{"id":"https://openalex.org/W1574726412","doi":"https://doi.org/10.1109/icc.2015.7248799","title":"Adaptive learning for scalable video transmission with HARQ over dynamic wireless channels","display_name":"Adaptive learning for scalable video transmission with HARQ over dynamic wireless channels","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1574726412","doi":"https://doi.org/10.1109/icc.2015.7248799","mag":"1574726412"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2015.7248799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2015.7248799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Communications (ICC)","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/A5046054684","display_name":"Wenbo Wang","orcid":"https://orcid.org/0000-0002-7500-8723"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenbo Wang","raw_affiliation_strings":["Department of Computer Engineering, Rochester Institute of Technology, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Rochester Institute of Technology, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031417073","display_name":"Andres Kwasinski","orcid":"https://orcid.org/0000-0002-8083-8318"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andres Kwasinski","raw_affiliation_strings":["Department of Computer Engineering, Rochester Institute of Technology, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Rochester Institute of Technology, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":0.2428,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.37096985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3094","last_page":"3099"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998000264167786,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9990000128746033,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9961000084877014,"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":0.8272066116333008},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.6994389295578003},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4918813705444336},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4781423807144165},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4779769778251648},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4777107238769531},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4673246443271637},{"id":"https://openalex.org/keywords/hybrid-automatic-repeat-request","display_name":"Hybrid automatic repeat request","score":0.46569809317588806},{"id":"https://openalex.org/keywords/scalable-video-coding","display_name":"Scalable Video Coding","score":0.4578477442264557},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.43285244703292847},{"id":"https://openalex.org/keywords/channel-allocation-schemes","display_name":"Channel allocation schemes","score":0.4310765862464905},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.41928917169570923},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.337885320186615},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.30858689546585083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23396605253219604},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.13036257028579712}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8272066116333008},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.6994389295578003},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4918813705444336},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4781423807144165},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4779769778251648},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4777107238769531},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4673246443271637},{"id":"https://openalex.org/C118437007","wikidata":"https://www.wikidata.org/wiki/Q1017139","display_name":"Hybrid automatic repeat request","level":3,"score":0.46569809317588806},{"id":"https://openalex.org/C133529210","wikidata":"https://www.wikidata.org/wiki/Q1076113","display_name":"Scalable Video Coding","level":3,"score":0.4578477442264557},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.43285244703292847},{"id":"https://openalex.org/C114237682","wikidata":"https://www.wikidata.org/wiki/Q5072483","display_name":"Channel allocation schemes","level":3,"score":0.4310765862464905},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.41928917169570923},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.337885320186615},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.30858689546585083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23396605253219604},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.13036257028579712},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2015.7248799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2015.7248799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1518931405","https://openalex.org/W1566110434","https://openalex.org/W2042077652","https://openalex.org/W2101915445","https://openalex.org/W2120033267","https://openalex.org/W2122948971","https://openalex.org/W2124077370","https://openalex.org/W2138350250","https://openalex.org/W2149918488","https://openalex.org/W2154188754","https://openalex.org/W2163362100","https://openalex.org/W2166615620","https://openalex.org/W2172073677","https://openalex.org/W6633996991"],"related_works":["https://openalex.org/W2093805614","https://openalex.org/W2160687205","https://openalex.org/W2936301543","https://openalex.org/W3117231723","https://openalex.org/W2378499691","https://openalex.org/W2017933274","https://openalex.org/W3092980819","https://openalex.org/W2370789601","https://openalex.org/W4205820599","https://openalex.org/W1654541684"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,26,72,80,86,89,100,110,118,123,127,131,141,149,156],"problem":[4,17,49],"of":[5,18,28,50,71,102,148],"dynamic,":[6],"real-time":[7],"video":[8,30,74],"transmission":[9,91,119],"control":[10,22],"over":[11,55],"a":[12,56,63],"time-varying":[13,57],"wireless":[14,58],"channel.":[15],"The":[16,48,69,144],"adaptive":[19,44],"source":[20],"coding":[21,31],"is":[23,40,60,77,114,134],"studied":[24],"on":[25,88],"basis":[27],"scalable":[29],"schemes.":[32],"A":[33],"video-layer-based":[34],"hybrid":[35],"automatic":[36],"repeat":[37],"request":[38],"scheme":[39],"adopted":[41,115],"to":[42,78,98],"achieve":[43],"error":[45],"protection":[46],"allocation.":[47],"joint":[51],"source-channel":[52],"resource":[53],"allocation":[54],"channel":[59,104],"posed":[61],"as":[62],"constrained":[64,124,132],"Markov":[65],"Decision":[66],"Process":[67],"(MDP).":[68],"goal":[70],"proposed":[73,150],"streaming":[75],"MDP":[76,125,133,139],"minimize":[79],"average":[81,90],"end-to-end":[82],"frame":[83],"distortion":[84,108],"with":[85,126,155],"constraint":[87],"time":[92],"for":[93,116],"each":[94],"layer.":[95],"In":[96],"order":[97],"address":[99],"issue":[101],"unknown":[103],"dynamics":[105],"and":[106,146],"inaccurate":[107],"model,":[109],"R-learning-based":[111],"on-line":[112],"algorithm":[113,152],"learning":[117,151],"police.":[120],"To":[121],"handle":[122],"standard":[128],"R-learning":[129],"algorithm,":[130],"converted":[135],"into":[136],"an":[137],"unconstrained":[138],"through":[140],"Lagrangian":[142],"approach.":[143],"efficiency":[145],"convergence":[147],"are":[153],"demonstrated":[154],"simulation":[157],"results.":[158]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
