{"id":"https://openalex.org/W7084129215","doi":"https://doi.org/10.1109/icc52391.2025.11161369","title":"A Novel Lightweight Deep-Learning Offloading Scheme for Try-On in 5G-Edge Network","display_name":"A Novel Lightweight Deep-Learning Offloading Scheme for Try-On in 5G-Edge Network","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W7084129215","doi":"https://doi.org/10.1109/icc52391.2025.11161369"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11161369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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":null,"display_name":"Hamza Kchok","orcid":null},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I195731000","display_name":"Universit\u00e9 de Versailles Saint-Quentin-en-Yvelines","ror":"https://ror.org/03mkjjy25","country_code":"FR","type":"education","lineage":["https://openalex.org/I195731000","https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Hamza Kchok","raw_affiliation_strings":["Universités Paris-Saclay, UVSQ, DAVID,Versailles,France,F-78035"],"affiliations":[{"raw_affiliation_string":"Universités Paris-Saclay, UVSQ, DAVID,Versailles,France,F-78035","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I195731000"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ilhem Fajjari","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ilhem Fajjari","raw_affiliation_strings":["Orange Innovation,Châtillon,France,F-92320"],"affiliations":[{"raw_affiliation_string":"Orange Innovation,Châtillon,France,F-92320","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Faten Chaieb","orcid":null},"institutions":[{"id":"https://openalex.org/I117841876","display_name":"Universit\u00e9 Paris-Panth\u00e9on-Assas","ror":"https://ror.org/04qb2qm38","country_code":"FR","type":"education","lineage":["https://openalex.org/I117841876"]},{"id":"https://openalex.org/I2801479458","display_name":"Engineering School of Information and Digital Technologies","ror":"https://ror.org/01h7hvj14","country_code":"FR","type":"education","lineage":["https://openalex.org/I117841876","https://openalex.org/I2801479458"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Faten Chaieb","raw_affiliation_strings":["Paris-Panthéon-Assas Université,EFREI Research Lab,Villejuif,France,F-94800"],"affiliations":[{"raw_affiliation_string":"Paris-Panthéon-Assas Université,EFREI Research Lab,Villejuif,France,F-94800","institution_ids":["https://openalex.org/I117841876","https://openalex.org/I2801479458"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nadjib Aitsaadi","orcid":null},"institutions":[{"id":"https://openalex.org/I195731000","display_name":"Universit\u00e9 de Versailles Saint-Quentin-en-Yvelines","ror":"https://ror.org/03mkjjy25","country_code":"FR","type":"education","lineage":["https://openalex.org/I195731000","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nadjib Aitsaadi","raw_affiliation_strings":["Universités Paris-Saclay, UVSQ, DAVID,Versailles,France,F-78035"],"affiliations":[{"raw_affiliation_string":"Universités Paris-Saclay, UVSQ, DAVID,Versailles,France,F-78035","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I195731000"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mourad Gueroui","orcid":null},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I195731000","display_name":"Universit\u00e9 de Versailles Saint-Quentin-en-Yvelines","ror":"https://ror.org/03mkjjy25","country_code":"FR","type":"education","lineage":["https://openalex.org/I195731000","https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mourad Gueroui","raw_affiliation_strings":["Universités Paris-Saclay, UVSQ, DAVID,Versailles,France,F-78035"],"affiliations":[{"raw_affiliation_string":"Universités Paris-Saclay, UVSQ, DAVID,Versailles,France,F-78035","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I195731000"]}]},{"author_position":"last","author":{"id":null,"display_name":"Richard Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["BD","CN"],"is_corresponding":false,"raw_author_name":"Richard Li","raw_affiliation_strings":["Southeast University,School of Computer Science and Engineering,Nanjing,China,C-211189"],"affiliations":[{"raw_affiliation_string":"Southeast University,School of Computer Science and Engineering,Nanjing,China,C-211189","institution_ids":["https://openalex.org/I76569877","https://openalex.org/I4210090971"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I195731000","https://openalex.org/I277688954"],"apc_list":null,"apc_paid":null,"fwci":0.3752,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65146257,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1494","last_page":"1499"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12639","display_name":"Global Energy and Sustainability Research","score":0.12049999833106995,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12639","display_name":"Global Energy and Sustainability Research","score":0.12049999833106995,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14224","display_name":"Oil, Gas, and Environmental Issues","score":0.05829999968409538,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.03909999877214432,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/software-deployment","display_name":"Software