{"id":"https://openalex.org/W4402835783","doi":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683249","title":"Edge Computing QoE Maximization in EV Parking Scenario","display_name":"Edge Computing QoE Maximization in EV Parking Scenario","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4402835783","doi":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683249"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2024-spring62846.2024.10683249","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vtc2024-spring62846.2024.10683249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)","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/A5018352325","display_name":"Yu-Chieh Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Chieh Lee","raw_affiliation_strings":["National Taiwan University,Department of Electrical Engineering,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University,Department of Electrical Engineering,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051151762","display_name":"Yao Chiang","orcid":"https://orcid.org/0000-0002-0392-6525"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yao Chiang","raw_affiliation_strings":["National Taiwan University,Department of Electrical Engineering,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University,Department of Electrical Engineering,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045339787","display_name":"Hung\u2010Yu Wei","orcid":"https://orcid.org/0000-0002-3116-306X"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hung-Yu Wei","raw_affiliation_strings":["National Taiwan University,Department of Electrical Engineering,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University,Department of Electrical Engineering,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9591000080108643,"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":0.9591000080108643,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9546999931335449,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9108999967575073,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7604390978813171},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6043774485588074},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5932576656341553},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5286902785301208},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3721136450767517},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17742598056793213},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.11295965313911438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7604390978813171},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6043774485588074},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5932576656341553},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5286902785301208},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3721136450767517},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17742598056793213},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.11295965313911438},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2024-spring62846.2024.10683249","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vtc2024-spring62846.2024.10683249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)","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":12,"referenced_works":["https://openalex.org/W2963163009","https://openalex.org/W2988318805","https://openalex.org/W3092156873","https://openalex.org/W3107865739","https://openalex.org/W3114411754","https://openalex.org/W3122989495","https://openalex.org/W3189867955","https://openalex.org/W3195877370","https://openalex.org/W4205948434","https://openalex.org/W4321021835","https://openalex.org/W4384698877","https://openalex.org/W4386352688"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W4386004629","https://openalex.org/W2942586735"],"abstract_inverted_index":{"Facing":[0],"the":[1,6,86,92,132],"emergence":[2],"of":[3],"6G":[4],"and":[5,37,69,77,90,95,105,110,131],"rapid":[7],"increase":[8],"in":[9],"electric":[10],"vehicles":[11],"(EVs),":[12],"smart":[13],"parking":[14,50],"lots":[15,51],"providing":[16],"real-time":[17],"services":[18],"like":[19],"EV":[20],"charging":[21,65],"have":[22],"become":[23],"essential.":[24],"Edge":[25],"computing,":[26],"due":[27],"to":[28,31,101,126],"its":[29,41],"proximity":[30],"end":[32],"devices,":[33],"offers":[34],"low":[35],"latency":[36],"high":[38],"bandwidth,":[39],"but":[40],"limited":[42],"resources":[43],"necessitate":[44],"efficient":[45],"allocation.":[46],"We":[47,81],"present":[48],"a":[49],"scenario":[52],"with":[53,73],"edge":[54],"computing":[55],"system":[56,83],"offering":[57],"four":[58],"key":[59],"services:":[60],"Supply":[61],"Equipment":[62],"Communication":[63],"Controller,":[64],"space":[66],"detection,":[67],"monitoring,":[68],"video":[70],"streaming,":[71],"along":[72],"their":[74],"QoE":[75,108],"models":[76],"cor-responding":[78],"estimation":[79],"models.":[80],"predict":[82],"requests":[84,128],"for":[85],"next":[87],"time":[88],"slot":[89],"employ":[91],"Maximum-chosen":[93],"algorithm":[94],"Collaborative":[96,133],"Optimal":[97,134],"Decision":[98,135],"Search":[99,136],"method":[100,137],"optimize":[102],"service":[103,141],"deployment":[104],"assignment,":[106],"maximizing":[107],"values":[109],"resource":[111],"efficiency.":[112],"Simulation":[113],"results":[114],"validate":[115],"that":[116,122],"we":[117],"can":[118,138],"obtain":[119],"request":[120],"status":[121],"is":[123],"more":[124],"similar":[125],"real":[127],"by":[129],"prediction":[130],"generate":[139],"optimal":[140],"assignment":[142],"strategy":[143],"within":[144],"different":[145],"methods.":[146]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}