{"id":"https://openalex.org/W7117325399","doi":"https://doi.org/10.1109/jsac.2025.3648954","title":"Generative Diffusion-Based Bayesian Modeling for Universal Channel Estimation","display_name":"Generative Diffusion-Based Bayesian Modeling for Universal Channel Estimation","publication_year":2025,"publication_date":"2025-12-26","ids":{"openalex":"https://openalex.org/W7117325399","doi":"https://doi.org/10.1109/jsac.2025.3648954"},"language":null,"primary_location":{"id":"doi:10.1109/jsac.2025.3648954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2025.3648954","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Journal on Selected Areas in 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/A5016381443","display_name":"Runhua Li","orcid":"https://orcid.org/0000-0002-2173-1430"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runhua Li","raw_affiliation_strings":["School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-2173-1430","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121338493","display_name":"Jian Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Sun","raw_affiliation_strings":["School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-7206-0641","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121348316","display_name":"Jiang Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Xue","raw_affiliation_strings":["School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-6688-0256","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.48539926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"44","issue":null,"first_page":"3104","last_page":"3119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.5239999890327454,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.5239999890327454,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.3296000063419342,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.047200001776218414,"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/channel","display_name":"Channel (broadcasting)","score":0.7281000018119812},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.46470001339912415},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.3853999972343445},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.36230000853538513},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.35580000281333923},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.34940001368522644},{"id":"https://openalex.org/keywords/conditional-probability-distribution","display_name":"Conditional probability distribution","score":0.335999995470047}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8392000198364258},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.7281000018119812},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.46470001339912415},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4375999867916107},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.3853999972343445},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.36230000853538513},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.35580000281333923},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3515999913215637},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.34940001368522644},{"id":"https://openalex.org/C43555835","wikidata":"https://www.wikidata.org/wiki/Q2300258","display_name":"Conditional probability distribution","level":2,"score":0.335999995470047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33320000767707825},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.32679998874664307},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.31450000405311584},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31369999051094055},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2946000099182129},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26269999146461487},{"id":"https://openalex.org/C39425265","wikidata":"https://www.wikidata.org/wiki/Q7098944","display_name":"Optimal estimation","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.2500999867916107},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.25}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsac.2025.3648954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2025.3648954","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Journal on Selected Areas in Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4419852451","display_name":null,"funder_award_id":"12125104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G555671903","display_name":null,"funder_award_id":"12426313","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7767296745","display_name":null,"funder_award_id":"2022YFA1003900","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,189,218],"growth":[1],"of":[2,9,17,25,28,61,132,141,172,195,214,256],"frequency":[3],"bandwidths":[4],"in":[5,33,66,111,147,202,230,244],"the":[6,15,23,29,37,59,97,101,117,130,133,137,144,155,169,175,180,186,212,241,253],"new":[7],"generation":[8],"wireless":[10,18,30,68,257],"networks":[11,178],"gives":[12],"rise":[13],"to":[14,57,71,100,115,128,151,167,174,185,210],"multitude":[16],"communication":[19,31,69,258],"scenarios":[20,70,234],"and":[21,95,122,158,192,197,216,232],"highlights":[22],"challenges":[24],"generalized":[26],"capability":[27],"system":[32],"different":[34,67,231],"scenarios,":[35],"especially":[36],"channel":[38,62,82,87,103,176,227],"estimation":[39,88,104,177,228],"module.":[40],"In":[41],"this":[42,203],"paper,":[43],"we":[44,113,149],"propose":[45,114,150],"a":[46,124,160],"large":[47],"model":[48,127,129],"dubbed":[49,162],"Conditional":[50],"Latent":[51],"Diffusion":[52],"Channel":[53,76],"Generation":[54],"Model":[55],"(C-LCGM)":[56],"learn":[58],"distributions":[60],"state":[63],"information":[64],"(CSI)":[65],"form":[72],"Bayesian":[73],"Modeling":[74],"based":[75],"Estimation":[77],"Scheme":[78],"(BMCE)":[79],"for":[80,107,179],"universal":[81,86],"estimation.":[83],"BMCE":[84,198,223,250],"conducts":[85],"by":[89],"generating":[90,237],"reference":[91,98],"CSIs":[92,99,118,142,171,239,243],"from":[93],"C-LCGM":[94,153,173,196,215,236],"mapping":[96],"optimal":[102,226],"neural":[105],"network":[106],"each":[108,245],"scenario.":[109,246],"Specifically":[110],"C-LCGM,":[112],"compress":[116],"into":[119],"latent":[120,134],"codes":[121,135],"design":[123,159,190],"conditional":[125],"diffusion":[126],"distribution":[131],"given":[136],"large-scale":[138],"parameters":[139],"(LSP)":[140],"as":[143],"condition.":[145],"Further":[146],"BMCE,":[148],"deploy":[152],"on":[154],"server":[156],"center":[157],"hyper-network":[161],"Parameters":[163],"Generating":[164],"Module":[165],"(PGM)":[166],"map":[168],"generated":[170],"base":[181],"stations":[182],"(BS)":[183],"according":[184],"reported":[187],"LSPs.":[188],"rationale":[191],"training":[193],"loss":[194],"are":[199],"derived":[200],"theoretically":[201],"paper.":[204],"We":[205],"also":[206],"conduct":[207],"extensive":[208],"simulations":[209],"verify":[211],"performance":[213,229],"BMCE.":[217],"simulation":[219],"results":[220],"show":[221],"that":[222],"can":[224,251],"achieve":[225],"novel":[233],"with":[235],"high-quality":[238],"approximating":[240],"real":[242],"Complexity":[247],"analysis":[248],"shows":[249],"fit":[252],"delay":[254],"requirement":[255],"systems.":[259]},"counts_by_year":[],"updated_date":"2026-02-25T06:17:34.324206","created_date":"2025-12-26T00:00:00"}