{"id":"https://openalex.org/W4414538541","doi":"https://doi.org/10.1109/icc52391.2025.11161812","title":"Complex-Valued Convolutional Networks for Precise Positioning in NLoS Environment with Distributed MIMO","display_name":"Complex-Valued Convolutional Networks for Precise Positioning in NLoS Environment with Distributed MIMO","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414538541","doi":"https://doi.org/10.1109/icc52391.2025.11161812"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11161812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161812","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":"https://openalex.org/A5109576161","display_name":"Jung-Fu Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139236","display_name":"Ericsson (United States)","ror":"https://ror.org/03q3bdj78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210139236"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jung-Fu Thomas Cheng","raw_affiliation_strings":["Ericsson Research,Santa Clara,CA,USA"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Santa Clara,CA,USA","institution_ids":["https://openalex.org/I4210139236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013732146","display_name":"Atieh R. Khamesi","orcid":"https://orcid.org/0000-0003-3798-2223"},"institutions":[{"id":"https://openalex.org/I4210139236","display_name":"Ericsson (United States)","ror":"https://ror.org/03q3bdj78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210139236"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Atieh R. Khamesi","raw_affiliation_strings":["Ericsson Research,Santa Clara,CA,USA"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Santa Clara,CA,USA","institution_ids":["https://openalex.org/I4210139236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5119739759","display_name":"Erik Gudmundson","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161360","display_name":"Institute of Navigation","ror":"https://ror.org/05rmpy443","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210161360"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erik Gudmundson","raw_affiliation_strings":["SAL Navigation AB,Stockholm,Sweden"],"affiliations":[{"raw_affiliation_string":"SAL Navigation AB,Stockholm,Sweden","institution_ids":["https://openalex.org/I4210161360"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109576161"],"corresponding_institution_ids":["https://openalex.org/I4210139236"],"apc_list":null,"apc_paid":null,"fwci":1.6388,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86675901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2296","last_page":"2302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9560999870300293,"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":0.9560999870300293,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9484999775886536,"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/mimo","display_name":"MIMO","score":0.5881999731063843},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4909999966621399},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4684999883174896},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4569000005722046},{"id":"https://openalex.org/keywords/non-line-of-sight-propagation","display_name":"Non-line-of-sight propagation","score":0.4560999870300293},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4339999854564667},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4041000008583069},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.3783000111579895}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7684000134468079},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.5881999731063843},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4909999966621399},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4684999883174896},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4569000005722046},{"id":"https://openalex.org/C154910267","wikidata":"https://www.wikidata.org/wiki/Q1740982","display_name":"Non-line-of-sight propagation","level":3,"score":0.4560999870300293},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45329999923706055},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4339999854564667},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4041000008583069},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.3783000111579895},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3517000079154968},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.3513999879360199},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3425000011920929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3257000148296356},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.311599999666214},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.2791999876499176},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.267300009727478},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.26649999618530273},{"id":"https://openalex.org/C7720470","wikidata":"https://www.wikidata.org/wiki/Q954187","display_name":"Transceiver","level":3,"score":0.25600001215934753},{"id":"https://openalex.org/C165650700","wikidata":"https://www.wikidata.org/wiki/Q4636347","display_name":"3G MIMO","level":4,"score":0.2542000114917755},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11161812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161812","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2302255633","https://openalex.org/W2962996460","https://openalex.org/W3085645976","https://openalex.org/W4289654500","https://openalex.org/W4308655556","https://openalex.org/W4390782122","https://openalex.org/W4405103527"],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,16,50,149],"deep":[3],"neural":[4],"network":[5],"(NN)":[6],"models":[7],"have":[8],"made":[9],"them":[10],"promising":[11],"candidates":[12],"for":[13,30,47,90],"positioning":[14,49,136],"devices":[15],"environments":[17],"lacking":[18],"line-of-sight":[19],"(LoS)":[20],"links.":[21],"We":[22,54,93],"propose":[23,95],"several":[24],"novel":[25,70,88],"components":[26,89],"and":[27,87,110],"design":[28,55],"choices":[29],"complexvalued":[31],"NNs":[32],"(CVNNs)":[33],"to":[34,59,80,106,122],"process":[35],"signals":[36],"received":[37],"from":[38],"distributed":[39],"multiple":[40,42],"input":[41],"output":[43],"(MIMO)":[44],"wireless":[45],"systems":[46],"precise":[48],"non-LoS":[51],"(NLoS)":[52],"environments.":[53],"effective":[56,98],"preprocessing":[57],"solution":[58],"handle":[60],"the":[61,124,127,132,147],"wide":[62],"dynamic":[63],"range":[64],"of":[65,84,113,134,146],"radio":[66],"frequency":[67],"(RF)":[68],"data;":[69],"MIMO":[71],"RF":[72],"data":[73,103],"tokenization":[74],"approach":[75],"with":[76],"1D":[77],"convolutional":[78],"layers":[79],"enable":[81],"joint":[82],"processing":[83],"all":[85],"antennas;":[86],"CVNN":[91],"designs.":[92],"further":[94],"three":[96],"highly":[97],"<tex":[99],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[100],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathbf{R":[101],"F}$</tex>":[102],"augmentation":[104],"approaches":[105],"enhance":[107],"model":[108],"performance":[109],"reduce":[111],"needs":[112],"large":[114,151],"training":[115],"datasets.":[116],"Extensive":[117],"comparison/ablation":[118],"study":[119],"is":[120],"provided":[121],"support":[123],"proposals.":[125],"With":[126],"proposed":[128],"designs,":[129],"we":[130],"demonstrate":[131],"achievability":[133],"2D":[135],"error":[137],"less":[138],"than":[139,143],"0.21":[140],"m":[141],"more":[142],"90":[144],"%":[145],"time":[148],"a":[150],"NLoS":[152],"environment.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
