{"id":"https://openalex.org/W3203560872","doi":"https://doi.org/10.1109/icccworkshops52231.2021.9538906","title":"Video Semantics based Resource Allocation Algorithm for Spectrum Multiplexing Scenarios in Vehicular Networks","display_name":"Video Semantics based Resource Allocation Algorithm for Spectrum Multiplexing Scenarios in Vehicular Networks","publication_year":2021,"publication_date":"2021-07-28","ids":{"openalex":"https://openalex.org/W3203560872","doi":"https://doi.org/10.1109/icccworkshops52231.2021.9538906","mag":"3203560872"},"language":"en","primary_location":{"id":"doi:10.1109/icccworkshops52231.2021.9538906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccworkshops52231.2021.9538906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","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/A5072881181","display_name":"Meiyi Zhu","orcid":"https://orcid.org/0000-0001-9695-6880"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Meiyi Zhu","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Networks"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Networks","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100536990","display_name":"Chunyan Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chunyan Feng","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Networks"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Networks","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077440475","display_name":"Jiujiu Chen","orcid":"https://orcid.org/0000-0002-1731-9435"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiujiu Chen","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Networks"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Networks","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058648594","display_name":"Caili Guo","orcid":"https://orcid.org/0000-0001-8892-4520"},"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":"Caili Guo","raw_affiliation_strings":["Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070867325","display_name":"Xiaofang Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaofang Gao","raw_affiliation_strings":["State Grid Corporation Information and Communication Branch"],"affiliations":[{"raw_affiliation_string":"State Grid Corporation Information and Communication Branch","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072881181"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0027,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.75803839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9972000122070312,"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":0.979200005531311,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9765999913215637,"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":0.8729485273361206},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.6902498602867126},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.6414873003959656},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6390266418457031},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.5490624308586121},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5116837024688721},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.5099092721939087},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5069935321807861},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4552229642868042},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.42039021849632263},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3210674226284027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21432939171791077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8729485273361206},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.6902498602867126},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.6414873003959656},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6390266418457031},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.5490624308586121},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5116837024688721},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.5099092721939087},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5069935321807861},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4552229642868042},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.42039021849632263},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3210674226284027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21432939171791077},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccworkshops52231.2021.9538906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccworkshops52231.2021.9538906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321470","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W638264974","https://openalex.org/W1574991376","https://openalex.org/W2058474816","https://openalex.org/W2146659933","https://openalex.org/W2327261637","https://openalex.org/W2592798481","https://openalex.org/W2784111185","https://openalex.org/W2799944166","https://openalex.org/W2802508687","https://openalex.org/W2961039343","https://openalex.org/W2968764495","https://openalex.org/W2970264237","https://openalex.org/W2992914429","https://openalex.org/W2998709521","https://openalex.org/W3015913352","https://openalex.org/W3038801278","https://openalex.org/W3088406465","https://openalex.org/W3112379500","https://openalex.org/W3121065036","https://openalex.org/W3134818623","https://openalex.org/W4287553380","https://openalex.org/W4301483235","https://openalex.org/W6734678876","https://openalex.org/W6775738077"],"related_works":["https://openalex.org/W2044415708","https://openalex.org/W1939996075","https://openalex.org/W2118113972","https://openalex.org/W2923452570","https://openalex.org/W206598027","https://openalex.org/W2978610750","https://openalex.org/W2022931285","https://openalex.org/W2304003539","https://openalex.org/W1589966275","https://openalex.org/W2086872282"],"abstract_inverted_index":{"Due":[0],"to":[1,14,47,58,72,130],"the":[2,16,23,80,87,100,108,111,132,140,151],"time-varying":[3],"scenarios":[4],"and":[5,38,51,103,114,125,146,153],"multiple":[6],"requirements":[7],"in":[8],"vehicular":[9,82],"networks,":[10],"it":[11],"is":[12,128],"difficult":[13],"guarantee":[15],"accuracy":[17],"of":[18,34,40,79,110,142],"video":[19,75,93],"semantic":[20,59],"understanding":[21,60],"within":[22],"scarce":[24],"spectrum":[25,104],"resources.":[26],"Existing":[27],"resource":[28,96,134],"allocation":[29,97,135],"algorithms":[30],"such":[31],"as":[32],"quality":[33,39],"service":[35],"(QoS)":[36],"based":[37,43,67,95,156],"experience":[41],"(QoE)":[42],"algorithms,":[44],"respectively":[45],"prone":[46],"optimize":[48],"network":[49],"performance":[50,149],"user":[52],"experience,":[53],"are":[54],"no":[55],"longer":[56],"applicable":[57],"tasks.":[61],"Furthermore,":[62],"a":[63,92],"recently":[64],"proposed":[65,144],"semantics":[66,94,155],"algorithm":[68,145],"exclusively":[69],"considers":[70],"vehicle":[71,101],"infrastructure":[73],"(V2I)":[74],"transmission":[76],"tasks,":[77],"regardless":[78],"practical":[81],"networks":[83],"scenarios.":[84,106],"To":[85],"tackle":[86],"challenges":[88],"above,":[89],"we":[90],"propose":[91],"model":[98],"under":[99],"moving":[102],"multiplexing":[105],"On":[107],"ground":[109],"time-dependent":[112],"environment":[113],"diverse":[115],"needs,":[116],"multi-agent":[117],"reinforcement":[118],"learning,":[119],"which":[120],"peculiarly":[121],"owns":[122],"sequential":[123],"decision":[124],"reward":[126],"mechanism,":[127],"employed":[129],"obtain":[131],"optimal":[133],"scheme.":[136],"Simulation":[137],"results":[138],"show":[139],"effectiveness":[141],"our":[143],"its":[147],"better":[148],"than":[150],"traditional":[152],"existing":[154],"algorithms.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}