{"id":"https://openalex.org/W4414647041","doi":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174529","title":"QoE-Aware Resource Allocation in Mobile Edge Computing Enabled Vehicular Metaverse","display_name":"QoE-Aware Resource Allocation in Mobile Edge Computing Enabled Vehicular Metaverse","publication_year":2025,"publication_date":"2025-06-17","ids":{"openalex":"https://openalex.org/W4414647041","doi":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174529"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2025-spring65109.2025.11174529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring)","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/A5100743106","display_name":"Zhixiang Liu","orcid":"https://orcid.org/0000-0002-3544-263X"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhixiang Liu","raw_affiliation_strings":["School of Communications and Information Engineering, Xi&#x0027;an University of Posts and Telecommunications,Shaanxi Key Laboratory of Information Communication Network and Security,Xi&#x0027;an,China,710121"],"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Xi&#x0027;an University of Posts and Telecommunications,Shaanxi Key Laboratory of Information Communication Network and Security,Xi&#x0027;an,China,710121","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101662219","display_name":"Aijing Sun","orcid":"https://orcid.org/0000-0001-7978-4060"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aijing Sun","raw_affiliation_strings":["School of Communications and Information Engineering, Xi&#x0027;an University of Posts and Telecommunications,Shaanxi Key Laboratory of Information Communication Network and Security,Xi&#x0027;an,China,710121"],"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Xi&#x0027;an University of Posts and Telecommunications,Shaanxi Key Laboratory of Information Communication Network and Security,Xi&#x0027;an,China,710121","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030092282","display_name":"Jianbo Du","orcid":"https://orcid.org/0000-0002-0845-4942"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbo Du","raw_affiliation_strings":["School of Communications and Information Engineering, Xi&#x0027;an University of Posts and Telecommunications,Shaanxi Key Laboratory of Information Communication Network and Security,Xi&#x0027;an,China,710121"],"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Xi&#x0027;an University of Posts and Telecommunications,Shaanxi Key Laboratory of Information Communication Network and Security,Xi&#x0027;an,China,710121","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329437","display_name":"Chong Wang","orcid":"https://orcid.org/0000-0002-0631-7100"},"institutions":[{"id":"https://openalex.org/I4210086028","display_name":"Technology and Engineering Center for Space Utilization","ror":"https://ror.org/00cn03n83","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210086028"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Wang","raw_affiliation_strings":["Chinese Academy of Sciences,Key Laboratory of Space Utilization"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Key Laboratory of Space Utilization","institution_ids":["https://openalex.org/I4210086028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107840513","display_name":"Yuan Gao","orcid":"https://orcid.org/0009-0002-6397-2854"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Gao","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University,Shanghai,China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015873448","display_name":"Bintao Hu","orcid":"https://orcid.org/0000-0003-4821-0448"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bintao Hu","raw_affiliation_strings":["School of Internet of Things, Xi&#x0027;an Jiaotong-Liverpool University,Suzhou,China,215123"],"affiliations":[{"raw_affiliation_string":"School of Internet of Things, Xi&#x0027;an Jiaotong-Liverpool University,Suzhou,China,215123","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108315263","display_name":"Lei Liu","orcid":"https://orcid.org/0009-0006-8246-7123"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Liu","raw_affiliation_strings":["The Guangzhou Institute of Technology, Xidian University,Guangzhou,China,510555"],"affiliations":[{"raw_affiliation_string":"The Guangzhou Institute of Technology, Xidian University,Guangzhou,China,510555","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100743106"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30529621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9077000021934509,"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"}},"topics":[{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9077000021934509,"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/metaverse","display_name":"Metaverse","score":0.5720000267028809},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5374000072479248},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.48100000619888306},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.47600001096725464},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.47589999437332153},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.44119998812675476},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.43689998984336853},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4300999939441681},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4251999855041504}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7856000065803528},{"id":"https://openalex.org/C53332860","wikidata":"https://www.wikidata.org/wiki/Q2632041","display_name":"Metaverse","level":3,"score":0.5720000267028809},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5374000072479248},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.48100000619888306},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.47600001096725464},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.47589999437332153},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.44119998812675476},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.43689998984336853},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4300999939441681},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4251999855041504},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.42089998722076416},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4072999954223633},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3725999891757965},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.36399999260902405},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.35830000042915344},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.35589998960494995},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.3555000126361847},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.3271999955177307},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3255000114440918},{"id":"https://openalex.org/C116537","wikidata":"https://www.wikidata.org/wiki/Q2169973","display_name":"Service provider","level":3,"score":0.3140999972820282},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.29589998722076416},{"id":"https://openalex.org/C172195944","wikidata":"https://www.wikidata.org/wiki/Q541265","display_name":"Ubiquitous computing","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C192448918","wikidata":"https://www.wikidata.org/wiki/Q682677","display_name":"Vehicular ad hoc network","level":4,"score":0.26930001378059387},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.25949999690055847}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2025-spring65109.2025.11174529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1580992242","display_name":null,"funder_award_id":"62271391","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0,39],"this":[1,40,95],"study,":[2],"we":[3,76,98],"propose":[4],"a":[5,100],"mobile":[6],"edge":[7],"computing":[8],"(MEC)-enabled":[9],"vehicular":[10,145],"Metaverse":[11,27,31,146],"system":[12],"designed":[13],"for":[14,45,142],"augmented":[15],"reality":[16],"(AR)":[17],"services,":[18],"where":[19],"vehicles":[20,42,60],"on":[21],"the":[22,26,113,117],"road":[23],"can":[24],"access":[25],"service":[28,32],"through":[29],"nearby":[30],"providers":[33],"(MSPs)":[34],"equipped":[35],"with":[36,107,116],"MEC":[37],"servers.":[38],"system,":[41],"are":[43],"charged":[44],"their":[46],"use":[47],"of":[48,73,119],"computational":[49],"and":[50,57,85,122],"communication":[51],"resources.":[52],"Due":[53],"to":[54,88,111],"varying":[55],"positions":[56],"viewing":[58],"angles,":[59],"may":[61],"have":[62],"different":[63],"content":[64,83],"preferences.":[65],"To":[66,93],"minimize":[67],"cost":[68],"while":[69],"ensuring":[70],"optimal":[71],"quality":[72],"experience":[74],"(QoE),":[75],"formulate":[77],"an":[78,139],"optimization":[79,96],"problem":[80,115],"that":[81,128],"adjusts":[82],"resolution":[84],"resource":[86],"allocation":[87],"match":[89],"individual":[90],"vehicle":[91],"needs.":[92],"address":[94],"problem,":[97],"introduce":[99],"deep":[101],"reinforcement":[102],"learning":[103],"(DRL)":[104],"algorithm":[105],"integrated":[106],"active":[108],"inference":[109],"theory":[110],"solve":[112],"decision-making":[114],"performance":[118],"low":[120],"latency":[121],"high":[123],"efficiency.":[124],"Simulation":[125],"results":[126],"demonstrate":[127],"our":[129],"proposed":[130],"scheme":[131],"outperforms":[132],"comparative":[133],"algorithms":[134],"in":[135],"comprehensive":[136],"performance,":[137],"providing":[138],"effective":[140],"solution":[141],"optimizing":[143],"AR-enabled":[144],"systems.":[147]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
