{"id":"https://openalex.org/W4317419684","doi":"https://doi.org/10.1109/vtc2022-fall57202.2022.10012694","title":"Cybertwin-Driven Multi-Intelligent Reflecting Surfaces aided Vehicular Edge Computing Leveraged by Deep Reinforcement Learning","display_name":"Cybertwin-Driven Multi-Intelligent Reflecting Surfaces aided Vehicular Edge Computing Leveraged by Deep Reinforcement Learning","publication_year":2022,"publication_date":"2022-09-01","ids":{"openalex":"https://openalex.org/W4317419684","doi":"https://doi.org/10.1109/vtc2022-fall57202.2022.10012694"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2022-fall57202.2022.10012694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-fall57202.2022.10012694","pdf_url":null,"source":{"id":"https://openalex.org/S4363607792","display_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","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/A5100712935","display_name":"Xuhui Zhang","orcid":"https://orcid.org/0000-0002-2778-5755"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"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/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuhui Zhang","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Shenzhen, China","The Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]},{"raw_affiliation_string":"The Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038139556","display_name":"Huijun Xing","orcid":"https://orcid.org/0009-0000-3053-5522"},"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":"Huijun Xing","raw_affiliation_strings":["The Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong,Shenzhen,China","The Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"The Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong,Shenzhen,China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"The Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024667188","display_name":"Weilin Zang","orcid":"https://orcid.org/0000-0003-0357-9436"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weilin Zang","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057186171","display_name":"Zhenzhen Jin","orcid":"https://orcid.org/0000-0001-5003-811X"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhen Jin","raw_affiliation_strings":["Southern University of Science and Technology,Shenzhen,China","Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033047627","display_name":"Yanyan Shen","orcid":"https://orcid.org/0000-0003-0639-2925"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Shen","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100712935"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210116924","https://openalex.org/I4210145761"],"apc_list":null,"apc_paid":null,"fwci":1.6023,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84606345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9984999895095825,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9984999895095825,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9603999853134155,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8326276540756226},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7834650278091431},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.6918416619300842},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5908902883529663},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.5525453686714172},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5393462181091309},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5212603211402893},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4562252163887024},{"id":"https://openalex.org/keywords/computation-offloading","display_name":"Computation offloading","score":0.42856431007385254},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4179733693599701},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.3640925884246826},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3265436291694641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23431098461151123},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1341908872127533},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.12821051478385925}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8326276540756226},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7834650278091431},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.6918416619300842},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5908902883529663},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.5525453686714172},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5393462181091309},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5212603211402893},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4562252163887024},{"id":"https://openalex.org/C2781041963","wikidata":"https://www.wikidata.org/wiki/Q18348618","display_name":"Computation offloading","level":4,"score":0.42856431007385254},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4179733693599701},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3640925884246826},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3265436291694641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23431098461151123},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1341908872127533},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.12821051478385925},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2022-fall57202.2022.10012694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-fall57202.2022.10012694","pdf_url":null,"source":{"id":"https://openalex.org/S4363607792","display_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W595252221","https://openalex.org/W2005477504","https://openalex.org/W2486013602","https://openalex.org/W2803207845","https://openalex.org/W2898035736","https://openalex.org/W2969424089","https://openalex.org/W2991103840","https://openalex.org/W3016680526","https://openalex.org/W3038283497","https://openalex.org/W3106790501","https://openalex.org/W3135269945","https://openalex.org/W3160036209","https://openalex.org/W3160527734","https://openalex.org/W3170397984","https://openalex.org/W4280533963","https://openalex.org/W4280647590","https://openalex.org/W4285211764","https://openalex.org/W4286507536","https://openalex.org/W4292672186","https://openalex.org/W4293195318"],"related_works":["https://openalex.org/W4200420173","https://openalex.org/W3120617837","https://openalex.org/W3127808443","https://openalex.org/W2916011811","https://openalex.org/W3034137700","https://openalex.org/W4362496467","https://openalex.org/W2896883851","https://openalex.org/W2917127270","https://openalex.org/W3185499500","https://openalex.org/W3014317926"],"abstract_inverted_index":{"Recently,":[0],"the":[1,29,33,39,52,61,109,119,128,137,169],"cybertwin-driven":[2,71],"intelligent":[3,160],"internet":[4,72],"of":[5,73,111,121,124],"vehicles":[6,46,82],"has":[7],"received":[8],"widespread":[9],"consideration":[10],"in":[11,35,83,114,127],"modern":[12],"smart":[13],"cities":[14],"which":[15],"makes":[16],"it":[17,132],"possible":[18],"to":[19,32,47,51,60,106,135],"run":[20],"high":[21],"dimensional,":[22],"low-latency":[23],"tolerating,":[24],"and":[25,118,141,155],"computational-intensive":[26],"tasks":[27,50],"on":[28,97],"vehicles.":[30,125],"Thanks":[31],"development":[34],"mobile":[36,45,81],"edge":[37,42],"computing,":[38],"so-called":[40],"vehicular":[41],"computing":[43,78,162,176],"allows":[44],"offload":[48],"their":[49],"road-side":[53],"unit":[54],"or":[55,87],"hybrid":[56],"access":[57],"point":[58],"due":[59],"limited":[62],"computation":[63],"capability.":[64],"In":[65],"this":[66,98,147],"paper,":[67],"we":[68,101,149],"consider":[69],"a":[70,151],"vehicle":[74],"system":[75,99,130],"that":[76,168],"provides":[77],"services":[79],"for":[80],"local":[84],"area":[85,89,116],"network":[86,90],"wide":[88,115],"aided":[91],"with":[92,179],"multi-intelligent":[93],"reflecting":[94],"surfaces.":[95],"Based":[96],"model,":[100,131],"investigate":[102],"an":[103],"optimization":[104],"problem":[105],"jointly":[107],"maximize":[108],"sum":[110,120],"data":[112],"rate":[113],"network,":[117],"energy":[122],"utilities":[123],"However,":[126],"proposed":[129,170],"is":[133],"complicated":[134],"design":[136],"optimal":[138],"phase,":[139],"scheduling":[140],"offloading":[142],"decision":[143],"policy.":[144,163],"To":[145],"solve":[146],"issue,":[148],"propose":[150],"block":[152],"coordinate":[153],"descent":[154],"deep":[156],"reinforcement":[157],"learning":[158],"based":[159],"IoV":[161,175],"Numerical":[164],"results":[165],"have":[166],"verified":[167],"algorithm":[171],"can":[172],"achieve":[173],"better":[174],"performance":[177],"compared":[178],"four":[180],"relative":[181],"benchmark":[182],"algorithms.":[183]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}