{"id":"https://openalex.org/W7138895556","doi":"https://doi.org/10.1109/globecom59602.2025.11432712","title":"RadioVAE: Generating Probabilistic Radio Map via Variational Autoencoder with UNet","display_name":"RadioVAE: Generating Probabilistic Radio Map via Variational Autoencoder with UNet","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W7138895556","doi":"https://doi.org/10.1109/globecom59602.2025.11432712"},"language":null,"primary_location":{"id":"doi:10.1109/globecom59602.2025.11432712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom59602.2025.11432712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2025 - 2025 IEEE Global Communications Conference","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/A5064098571","display_name":"Pan Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Yang","raw_affiliation_strings":["Central South University (CSU),School of Mathematics and Statistics,Changsha,China,410083"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University (CSU),School of Mathematics and Statistics,Changsha,China,410083","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331347","display_name":"Nan Zhang","orcid":"https://orcid.org/0009-0002-5501-6299"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Zhang","raw_affiliation_strings":["Central South University (CSU),School of Mathematics and Statistics,Changsha,China,410083"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University (CSU),School of Mathematics and Statistics,Changsha,China,410083","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zezhong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zezhong Zhang","raw_affiliation_strings":["The Chinese University of Hong Kong at Shenzhen,School of Science and Engineering (SSE), the Shenzhen Future Network of Intelligence Institute (FNii-Shenzhen), and the Guangdong Provincial Key Laboratory of Future Networks of Intelligence,Shenzhen,China,518172"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong at Shenzhen,School of Science and Engineering (SSE), the Shenzhen Future Network of Intelligence Institute (FNii-Shenzhen), and the Guangdong Provincial Key Laboratory of Future Networks of Intelligence,Shenzhen,China,518172","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130029932","display_name":"Junting Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junting Chen","raw_affiliation_strings":["The Chinese University of Hong Kong at Shenzhen,School of Science and Engineering (SSE), the Shenzhen Future Network of Intelligence Institute (FNii-Shenzhen), and the Guangdong Provincial Key Laboratory of Future Networks of Intelligence,Shenzhen,China,518172"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong at Shenzhen,School of Science and Engineering (SSE), the Shenzhen Future Network of Intelligence Institute (FNii-Shenzhen), and the Guangdong Provincial Key Laboratory of Future Networks of Intelligence,Shenzhen,China,518172","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129982460","display_name":"Kai Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Chen","raw_affiliation_strings":["Central South University (CSU),School of Mathematics and Statistics,Changsha,China,410083"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University (CSU),School of Mathematics and Statistics,Changsha,China,410083","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130011197","display_name":"Shuguang Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuguang Cui","raw_affiliation_strings":["The Chinese University of Hong Kong at Shenzhen,School of Science and Engineering (SSE), the Shenzhen Future Network of Intelligence Institute (FNii-Shenzhen), and the Guangdong Provincial Key Laboratory of Future Networks of Intelligence,Shenzhen,China,518172"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong at Shenzhen,School of Science and Engineering (SSE), the Shenzhen Future Network of Intelligence Institute (FNii-Shenzhen), and the Guangdong Provincial Key Laboratory of Future Networks of Intelligence,Shenzhen,China,518172","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"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":0.59690629,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.7006999850273132,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.7006999850273132,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.03840000182390213,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.03779999911785126,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7976999878883362},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6772000193595886},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.614300012588501},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.5062999725341797},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.46459999680519104},{"id":"https://openalex.org/keywords/radio-propagation","display_name":"Radio propagation","score":0.46320000290870667},{"id":"https://openalex.org/keywords/radio-propagation-model","display_name":"Radio propagation model","score":0.4129999876022339},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4058000147342682},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3716000020503998}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7976999878883362},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6772000193595886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6152999997138977},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.614300012588501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.506600022315979},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.5062999725341797},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.46459999680519104},{"id":"https://openalex.org/C202311505","wikidata":"https://www.wikidata.org/wiki/Q1474701","display_name":"Radio propagation","level":2,"score":0.46320000290870667},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41999998688697815},{"id":"https://openalex.org/C76843793","wikidata":"https://www.wikidata.org/wiki/Q1474701","display_name":"Radio propagation model","level":3,"score":0.4129999876022339},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4058000147342682},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3716000020503998},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3547999858856201},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.34439998865127563},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3346000015735626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3257000148296356},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.32170000672340393},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.310699999332428},{"id":"https://openalex.org/C2779363554","wikidata":"https://www.wikidata.org/wiki/Q5420835","display_name":"Expectation propagation","level":4,"score":0.3077999949455261},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.3066999912261963},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27320000529289246},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.25690001249313354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom59602.2025.11432712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom59602.2025.11432712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2025 - 2025 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8290865421295166}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W3090615085","https://openalex.org/W3131967102","https://openalex.org/W3162789749","https://openalex.org/W4313120528","https://openalex.org/W4315605953","https://openalex.org/W4319990023","https://openalex.org/W4387870454","https://openalex.org/W4391697040","https://openalex.org/W4391828782","https://openalex.org/W4392159284","https://openalex.org/W4401509264","https://openalex.org/W4409278252"],"related_works":[],"abstract_inverted_index":{"Radio":[0],"environment":[1],"mapping":[2],"in":[3,124,132],"urban":[4,21,70,102,134],"scenarios":[5],"presents":[6],"significant":[7],"challenges":[8],"due":[9],"to":[10,108],"the":[11,46,62],"complex":[12,111,137],"interplay":[13],"of":[14,49,65,82],"multipath":[15],"propagation,":[16],"shadowing":[17],"effects,":[18],"and":[19,72,87,105,128],"heterogeneous":[20],"morphology.":[22],"We":[23],"present":[24],"RadioVAE,":[25],"a":[26,39,55],"novel":[27],"probabilistic":[28],"framework":[29],"that":[30,59,117],"generates":[31],"high-fidelity":[32],"radio":[33],"maps":[34],"with":[35,136],"uncertainty":[36,129],"quantification":[37],"through":[38],"Variational":[40],"Autoencoder":[41],"(VAE).":[42],"The":[43,98],"model":[44],"addresses":[45],"critical":[47],"limitations":[48],"deterministic":[50,122],"neural":[51],"networks":[52],"by":[53],"learning":[54],"structured":[56],"latent":[57],"space":[58],"explicitly":[60],"encodes":[61],"posterior":[63],"distribution":[64],"propagation":[66,89,112],"features":[67],"conditioned":[68],"on":[69],"topology":[71],"transmitter":[73,106],"characteristics.":[74],"A":[75],"UNet-based":[76],"feature":[77],"extractor":[78],"enables":[79],"simultaneous":[80],"modeling":[81],"both":[83,125],"fine-scale":[84],"spatial":[85,138],"variations":[86],"city-wide":[88],"patterns,":[90],"while":[91],"KL-divergence":[92],"regularization":[93],"ensures":[94],"physically":[95],"plausible":[96],"predictions.":[97],"generative":[99],"process":[100],"incorporates":[101],"morphological":[103],"constraints":[104],"parameters":[107],"accurately":[109],"reconstruct":[110],"fields.":[113],"Experimental":[114],"results":[115],"demonstrate":[116],"RadioVAE":[118],"significantly":[119],"outperforms":[120],"existing":[121],"methods":[123],"prediction":[126],"accuracy":[127],"calibration,":[130],"particularly":[131],"challenging":[133],"environments":[135],"correlations.":[139]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-20T00:00:00"}