{"id":"https://openalex.org/W4416650103","doi":"https://doi.org/10.1109/tcomm.2025.3637041","title":"Meta-SimGNN: Adaptive and Robust WiFi Localization Across Dynamic Configurations and Diverse Scenarios","display_name":"Meta-SimGNN: Adaptive and Robust WiFi Localization Across Dynamic Configurations and Diverse Scenarios","publication_year":2025,"publication_date":"2025-11-25","ids":{"openalex":"https://openalex.org/W4416650103","doi":"https://doi.org/10.1109/tcomm.2025.3637041"},"language":null,"primary_location":{"id":"doi:10.1109/tcomm.2025.3637041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2025.3637041","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications","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/A5041227881","display_name":"Qiqi Xiao","orcid":"https://orcid.org/0000-0002-2637-2684"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiqi Xiao","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086396214","display_name":"Ziqi Ye","orcid":"https://orcid.org/0009-0003-9440-2325"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqi Ye","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038230803","display_name":"Yinghui He","orcid":"https://orcid.org/0000-0002-5560-1327"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghui He","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425087","display_name":"Jianwei Liu","orcid":"https://orcid.org/0000-0001-9003-8667"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Liu","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079187892","display_name":"Guanding Yu","orcid":"https://orcid.org/0000-0003-1354-2557"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanding Yu","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041227881"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38822022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":null,"first_page":"1732","last_page":"1746"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.920199990272522,"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":0.920199990272522,"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":0.01720000058412552,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.007400000002235174,"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/adaptability","display_name":"Adaptability","score":0.8245999813079834},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5121999979019165},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.499099999666214},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.48899999260902405},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4632999897003174},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.444599986076355},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.41839998960494995},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41659998893737793},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.358599990606308}],"concepts":[{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.8245999813079834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7246999740600586},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5121999979019165},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.499099999666214},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.48899999260902405},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4632999897003174},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.444599986076355},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.41839998960494995},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41659998893737793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.414900004863739},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40290001034736633},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.358599990606308},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34450000524520874},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3319999873638153},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3183000087738037},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3109999895095825},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.28439998626708984},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2757999897003174},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcomm.2025.3637041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2025.3637041","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1989876652","https://openalex.org/W2109255472","https://openalex.org/W2113638573","https://openalex.org/W2161663128","https://openalex.org/W2170240475","https://openalex.org/W2240192984","https://openalex.org/W2313528934","https://openalex.org/W2344494366","https://openalex.org/W2517871893","https://openalex.org/W2753857670","https://openalex.org/W2753866421","https://openalex.org/W2790167672","https://openalex.org/W2832604869","https://openalex.org/W2865103122","https://openalex.org/W2890784233","https://openalex.org/W2907492528","https://openalex.org/W2944250323","https://openalex.org/W2953529749","https://openalex.org/W2954371167","https://openalex.org/W2964029185","https://openalex.org/W2975894920","https://openalex.org/W2981587265","https://openalex.org/W2982519817","https://openalex.org/W2984128863","https://openalex.org/W3001909141","https://openalex.org/W3015570924","https://openalex.org/W3021789920","https://openalex.org/W3047491762","https://openalex.org/W3084212472","https://openalex.org/W3108914020","https://openalex.org/W3160247247","https://openalex.org/W3162881616","https://openalex.org/W3168997536","https://openalex.org/W3194370845","https://openalex.org/W3210411944","https://openalex.org/W4200618861","https://openalex.org/W4226026671","https://openalex.org/W4235628085","https://openalex.org/W4312450256","https://openalex.org/W4319990546","https://openalex.org/W4324291694","https://openalex.org/W4360612534","https://openalex.org/W4387449321","https://openalex.org/W4387870900","https://openalex.org/W4390120147","https://openalex.org/W4392158151","https://openalex.org/W4392158348","https://openalex.org/W4392940098","https://openalex.org/W4399619613","https://openalex.org/W4399801128","https://openalex.org/W4400727577","https://openalex.org/W4404789020","https://openalex.org/W4406457745","https://openalex.org/W4412871812"],"related_works":[],"abstract_inverted_index":{"To":[0,74,126],"promote":[1],"the":[2,13,32,42,49,62,122,128,159,170,192,199,202,212,215,233],"practicality":[3],"of":[4,15,34,44,51,64,124,130,172,211,238],"deep":[5],"learning-based":[6],"localization,":[7],"existing":[8],"studies":[9,22],"aim":[10],"to":[11,92,119,151,164,181,214],"address":[12,75,165],"issue":[14],"scenario":[16,204],"dependence":[17],"through":[18],"meta-learning.":[19],"However,":[20],"these":[21],"primarily":[23],"focus":[24],"on":[25],"variations":[26,57,166],"in":[27,36,58,121,167,184,226,236],"environmental":[28,55],"layouts":[29],"while":[30,158],"overlooking":[31],"impact":[33],"changes":[35,120],"device":[37,59],"configurations,":[38],"such":[39],"as":[40,112],"bandwidth,":[41],"number":[43,50,123,171],"access":[45],"points":[46],"(APs),":[47],"and":[48,96,139,149,169,205,241],"antennas":[52],"used.":[53],"Unlike":[54],"changes,":[56],"configurations":[60],"affect":[61],"dimensionality":[63],"channel":[65],"state":[66],"information":[67],"(CSI),":[68],"thereby":[69],"compromising":[70],"neural":[71,88],"network":[72],"usability.":[73],"this":[76],"issue,":[77],"we":[78,99,133],"propose":[79,134],"Meta-SimGNN,":[80],"a":[81,101,113,140,175],"novelWiFi":[82],"localization":[83,94,217,239],"system":[84],"that":[85,230],"integrates":[86],"graph":[87,104,114],"networks":[89],"with":[90],"meta-learning":[91,177],"improve":[93],"generalization":[95,240],"robustness.":[97],"First,":[98],"introduce":[100],"fine-grained":[102],"CSI":[103,153],"construction":[105],"scheme,":[106],"where":[107],"each":[108,131],"AP":[109],"is":[110,179],"treated":[111],"node,":[115,132],"allowing":[116],"for":[117,191],"adaptability":[118,183],"APs.":[125],"structure":[127],"features":[129,163],"an":[135],"amplitude-phase":[136],"fusion":[137],"method":[138],"feature":[141],"extraction":[142],"method.":[143],"The":[144,187],"former":[145],"utilizes":[146],"both":[147],"amplitude":[148],"phase":[150],"construct":[152],"images,":[154],"enhancing":[155],"data":[156],"reliability,":[157],"latter":[160],"extracts":[161],"dimension-consistent":[162],"bandwidth":[168],"antennas.":[173],"Second,":[174],"similarity-guided":[176],"strategy":[178],"developed":[180],"enhance":[182],"diverse":[185],"scenarios.":[186],"initial":[188],"model":[189,213],"parameters":[190],"fine-tuning":[193],"stage":[194],"are":[195],"determined":[196],"by":[197],"comparing":[198],"similarity":[200],"between":[201],"new":[203,216],"historical":[206],"scenarios,":[207],"facilitating":[208],"rapid":[209],"adaptation":[210],"scenario.":[218],"Extensive":[219],"experimental":[220],"results":[221],"over":[222],"commodity":[223],"WiFi":[224],"devices":[225],"different":[227],"scenarios":[228],"show":[229],"Meta-SimGNN":[231],"outperforms":[232],"baseline":[234],"methods":[235],"terms":[237],"accuracy.":[242]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-25T00:00:00"}