deployment","score":0.6480000019073486},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6108999848365784},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.588699996471405},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5307999849319458},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5169000029563904},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.46219998598098755},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.45669999718666077},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4194999933242798},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.3946000039577484}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7953000068664551},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6480000019073486},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6108999848365784},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.588699996471405},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5307999849319458},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5169000029563904},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.46219998598098755},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.45669999718666077},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43860000371932983},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4194999933242798},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3946000039577484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3831000030040741},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3783999979496002},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.37059998512268066},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.36660000681877136},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.36169999837875366},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35190001130104065},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3467000126838684},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3425000011920929},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.33889999985694885},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.3280999958515167},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.323199987411499},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.3179999887943268},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C2988105877","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference system","level":5,"score":0.3052999973297119},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.30480000376701355},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.30079999566078186},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.2858000099658966},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2662000060081482},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25609999895095825}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icc52391.2025.11161369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05291497v1","is_oa":false,"landing_page_url":"https://hal.science/hal-05291497","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications, Jun 2025, Montreal, France. pp.1494-1499, ⟨10.1109/ICC52391.2025.11161369⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2402144811","https://openalex.org/W2971544482","https://openalex.org/W3098684994","https://openalex.org/W3122583958","https://openalex.org/W3165419792","https://openalex.org/W3184606595","https://openalex.org/W3194931126","https://openalex.org/W3206276912","https://openalex.org/W4206484811","https://openalex.org/W4283756211","https://openalex.org/W4361732920","https://openalex.org/W4392016246","https://openalex.org/W4402726978"],"related_works":[],"abstract_inverted_index":{"The":[0,39],"integration":[1],"of":[2,71,128],"Metaverse":[3],"technology":[4],"with":[5],"Virtual":[6],"Try-On":[7],"(VTO)":[8],"systems":[9],"is":[10,79],"revolutionizing":[11],"the":[12,57,68,73,80,85,126,129,134,140,154],"retail":[13],"industry":[14],"by":[15],"offering":[16],"immersive":[17,146],"shopping":[18,156],"experiences.":[19],"This":[20,137],"paper":[21],"introduces":[22],"Edge-VR4Fit,":[23],"a":[24],"novel":[25],"end-to-end":[26],"architecture":[27],"for":[28,33,142],"realtime":[29],"ring":[30],"VTO":[31,59,86,147],"designed":[32],"deployment":[34],"on":[35,106],"5G":[36],"edge":[37,43,107,151],"devices.":[38,108],"proposed":[40,130],"solution":[41],"leverages":[42],"computing":[44],"to":[45,102,133],"offload":[46],"computational":[47],"tasks":[48],"from":[49],"user":[50],"equipment,":[51],"thereby":[52],"reducing":[53],"latency":[54],"and":[55,99,120,145,158],"improving":[56],"real-time":[58],"result":[60],"fluidity":[61],"through":[62],"higher":[63],"frame":[64],"rates.":[65,162],"We":[66,88],"address":[67],"primary":[69],"challenge":[70],"optimizing":[72],"3D":[74],"hand":[75],"reconstruction":[76],"block,":[77],"which":[78],"most":[81],"timeconsuming":[82],"component":[83],"in":[84,114,149],"pipeline.":[87],"explore":[89],"various":[90],"deep":[91],"learning":[92],"optimization":[93],"techniques,":[94],"including":[95],"quantization,":[96],"compilation":[97],"optimization,":[98],"inference":[100,115],"enhancement,":[101],"improve":[103],"model":[104],"performance":[105],"Experimental":[109],"results":[110],"demonstrate":[111],"significant":[112],"improvements":[113],"speed,":[116],"GPU":[117],"memory":[118],"usage,":[119],"storage":[121],"efficiency.":[122],"These":[123],"enhancements":[124],"validate":[125],"effectiveness":[127],"optimizations":[131],"compared":[132],"baseline":[135],"setup.":[136],"work":[138],"paves":[139],"way":[141],"more":[143],"efficient":[144],"applications":[148],"5G-enabled":[150],"environments,":[152],"enhancing":[153],"online":[155],"experience":[157],"increasing":[159],"sales":[160],"conversion":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}