{"id":"https://openalex.org/W4409149020","doi":"https://doi.org/10.1109/tvt.2025.3558337","title":"QoE-Aware Latency Optimization in Semantic Transmission Empowered Edge Assisted AR","display_name":"QoE-Aware Latency Optimization in Semantic Transmission Empowered Edge Assisted AR","publication_year":2025,"publication_date":"2025-04-04","ids":{"openalex":"https://openalex.org/W4409149020","doi":"https://doi.org/10.1109/tvt.2025.3558337"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2025.3558337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3558337","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-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/A5012917959","display_name":"Yang Li","orcid":"https://orcid.org/0000-0003-3720-7729"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Li","raw_affiliation_strings":["School of Computer and Artificial Intelligent, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligent, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082844557","display_name":"Yuan Wu","orcid":"https://orcid.org/0000-0001-6661-9461"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yuan Wu","raw_affiliation_strings":["State Key Laboratory of Internet of Things for Smart City and Department of Computer and Information Science, University of Macau, Macau SAR, China","State Key Laboratory of Internet of Things for Smart City and Department of Computer and Information Science, University of Macau, Macau, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Internet of Things for Smart City and Department of Computer and Information Science, University of Macau, Macau SAR, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]},{"raw_affiliation_string":"State Key Laboratory of Internet of Things for Smart City and Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007865788","display_name":"Huanlai Xing","orcid":"https://orcid.org/0000-0002-6345-7265"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanlai Xing","raw_affiliation_strings":["School of Computer and Artificial Intelligent, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligent, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Li Feng","orcid":"https://orcid.org/0009-0008-2212-9768"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Feng","raw_affiliation_strings":["School of Computer and Artificial Intelligent, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligent, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006546107","display_name":"Tian Wang","orcid":"https://orcid.org/0000-0003-4819-621X"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Wang","raw_affiliation_strings":["Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, China","Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101752580","display_name":"Weijia Jia","orcid":"https://orcid.org/0000-0003-1000-3937"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijia Jia","raw_affiliation_strings":["Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, China","Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5012917959"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":1.5908,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82351717,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"74","issue":"9","first_page":"14432","last_page":"14444"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9387000203132629,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9387000203132629,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6394839286804199},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5656954646110535},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4694233536720276},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4561540186405182},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4336881935596466},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.234542578458786}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6394839286804199},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5656954646110535},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4694233536720276},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4561540186405182},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4336881935596466},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.234542578458786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2025.3558337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3558337","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4471597934","display_name":null,"funder_award_id":"62272117","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6941089652","display_name":null,"funder_award_id":"2682024GF003","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7118187161","display_name":null,"funder_award_id":"2682024CX029","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8160964939","display_name":null,"funder_award_id":"62