{"id":"https://openalex.org/W7202360102","doi":"https://doi.org/10.1109/meditcom67211.2026.11641129","title":"A Hybrid CNN-Transformer Framework for Precise Indoor Positioning in 6G Networks","display_name":"A Hybrid CNN-Transformer Framework for Precise Indoor Positioning in 6G Networks","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7202360102","doi":"https://doi.org/10.1109/meditcom67211.2026.11641129"},"language":"en","primary_location":{"id":"doi:10.1109/meditcom67211.2026.11641129","doi":"https://doi.org/10.1109/meditcom67211.2026.11641129","is_oa":true,"landing_page_url":"https://doi.org/10.1109/meditcom67211.2026.11641129","pdf_url":null,"source":{"id":"https://openalex.org/S7407088078","display_name":"IEEE International Mediterranean Conference on Communications and Networking (MeditCom)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/meditcom67211.2026.11641129","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5147116533","display_name":"Shubham K. Kukadiya","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shubham K. Kukadiya","raw_affiliation_strings":["School of Technology, Dhirubhai Ambani University (Formerly DAIICT)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Technology, Dhirubhai Ambani University (Formerly DAIICT)","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101948676","display_name":"Vikram Singh","orcid":"https://orcid.org/0000-0002-2621-2912","observed_orcids":["https://orcid.org/0000-0002-2621-2912"]},"institutions":[{"id":"https://openalex.org/I4210095456","display_name":"Tejas Networks (India)","ror":"https://ror.org/00wrset74","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210095456"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vikram Singh","raw_affiliation_strings":["Tejas Networks"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tejas Networks","institution_ids":["https://openalex.org/I4210095456"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5141086279","display_name":"Abhishek Jindal","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhishek Jindal","raw_affiliation_strings":["School of Technology, Dhirubhai Ambani University (Formerly DAIICT)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Technology, Dhirubhai Ambani University (Formerly DAIICT)","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5141090029","display_name":"Manish Kumar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manish Kumar","raw_affiliation_strings":["School of Technology, Dhirubhai Ambani University (Formerly DAIICT)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Technology, Dhirubhai Ambani University (Formerly DAIICT)","institution_ids":["https://openalex.org/I98389781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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":1.0,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.0,"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/T10655","display_name":"GNSS positioning and interference","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/indoor-positioning","display_name":"indoor positioning","score":0.8539999723434448},{"id":"https://openalex.org/keywords/6g-networks","display_name":"6G","score":0.9649999737739563},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"channel state information","score":0.8149999976158142},{"id":"https://openalex.org/keywords/channel-impulse-response","display_name":"channel impulse response","score":0.8379999995231628},{"id":"https://openalex.org/keywords/non-line-of-sight","display_name":"non-line-of-sight","score":0.8500000238418579},{"id":"https://openalex.org/keywords/transformer-encoder","display_name":"Transformer encoder","score":0.7850000262260437},{"id":"https://openalex.org/keywords/1d-convolutional-neural-network","display_name":"1D convolutional neural network","score":0.9049999713897705},{"id":"https://openalex.org/keywords/reference-signal-received-power","display_name":"RSRP","score":0.9269999861717224},{"id":"https://openalex.org/keywords/industry-4-0","display_name":"Industry 4.0","score":0.843999981880188},{"id":"https://openalex.org/keywords/industrial-localization","display_name":"industrial