{"id":"https://openalex.org/W4402157153","doi":"https://doi.org/10.1109/icc51166.2024.10622313","title":"Neural Enhanced Variational Bayesian Inference on Graphs for Localized Statistical Channel Modeling","display_name":"Neural Enhanced Variational Bayesian Inference on Graphs for Localized Statistical Channel Modeling","publication_year":2024,"publication_date":"2024-06-09","ids":{"openalex":"https://openalex.org/W4402157153","doi":"https://doi.org/10.1109/icc51166.2024.10622313"},"language":"en","primary_location":{"id":"doi:10.1109/icc51166.2024.10622313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc51166.2024.10622313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","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/A5100659813","display_name":"Yiheng Wang","orcid":"https://orcid.org/0000-0002-5185-3551"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"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":"Yiheng Wang","raw_affiliation_strings":["Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong-Shenzhen,Guangdong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong-Shenzhen,Guangdong,China","institution_ids":["https://openalex.org/I4210099586","https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102025832","display_name":"Shutao Zhang","orcid":"https://orcid.org/0000-0003-4665-5443"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"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":"Shutao Zhang","raw_affiliation_strings":["Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong-Shenzhen,Guangdong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong-Shenzhen,Guangdong,China","institution_ids":["https://openalex.org/I4210099586","https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077991508","display_name":"Ye Xue","orcid":"https://orcid.org/0000-0001-9629-8996"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"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":"Ye Xue","raw_affiliation_strings":["Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong-Shenzhen,Guangdong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong-Shenzhen,Guangdong,China","institution_ids":["https://openalex.org/I4210099586","https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102306822","display_name":"Tianshu Yu","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":"Tianshu Yu","raw_affiliation_strings":["School of Data Science, The Chinese University of Hong Kong-Shenzhen,Guangdong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong-Shenzhen,Guangdong,China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059252324","display_name":"Qingjiang Shi","orcid":"https://orcid.org/0000-0003-0507-9080"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingjiang Shi","raw_affiliation_strings":["School of Software Engineering, Tongji University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Tongji University,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064271996","display_name":"Tsung\u2010Hui Chang","orcid":"https://orcid.org/0000-0003-1349-2764"},"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":"Tsung-Hui Chang","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong-Shenzhen,Guangdong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong-Shenzhen,Guangdong,China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"342","last_page":"347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9955999851226807,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9922000169754028,"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/computer-science","display_name":"Computer science","score":0.6433130502700806},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6190680861473083},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5914061665534973},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.5533124804496765},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5219687223434448},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5022835731506348},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4946129024028778},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.44544094800949097},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3598785400390625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3284137547016144},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21806207299232483},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12275922298431396},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09283122420310974}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6433130502700806},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6190680861473083},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5914061665534973},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.5533124804496765},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5219687223434448},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5022835731506348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4946129024028778},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.44544094800949097},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3598785400390625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3284137547016144},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21806207299232483},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12275922298431396},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09283122420310974}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc51166.2024.10622313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc51166.2024.10622313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5803679919","display_name":null,"funder_award_id":"62301334","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7719467863","display_name":null,"funder_award_id":"2023YFB2904804","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1643046983","https://openalex.org/W1987371344","https://openalex.org/W2000721204","https://openalex.org/W2071282831","https://openalex.org/W2136634080","https://openalex.org/W2777046509","https://openalex.org/W2963290405","https://openalex.org/W2975873504","https://openalex.org/W3006668132","https://openalex.org/W3133902371","https://openalex.org/W3147427779","https://openalex.org/W3167779900","https://openalex.org/W4221150253","https://openalex.org/W4288574671","https://openalex.org/W4309270034","https://openalex.org/W4372342478","https://openalex.org/W4379382365","https://openalex.org/W4381162639","https://openalex.org/W4391827352","https://openalex.org/W6759127422","https://openalex.org/W6762445188"],"related_works":["https://openalex.org/W137830373","https://openalex.org/W3000984192","https://openalex.org/W2103073163","https://openalex.org/W4286952477","https://openalex.org/W4321348134","https://openalex.org/W4387929287","https://openalex.org/W2372267530","https://openalex.org/W2795206833","https://openalex.org/W2969189870","https://openalex.org/W3183730129"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"innovative":[4],"graph":[5],"neural":[6],"network":[7],"(GNN)-based":[8],"approach":[9],"to":[10],"address":[11],"the":[12,20,34,39,60,64,89,97],"challenge":[13],"of":[14,22,92,99],"recovering":[15],"ill-conditioned":[16],"sparse":[17,107],"signals":[18],"within":[19],"task":[21],"multi-grid":[23,81,100],"localized":[24],"statistical":[25],"channel":[26,40],"modeling":[27],"(LSCM).":[28],"Our":[29],"proposed":[30],"GNN":[31],"architecture":[32],"captures":[33],"structural":[35],"sparsity":[36],"inherent":[37],"in":[38,63,96],"angular":[41],"power":[42,50],"spectrum":[43],"(APS)":[44],"by":[45],"leveraging":[46],"reference":[47],"signal":[48],"receiving":[49],"(RSRP)":[51],"measured":[52],"from":[53],"multiple":[54],"grids.":[55],"It":[56],"can":[57],"effectively":[58],"mitigate":[59],"severe":[61],"coherence":[62],"measurement":[65],"matrix.":[66],"Furthermore,":[67],"we":[68,87],"present":[69],"a":[70],"novel":[71],"online":[72],"unsupervised":[73],"training":[74],"scheme":[75],"that":[76],"enables":[77],"real-time":[78],"adaptability":[79],"for":[80],"LSCM":[82],"applications.":[83],"Through":[84],"extensive":[85],"simulations,":[86],"demonstrate":[88],"superior":[90],"performance":[91],"our":[93],"GNN-based":[94],"method":[95],"context":[98],"LSCM,":[101],"showcasing":[102],"its":[103],"advantages":[104],"over":[105],"existing":[106],"recovery":[108],"techniques.":[109]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}