{"id":"https://openalex.org/W7140626537","doi":"https://doi.org/10.1109/ieeeconf67917.2025.11443799","title":"Generative Modeling for FR3 Channels based on Experimental Measurements","display_name":"Generative Modeling for FR3 Channels based on Experimental Measurements","publication_year":2025,"publication_date":"2025-10-26","ids":{"openalex":"https://openalex.org/W7140626537","doi":"https://doi.org/10.1109/ieeeconf67917.2025.11443799"},"language":null,"primary_location":{"id":"doi:10.1109/ieeeconf67917.2025.11443799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf67917.2025.11443799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 59th Asilomar Conference on Signals, Systems, and Computers","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/A5130679806","display_name":"Koushal Kumar Reddy Chagari","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165591","display_name":"Network Group (Czechia)","ror":"https://ror.org/055hmgs82","country_code":"CZ","type":"company","lineage":["https://openalex.org/I4210165591"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Koushal Kumar Reddy Chagari","raw_affiliation_strings":["The University of Texas at Austin,6G@UT, WNCG (Wireless Networking and Communications Group),Dept. of ECE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,6G@UT, WNCG (Wireless Networking and Communications Group),Dept. of ECE","institution_ids":["https://openalex.org/I4210165591"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130673784","display_name":"Kaushik Chowdhury","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165591","display_name":"Network Group (Czechia)","ror":"https://ror.org/055hmgs82","country_code":"CZ","type":"company","lineage":["https://openalex.org/I4210165591"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Kaushik Chowdhury","raw_affiliation_strings":["The University of Texas at Austin,6G@UT, WNCG (Wireless Networking and Communications Group),Dept. of ECE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,6G@UT, WNCG (Wireless Networking and Communications Group),Dept. of ECE","institution_ids":["https://openalex.org/I4210165591"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022269967","display_name":"Salam Akoum","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105799","display_name":"Austin Speech Labs","ror":"https://ror.org/01jj3v002","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210105799"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Salam Akoum","raw_affiliation_strings":["AT&#x0026;T Labs,Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&#x0026;T Labs,Austin","institution_ids":["https://openalex.org/I4210105799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042833857","display_name":"Jeffrey G. Andrews","orcid":"https://orcid.org/0000-0002-9115-5088"},"institutions":[{"id":"https://openalex.org/I4210165591","display_name":"Network Group (Czechia)","ror":"https://ror.org/055hmgs82","country_code":"CZ","type":"company","lineage":["https://openalex.org/I4210165591"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Jeffrey G. Andrews","raw_affiliation_strings":["The University of Texas at Austin,6G@UT, WNCG (Wireless Networking and Communications Group),Dept. of ECE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,6G@UT, WNCG (Wireless Networking and Communications Group),Dept. of ECE","institution_ids":["https://openalex.org/I4210165591"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5130679806"],"corresponding_institution_ids":["https://openalex.org/I4210165591"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.6026868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1183","last_page":"1187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.09700000286102295,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11932","display_name":"Wireless Body Area Networks","score":0.09700000286102295,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10951","display_name":"Cryptographic Implementations and Security","score":0.05180000141263008,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.04659999907016754,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3280999958515167},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2969000041484833},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.29269999265670776},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.2727000117301941},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.2565000057220459}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48179998993873596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4246000051498413},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3280999958515167},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3222000002861023},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.29269999265670776},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2565000057220459},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.24529999494552612},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2418999969959259}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf67917.2025.11443799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf67917.2025.11443799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 59th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2281465300","https://openalex.org/W2760103357","https://openalex.org/W3100003307","https://openalex.org/W3112014495","https://openalex.org/W4205733733","https://openalex.org/W4391496512","https://openalex.org/W4403183442","https://openalex.org/W4404576599","https://openalex.org/W4410491937","https://openalex.org/W4413677330","https://openalex.org/W4414359688","https://openalex.org/W7138899956","https://openalex.org/W7138939015","https://openalex.org/W7139015269","https://openalex.org/W7140789150"],"related_works":[],"abstract_inverted_index":{"The":[0],"FR3":[1,31,57,81],"band":[2,13],"(7-24":[3],"GHz)":[4],"is":[5,20],"positioned":[6],"to":[7,74,97],"be":[8],"an":[9],"important":[10],"new":[11,88],"spectral":[12],"for":[14,79],"6G":[15],"cellular":[16,38],"networks.":[17],"Currently,":[18],"there":[19],"limited":[21],"knowledge":[22],"of":[23,30,37,133],"the":[24,35,111,134],"detailed":[25],"propagation":[26],"behavior":[27],"and":[28,70,94,122,128],"characteristics":[29],"channels,":[32],"particularly":[33],"in":[34,131],"context":[36],"deployment.":[39],"We":[40,60,84],"leverage":[41],"a":[42,62,87],"recent":[43],"measurement":[44],"campaign":[45],"by":[46,126],"AT&T":[47],"Labs":[48],"that":[49,110],"comprises":[50],"extensive":[51],"channel":[52,77,82,100],"measurements":[53],"at":[54],"several":[55],"distinct":[56],"carrier":[58],"frequencies.":[59],"present":[61],"diffusion-based":[63],"generative":[64],"modeling":[65],"approach":[66],"conditioned":[67],"on":[68,92],"user":[69],"base":[71],"station":[72],"locations":[73],"produce":[75],"directional":[76],"images":[78],"realistic":[80],"characterization.":[83],"also":[85],"introduce":[86],"comparison":[89],"metric":[90],"based":[91],"delay":[93],"angular":[95],"spreads":[96],"evaluate":[98],"generated":[99],"samples":[101],"against":[102],"these":[103],"ground":[104],"truth":[105],"measurements.":[106],"Our":[107],"findings":[108],"reveal":[109],"diffusion":[112],"model":[113],"consistently":[114],"outperforms":[115],"competitive":[116],"baselines":[117],"like":[118],"conditional":[119],"variational":[120],"autoencoders":[121],"convolutional":[123],"neural":[124],"networks":[125],"57.7":[127],"71.2%,":[129],"respectively,":[130],"terms":[132],"proposed":[135],"metric.":[136]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2026-03-27T00:00:00"}
