{"id":"https://openalex.org/W3194089353","doi":"https://doi.org/10.1109/vtc2021-fall52928.2021.9625382","title":"Bayesian Synthetic Likelihood for Calibration of Stochastic Radio Channel Model","display_name":"Bayesian Synthetic Likelihood for Calibration of Stochastic Radio Channel Model","publication_year":2021,"publication_date":"2021-09-01","ids":{"openalex":"https://openalex.org/W3194089353","doi":"https://doi.org/10.1109/vtc2021-fall52928.2021.9625382","mag":"3194089353"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2021-fall52928.2021.9625382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2021-fall52928.2021.9625382","pdf_url":null,"source":{"id":"https://openalex.org/S4363607774","display_name":"2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://vbn.aau.dk/da/publications/33c39426-f70c-4d4d-92fe-8f5e718a88f4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023043573","display_name":"Ramoni Adeogun","orcid":"https://orcid.org/0000-0003-1118-7141"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Ramoni Adeogun","raw_affiliation_strings":["Aalborg University,Department of Electronic Systems,Aalborg,Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University,Department of Electronic Systems,Aalborg,Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023778123","display_name":"Claus M. Larsen","orcid":null},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Claus M. Larsen","raw_affiliation_strings":["Aalborg University,Department of Electronic Systems,Aalborg,Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University,Department of Electronic Systems,Aalborg,Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059805879","display_name":"Dennis Sand","orcid":null},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Dennis Sand","raw_affiliation_strings":["Aalborg University,Department of Electronic Systems,Aalborg,Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University,Department of Electronic Systems,Aalborg,Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055991258","display_name":"Holger Severin Bovbjerg","orcid":"https://orcid.org/0000-0002-8735-739X"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Holger S. Bovbjerg","raw_affiliation_strings":["Aalborg University,Department of Electronic Systems,Aalborg,Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University,Department of Electronic Systems,Aalborg,Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098243757","display_name":"Peter K. Fisker","orcid":null},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Peter K. Fisker","raw_affiliation_strings":["Aalborg University,Department of Electronic Systems,Aalborg,Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University,Department of Electronic Systems,Aalborg,Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030923056","display_name":"Tor K. Gjerde","orcid":null},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Tor K. Gjerde","raw_affiliation_strings":["Aalborg University,Department of Electronic Systems,Aalborg,Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University,Department of Electronic Systems,Aalborg,Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I891191580"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9973000288009644,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9973000288009644,"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/T10860","display_name":"Speech and Audio Processing","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9955000281333923,"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/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.8038750886917114},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6387485861778259},{"id":"https://openalex.org/keywords/approximate-bayesian-computation","display_name":"Approximate Bayesian computation","score":0.6192995309829712},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.606999933719635},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5586235523223877},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5516388416290283},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.49775031208992004},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.48420241475105286},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4738103449344635},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.43047067523002625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31411588191986084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2728636860847473},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22523418068885803},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21342229843139648},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06549066305160522}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.8038750886917114},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6387485861778259},{"id":"https://openalex.org/C2779377595","wikidata":"https://www.wikidata.org/wiki/Q21045424","display_name":"Approximate Bayesian computation","level":3,"score":0.6192995309829712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.606999933719635},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5586235523223877},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5516388416290283},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.49775031208992004},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.48420241475105286},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4738103449344635},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.43047067523002625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31411588191986084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2728636860847473},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22523418068885803},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21342229843139648},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06549066305160522},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/vtc2021-fall52928.2021.9625382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2021-fall52928.2021.9625382","pdf_url":null,"source":{"id":"https://openalex.org/S4363607774","display_name":"2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/33c39426-f70c-4d4d-92fe-8f5e718a88f4","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/33c39426-f70c-4d4d-92fe-8f5e718a88f4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:publications/33c39426-f70c-4d4d-92fe-8f5e718a88f4","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85123024729&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Adeogun , R O , Larsen , C M , Sand , D , Bovbjerg , H S , Fisker , P K & K. Gjerde , T 2021 , Bayesian Synthetic Likelihood for Calibration of Stochastic Radio Channel Model . in IEEE 94th Vehicular Technology Conference (VTC2021-Fall) . , 9625382 , IEEE , IEEE Vehicular Technology Conference. Proceedings , 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall) , Norman , Oklahoma , United States , 27/09/2021 . https://doi.org/10.1109/VTC2021-Fall52928.2021.9625382","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/33c39426-f70c-4d4d-92fe-8f5e718a88f4","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/33c39426-f70c-4d4d-92fe-8f5e718a88f4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2002376998","https://openalex.org/W2092124742","https://openalex.org/W2113638573","https://openalex.org/W2114420919","https://openalex.org/W2129727074","https://openalex.org/W2135647798","https://openalex.org/W2146193208","https://openalex.org/W2163363194","https://openalex.org/W2171884936","https://openalex.org/W2593094133","https://openalex.org/W2911425059","https://openalex.org/W2912679442","https://openalex.org/W2953940909","https://openalex.org/W2973968854","https://openalex.org/W2996622705","https://openalex.org/W3011834675","https://openalex.org/W3025673251"],"related_works":["https://openalex.org/W2151689585","https://openalex.org/W2380816257","https://openalex.org/W1985846739","https://openalex.org/W2109606780","https://openalex.org/W1480082381","https://openalex.org/W4299976848","https://openalex.org/W308423894","https://openalex.org/W1436597729","https://openalex.org/W2226294016","https://openalex.org/W3171196943"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,23,29,37],"novel":[4],"Bayesian":[5,85],"Synthetic":[6],"Likelihood":[7],"(BSL)":[8],"method":[9,53,73,81],"for":[10],"calibration":[11,76],"of":[12],"stochastic":[13,24],"radio":[14],"channels":[15],"without":[16],"multi":[17],"path":[18],"parameter":[19],"estimation.":[20],"To":[21],"calibrate":[22,57],"channel":[25],"model,":[26],"we":[27],"apply":[28],"Markov":[30],"Chain":[31],"Monte":[32],"Carlo":[33],"(MCMC)":[34],"algorithm":[35],"with":[36],"Metropolis":[38],"accept/reject":[39],"criterion":[40],"and":[41,61],"synthetic":[42],"likelihood":[43],"obtained":[44],"from":[45],"data":[46],"generated":[47],"using":[48],"the":[49,58,62,71,79],"model.":[50,66],"The":[51],"proposed":[52],"is":[54],"applied":[55],"to":[56,78],"Turin":[59],"model":[60],"polarized":[63],"propagation":[64],"graph":[65],"Simulation":[67],"examples":[68],"show":[69],"that":[70],"BSL":[72],"yield":[74],"similar":[75],"accuracy":[77],"state-of-the-art":[80],"based":[82],"on":[83],"Approximate":[84],"Computation":[86],"(ABC).":[87]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}