272050","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2124488712","https://openalex.org/W2894645340","https://openalex.org/W2919979744","https://openalex.org/W3013536937","https://openalex.org/W3028612210","https://openalex.org/W3047488480","https://openalex.org/W3117560819","https://openalex.org/W3134445612","https://openalex.org/W3168682287","https://openalex.org/W3182194057","https://openalex.org/W3198139956","https://openalex.org/W3206899736","https://openalex.org/W3207401133","https://openalex.org/W3210492780","https://openalex.org/W3214426660","https://openalex.org/W4205683915","https://openalex.org/W4226042246","https://openalex.org/W4226073470","https://openalex.org/W4287485128","https://openalex.org/W4312766166","https://openalex.org/W4312788538","https://openalex.org/W4312885347","https://openalex.org/W4312940001","https://openalex.org/W4313350220","https://openalex.org/W4315629738","https://openalex.org/W4315630316","https://openalex.org/W4317892524","https://openalex.org/W4320490877","https://openalex.org/W4323896648","https://openalex.org/W4324116358","https://openalex.org/W4324296656","https://openalex.org/W4367280466","https://openalex.org/W4378647921","https://openalex.org/W4379382310","https://openalex.org/W4379382423","https://openalex.org/W4380365050","https://openalex.org/W4381802353","https://openalex.org/W4385452934","https://openalex.org/W4385731839","https://openalex.org/W4386736634","https://openalex.org/W4387831864","https://openalex.org/W4387870557","https://openalex.org/W4388052971","https://openalex.org/W4389544586","https://openalex.org/W4394773622","https://openalex.org/W4401328460","https://openalex.org/W4401536854"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Augmented":[0],"reality":[1],"(AR)":[2],"enhances":[3],"human":[4],"perception":[5],"by":[6,244],"overlaying":[7],"digital":[8],"information":[9,189],"in":[10,43],"the":[11,29,52,58,64,77,103,112,129,139,154,158,196,202,209,213,221,236,247,267,284,289],"real":[12],"environment":[13,54],"and":[14,25,61,135,142,176,224,253,287],"can":[15,74,200,281],"be":[16],"applied":[17],"to":[18,50,57,62,101,120,128,147,170,195,219,234,265],"various":[19],"fields":[20],"such":[21],"as":[22],"education,":[23],"healthcare,":[24],"industry.":[26],"To":[27,87,109],"relieve":[28],"computing":[30],"pressure":[31],"of":[32,105,124,132,160,174,181,190,205,212,227,240],"resourcelimited":[33],"AR":[34,38,48,100,113,197,243,280],"devices,":[35,198],"edge":[36,59,98,155,241,278],"assisted":[37,99,242,279],"has":[39],"attracted":[40],"significant":[41],"attention":[42],"recent":[44],"years.":[45],"It":[46],"enables":[47],"devices":[49,114],"offload":[51],"computation-intensive":[53],"analysis":[55],"tasks":[56],"server":[60,156],"download":[63],"point-based":[65],"3D":[66,162,191,206,228],"virtual":[67,163],"objects":[68,192],"for":[69],"rendering.":[70],"Although":[71],"this":[72,89,91,110,185,231],"method":[73],"effectively":[75,282],"reduce":[76,102,201,283],"processing":[78],"latency,":[79],"it":[80,165],"may":[81],"introduce":[82],"a":[83,94,167,172,178],"long":[84],"transmission":[85,149,203,225],"latency.":[86,108],"address":[88],"issue,":[90],"work":[92,232],"proposes":[93],"semantic":[95,122,188,248,275],"communication":[96,137,276],"empowered":[97,277],"quality":[104,223],"experience":[106],"(QoE)-aware":[107],"end,":[111],"first":[115],"utilize":[116],"an":[117],"image":[118],"encoder":[119,169,215],"extract":[121],"features":[123,134],"source":[125],"images.":[126],"Due":[127],"importance":[130],"difference":[131],"extracted":[133],"limited":[136],"resources,":[138],"feature":[140,249],"selection":[141],"bandwidth":[143,254],"allocation":[144],"are":[145],"explored":[146],"improve":[148],"efficiency.":[150],"In":[151,184],"addition,":[152],"when":[153],"completes":[157],"generation":[159],"pointbased":[161],"objects,":[164],"employs":[166],"transformer-based":[168],"mask":[171,210,251],"proportion":[173],"points":[175],"learn":[177],"high-level":[179],"representation":[180],"unmasked":[182],"points.":[183],"way,":[186],"low-complexity":[187],"is":[193,216,263],"sent":[194],"which":[199],"overhead":[204],"objects.":[207,229],"Moreover,":[208],"ratio":[211],"point":[214],"further":[217],"optimized":[218],"balance":[220],"reconstructed":[222],"latency":[226,239,286],"Therefore,":[230],"aims":[233],"minimize":[235],"overall":[237,285],"QoE-aware":[238],"jointly":[245],"optimizing":[246],"selection,":[250],"ratio,":[252],"allocation.":[255],"A":[256],"convexbased":[257],"improved":[258],"Harris":[259],"Hawks":[260],"optimization":[261],"algorithm":[262],"designed":[264],"solve":[266],"formulated":[268],"problem.":[269],"Experimental":[270],"results":[271],"demonstrate":[272],"that":[273],"our":[274],"outperform":[288],"other":[290],"baselines":[291]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}