{"id":"https://openalex.org/W7127737903","doi":"https://doi.org/10.1109/ccnc65079.2026.11366356","title":"Vision Transformer Based User Equipment Positioning","display_name":"Vision Transformer Based User Equipment Positioning","publication_year":2026,"publication_date":"2026-01-09","ids":{"openalex":"https://openalex.org/W7127737903","doi":"https://doi.org/10.1109/ccnc65079.2026.11366356"},"language":null,"primary_location":{"id":"doi:10.1109/ccnc65079.2026.11366356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc65079.2026.11366356","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC)","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/A5125064902","display_name":"Parshwa Shah","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Parshwa Shah","raw_affiliation_strings":["College of Computing and Informatics, University of North Carolina,Charlotte,NC,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing and Informatics, University of North Carolina,Charlotte,NC,USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101629691","display_name":"Dhaval K. Patel","orcid":"https://orcid.org/0000-0002-1350-4959"},"institutions":[{"id":"https://openalex.org/I114173286","display_name":"Gujarat University","ror":"https://ror.org/017f2w007","country_code":"IN","type":"education","lineage":["https://openalex.org/I114173286"]},{"id":"https://openalex.org/I52527943","display_name":"Ahmedabad University","ror":"https://ror.org/02swff503","country_code":"IN","type":"education","lineage":["https://openalex.org/I52527943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dhaval K. Patel","raw_affiliation_strings":["School of Engineering And Applied Sciences,Ahmedabad,Gujarat,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering And Applied Sciences,Ahmedabad,Gujarat,India","institution_ids":["https://openalex.org/I114173286","https://openalex.org/I52527943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021684266","display_name":"Brijesh Soni","orcid":"https://orcid.org/0000-0002-0362-5087"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brijesh Soni","raw_affiliation_strings":["The Ohio State University,Department of Computer Science and Engineering,Columbus,OH,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University,Department of Computer Science and Engineering,Columbus,OH,USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050222424","display_name":"Miguel L\u00f3pez\u2010Ben\u00edtez","orcid":"https://orcid.org/0000-0003-0526-6687"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Miguel L\u00f3pez-Ben\u00edtez","raw_affiliation_strings":["School of Computer Science and Informatics, University of Liverpool,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Informatics, University of Liverpool,United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074124992","display_name":"Siddhartan Govindasamy","orcid":"https://orcid.org/0000-0002-0150-9357"},"institutions":[{"id":"https://openalex.org/I103531236","display_name":"Boston College","ror":"https://ror.org/02n2fzt79","country_code":"US","type":"education","lineage":["https://openalex.org/I103531236"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siddhartan Govindasamy","raw_affiliation_strings":["Boston College,Department of Engineering,Chestnut Hill,MA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boston College,Department of Engineering,Chestnut Hill,MA,USA","institution_ids":["https://openalex.org/I103531236"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.8909000158309937,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.8909000158309937,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.016699999570846558,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.013299999758601189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/transformer","display_name":"Transformer","score":0.5012000203132629},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4449999928474426},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.40459999442100525},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4016000032424927},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.37540000677108765},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.37139999866485596},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3637000024318695}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6104000210762024},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5012000203132629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47519999742507935},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45579999685287476},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4449999928474426},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4374000132083893},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.40459999442100525},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4016000032424927},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.37540000677108765},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.37139999866485596},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3637000024318695},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3578000068664551},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.353300005197525},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3370000123977661},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.32089999318122864},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C117323899","wikidata":"https://www.wikidata.org/wiki/Q1907989","display_name":"Distribution transformer","level":4,"score":0.29919999837875366},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.2842000126838684},{"id":"https://openalex.org/C2985963534","wikidata":"https://www.wikidata.org/wiki/Q7603704","display_name":"State information","level":3,"score":0.2840000092983246},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.27079999446868896}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccnc65079.2026.11366356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc65079.2026.11366356","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC)","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":8,"referenced_works":["https://openalex.org/W2031352156","https://openalex.org/W2189661557","https://openalex.org/W2971911836","https://openalex.org/W3039683021","https://openalex.org/W4226089755","https://openalex.org/W4283369336","https://openalex.org/W4321488448","https://openalex.org/W4401070011"],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"Deep":[1],"Learning":[2],"(DL)":[3],"techniques":[4],"have":[5,122],"been":[6],"used":[7],"for":[8,38],"User":[9],"Equipment":[10],"(UE)":[11],"positioning.":[12],"However,":[13],"the":[14,25,29,65,77,127],"key":[15],"shortcomings":[16],"of":[17,89,126,129],"such":[18],"models":[19],"is":[20,49],"that:":[21],"i)":[22],"they":[23,33],"weigh":[24],"same":[26],"attention":[27],"to":[28],"entire":[30],"input;":[31],"ii)":[32],"are":[34],"not":[35],"well":[36],"suited":[37],"non-sequential":[39],"data,":[40],"e.g.,":[41],"when":[42],"only":[43],"instantaneous":[44],"Channel":[45],"State":[46],"Information":[47],"(CSI)":[48],"available.":[50],"In":[51],"this":[52],"context,":[53],"we":[54,121],"propose":[55],"an":[56],"attention-based":[57],"Vision":[58],"Transformer":[59],"(ViT)":[60],"architecture":[61],"that":[62,120],"focuses":[63],"on":[64,76],"Angle":[66],"Delay":[67],"Profile":[68],"(ADP)":[69],"from":[70],"CSI":[71],"matrix.":[72],"Our":[73],"approach,":[74],"validated":[75],"\u2018DeepMIMO\u2019":[78],"and":[79,96],"\u2018ViWi\u2019":[80],"ray-tracing":[81],"datasets,":[82],"achieves":[83],"Root":[84],"Mean":[85],"Squared":[86],"Error":[87],"(RMSE)":[88],"0.55m":[90],"indoors,":[91],"13.59m":[92],"outdoors":[93],"in":[94,98,124],"DeepMIMO,":[95],"3.45m":[97],"ViWi\u2019s":[99],"outdoor":[100],"blockage":[101],"scenario.":[102],"The":[103],"proposed":[104],"scheme":[105],"outperforms":[106],"state-of-the-art":[107],"schemes":[108],"by":[109],"\u223c":[110],"38%.":[111],"It":[112],"also":[113],"performs":[114],"substantially":[115],"better":[116],"than":[117],"other":[118],"approaches":[119],"considered":[123],"terms":[125],"distribution":[128],"error":[130],"distance.":[131]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-02-06T00:00:00"}