{"id":"https://openalex.org/W4415192331","doi":"https://doi.org/10.1109/gcwkshps68340.2025.11591021","title":"Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling","display_name":"Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W4415192331","doi":"https://doi.org/10.1109/gcwkshps68340.2025.11591021"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps68340.2025.11591021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps68340.2025.11591021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2508.06054","any_repository_has_fulltext":true},"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/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":["The Chinese University of Hong Kong-Shenzhen,Shenzhen Research Institute of Big Data,Guangdong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong-Shenzhen,Shenzhen Research Institute of Big Data,Guangdong,China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000618158","display_name":"Shutao Zhang","orcid":"https://orcid.org/0000-0002-2131-5883"},"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":"Shutao Zhang","raw_affiliation_strings":["The Chinese University of Hong Kong-Shenzhen,Shenzhen Research Institute of Big Data,Guangdong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong-Shenzhen,Shenzhen Research Institute of Big Data,Guangdong,China","institution_ids":["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/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":["The Chinese University of Hong Kong-Shenzhen,Shenzhen Research Institute of Big Data,Guangdong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong-Shenzhen,Shenzhen Research Institute of Big Data,Guangdong,China","institution_ids":["https://openalex.org/I4210116924"]}]},{"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":["The Chinese University of Hong Kong-Shenzhen,Shenzhen Research Institute of Big Data,Guangdong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong-Shenzhen,Shenzhen Research Institute of Big Data,Guangdong,China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210116924"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1005","last_page":"1010"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11946","display_name":"Antenna Design and Optimization","score":0.9957000017166138,"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"}},"topics":[{"id":"https://openalex.org/T11946","display_name":"Antenna Design and Optimization","score":0.9957000017166138,"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/T12450","display_name":"Radio Astronomy Observations and Technology","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11851","display_name":"Electromagnetic Compatibility and Measurements","score":0.9843999743461609,"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/robustness","display_name":"Robustness (evolution)","score":0.7545999884605408},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.6607000231742859},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5940999984741211},{"id":"https://openalex.org/keywords/radio-propagation","display_name":"Radio propagation","score":0.5877000093460083},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5742999911308289},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5503000020980835},{"id":"https://openalex.org/keywords/radio-signal","display_name":"Radio signal","score":0.5412999987602234},{"id":"https://openalex.org/keywords/radio-channel","display_name":"Radio channel","score":0.48420000076293945},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4661000072956085},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.44589999318122864}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7545999884605408},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.6607000231742859},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5940999984741211},{"id":"https://openalex.org/C202311505","wikidata":"https://www.wikidata.org/wiki/Q1474701","display_name":"Radio propagation","level":2,"score":0.5877000093460083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5767999887466431},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5742999911308289},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5503000020980835},{"id":"https://openalex.org/C2983886724","wikidata":"https://www.wikidata.org/wiki/Q4262","display_name":"Radio signal","level":3,"score":0.5412999987602234},{"id":"https://openalex.org/C2988879021","wikidata":"https://www.wikidata.org/wiki/Q273623","display_name":"Radio channel","level":3,"score":0.48420000076293945},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4661000072956085},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.44589999318122864},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4221999943256378},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.38359999656677246},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.373199999332428},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36419999599456787},{"id":"https://openalex.org/C76843793","wikidata":"https://www.wikidata.org/wiki/Q1474701","display_name":"Radio propagation model","level":3,"score":0.35190001130104065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34790000319480896},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3465000092983246},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.32829999923706055},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.32760000228881836},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.31630000472068787},{"id":"https://openalex.org/C98887418","wikidata":"https://www.wikidata.org/wiki/Q908488","display_name":"Electric beacon","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.30250000953674316},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.2944999933242798},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.29350000619888306},{"id":"https://openalex.org/C96513508","wikidata":"https://www.wikidata.org/wiki/Q4262","display_name":"Radio wave","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2800000011920929},{"id":"https://openalex.org/C101541887","wikidata":"https://www.wikidata.org/wiki/Q1555675","display_name":"Remote radio head","level":4,"score":0.27489998936653137},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.2680000066757202},{"id":"https://openalex.org/C2776104089","wikidata":"https://www.wikidata.org/wiki/Q15894079","display_name":"Location awareness","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2639000117778778},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26269999146461487},{"id":"https://openalex.org/C12430449","wikidata":"https://www.wikidata.org/wiki/Q7280888","display_name":"Radio Link Protocol","level":3,"score":0.258899986743927}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/gcwkshps68340.2025.11591021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps68340.2025.11591021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2508.06054","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.06054","pdf_url":"https://arxiv.org/pdf/2508.06054","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2508.06054","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2508.06054","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2508.06054","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.06054","pdf_url":"https://arxiv.org/pdf/2508.06054","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"MM-LSCM,":[3],"a":[4,46,79,109],"self-supervised":[5,80],"multi-modal":[6,68],"neural":[7,48],"radio":[8,72],"radiance":[9],"field":[10],"framework":[11],"for":[12,18,86,112],"localized":[13],"statistical":[14],"channel":[15,100],"modeling":[16],"(LSCM)":[17],"next-generation":[19],"network":[20,115],"optimization.":[21,116],"Traditional":[22],"LSCM":[23],"methods":[24,98],"rely":[25],"solely":[26],"on":[27],"RSRP":[28,52],"data,":[29],"limiting":[30],"their":[31],"ability":[32],"to":[33,70,105],"model":[34],"environmental":[35,75],"structures":[36],"that":[37,50,93],"affect":[38],"signal":[39],"propagation.":[40],"To":[41],"address":[42],"this,":[43],"we":[44],"propose":[45],"dual-branch":[47],"architecture":[49],"integrates":[51],"data":[53],"and":[54,62,77,103],"LiDAR":[55],"point":[56],"cloud":[57],"information,":[58],"enhancing":[59],"spatial":[60],"awareness":[61],"predictive":[63],"accuracy.":[64],"MM-LSCM":[65,94],"leverages":[66],"volume-rendering-based":[67],"synthesis":[69],"align":[71],"propagation":[73],"with":[74],"obstacles":[76],"employs":[78],"training":[81],"approach,":[82],"eliminating":[83],"the":[84],"need":[85],"costly":[87],"labeled":[88],"data.":[89],"Experimental":[90],"results":[91],"demonstrate":[92],"significantly":[95],"outperforms":[96],"conventional":[97],"in":[99],"reconstruction":[101],"accuracy":[102],"robustness":[104],"noise,":[106],"making":[107],"it":[108],"promising":[110],"solution":[111],"real-world":[113],"wireless":[114]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-15T00:00:00"}