"dubbed":[135],"QA-UCB.":[136],"show":[138],"QA-UCB":[140],"achieves":[141],"sub-linear":[143],"regret":[144],"low-complexity":[147],"since":[148],"it":[149],"fully":[150],"exploits":[151],"structure":[153],"Policy":[158],"making":[160],"decisions.":[161],"Extensive":[162],"simulations":[163],"using":[164],"real-world":[165],"traces":[166],"demonstrate":[167],"significant":[168],"gains":[169],"proposed":[171,180],"policies":[172],"over":[173],"conventional":[174],"approaches.":[175],"note":[177],"framework":[181],"designing":[183],"RL":[188],"independent":[192],"interest":[193],"could":[195],"be":[196],"useful":[197],"other":[199],"large-scale":[200],"multi-user":[201],"problems.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}