localization","score":0.3720000088214874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5708000063896179},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.329800009727478},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.31299999356269836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29249998927116394},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2720000147819519},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.25200000405311584},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.24570000171661377},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.24369999766349792},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.24120000004768372}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/meditcom67211.2026.11641129","doi":"https://doi.org/10.1109/meditcom67211.2026.11641129","is_oa":true,"landing_page_url":"https://doi.org/10.1109/meditcom67211.2026.11641129","pdf_url":null,"source":{"id":"https://openalex.org/S7407088078","display_name":"IEEE International Mediterranean Conference on Communications and Networking (MeditCom)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/meditcom67211.2026.11641129","doi":"https://doi.org/10.1109/meditcom67211.2026.11641129","is_oa":true,"landing_page_url":"https://doi.org/10.1109/meditcom67211.2026.11641129","pdf_url":null,"source":{"id":"https://openalex.org/S7407088078","display_name":"IEEE International Mediterranean Conference on Communications and Networking (MeditCom)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":1.0,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2147408679","https://openalex.org/W2626778328","https://openalex.org/W3126953370","https://openalex.org/W4210901908","https://openalex.org/W4283369336","https://openalex.org/W4392902299","https://openalex.org/W4392939741","https://openalex.org/W4395679709","https://openalex.org/W4406417768","https://openalex.org/W4414153636","https://openalex.org/W4414538541","https://openalex.org/W4417045488"],"related_works":["https://openalex.org/W7169776357","https://openalex.org/W7168275294","https://openalex.org/W3028688887","https://openalex.org/W7167674457","https://openalex.org/W7168296546","https://openalex.org/W7125600474","https://openalex.org/W7167235709","https://openalex.org/W2608474088","https://openalex.org/W7168239192","https://openalex.org/W7172255055"],"abstract_inverted_index":{"Precise":[0],"indoor":[1,35],"localization":[2],"in":[3],"dense":[4],"industrial":[5],"environments":[6],"remains":[7],"a":[8,27,51,68,97,118,125],"formidable":[9],"challenge":[10],"due":[11],"to":[12],"severe":[13],"NonLine-of-Sight":[14],"(NLoS)":[15],"propagation,":[16],"which":[17],"degrades":[18],"traditional":[19],"geometric":[20],"estimation":[21],"methods.":[22],"This":[23],"paper":[24],"presents":[25],"FusionLoc,":[26],"robust":[28],"deep":[29],"learning":[30],"framework":[31],"for":[32,58,138],"direct":[33],"6G":[34],"positioning":[36],"using":[37],"distributed":[38,93],"Channel":[39,63],"State":[40],"Information":[41],"(CSI)":[42],"from":[43,61,84],"multiple":[44],"Base":[45],"Stations":[46],"(BSs).":[47],"Our":[48],"approach":[49],"synergizes":[50],"lightweight":[52],"onedimensional":[53],"Convolutional":[54],"Neural":[55],"Network":[56],"(1D-CNN)":[57],"feature":[59],"extraction":[60],"complex":[62],"Impulse":[64],"Responses":[65],"(CIRs)":[66],"with":[67],"geometry-aware":[69],"transformer":[70],"encoder":[71],"that":[72],"fuses":[73],"multi-modal":[74],"measurements-CIR,":[75],"Reference":[76],"Signal":[77],"Received":[78],"Power":[79],"(RSRP)":[80],"and":[81,95,124,134],"spatial":[82],"context":[83],"BS":[85,113],"coordinates.":[86],"By":[87],"explicitly":[88],"modeling":[89],"global":[90],"dependencies":[91],"between":[92],"BSs":[94],"employing":[96],"tail-aware":[98],"training":[99],"strategy,":[100],"FusionLoc":[101],"achieves":[102],"state-of-the-art":[103],"accuracy":[104],"on":[105],"the":[106],"standard":[107],"3GPP":[108],"Indoor":[109],"Factory-Dense":[110],"Clutter,":[111],"High":[112],"(InF-DH)":[114],"benchmark.":[115],"We":[116],"report":[117],"test-set":[119],"RMSE":[120],"of":[121,128],"0.085":[122],"m":[123],"90th":[126],"percentile$(P_{90})$error":[127],"0.129":[129],"m,":[130],"demonstrating":[131],"decimeter-level":[132],"precision":[133],"sub-meter":[135],"reliability":[136],"essential":[137],"safety-critical":[139],"Industry":[140],"4.0":[141],"applications.":[142]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-08-14T00:00:00"}
