{"id":"https://openalex.org/W2970501080","doi":"https://doi.org/10.1109/globecom38437.2019.9013240","title":"Enabling Simulation-Based Optimization through Machine Learning: A Case Study on Antenna Design","display_name":"Enabling Simulation-Based Optimization through Machine Learning: A Case Study on Antenna Design","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W2970501080","doi":"https://doi.org/10.1109/globecom38437.2019.9013240","mag":"2970501080"},"language":"en","primary_location":{"id":"doi:10.1109/globecom38437.2019.9013240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom38437.2019.9013240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1908.11225","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Paolo Testolina","orcid":null},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Testolina","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mattia Lecci","orcid":null},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mattia Lecci","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mattia Rebato","orcid":null},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mattia Rebato","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Alberto Testolin","orcid":null},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alberto Testolin","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jonathan Gambini","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jonathan Gambini","raw_affiliation_strings":["HUAWEI Technologies, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUAWEI Technologies, Milan, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Roberto Flamini","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roberto Flamini","raw_affiliation_strings":["HUAWEI Technologies, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUAWEI Technologies, Milan, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Christian Mazzucco","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christian Mazzucco","raw_affiliation_strings":["HUAWEI Technologies, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUAWEI Technologies, Milan, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Michele Zorzi","orcid":null},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Zorzi","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9998999834060669,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9998999834060669,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9988999962806702,"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/T10262","display_name":"Microwave Engineering and Waveguides","score":0.9984999895095825,"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/testbed","display_name":"Testbed","score":0.7407000064849854},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.49799999594688416},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.43790000677108765},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.4253999888896942},{"id":"https://openalex.org/keywords/parameter-space","display_name":"Parameter space","score":0.39169999957084656},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.382999986410141},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3456999957561493},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.31610000133514404}],"concepts":[{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.7407000064849854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6642000079154968},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.49799999594688416},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.43790000677108765},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.4253999888896942},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.41110000014305115},{"id":"https://openalex.org/C73586568","wikidata":"https://www.wikidata.org/wiki/Q2600211","display_name":"Parameter space","level":2,"score":0.39169999957084656},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.382999986410141},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C108215451","wikidata":"https://www.wikidata.org/wiki/Q7263963","display_name":"Simulation modeling","level":2,"score":0.3138999938964844},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.30820000171661377},{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.29649999737739563},{"id":"https://openalex.org/C68028875","wikidata":"https://www.wikidata.org/wiki/Q7572595","display_name":"Space mapping","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C184389593","wikidata":"https://www.wikidata.org/wiki/Q603159","display_name":"Curve fitting","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2768000066280365},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.2612999975681305},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2565999925136566}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/globecom38437.2019.9013240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom38437.2019.9013240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1908.11225","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.11225","pdf_url":"https://arxiv.org/pdf/1908.11225","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":"pmh:oai:www.research.unipd.it:11577/3334166","is_oa":false,"landing_page_url":"http://hdl.handle.net/11577/3334166","pdf_url":null,"source":{"id":"https://openalex.org/S4377196283","display_name":"Research Padua  Archive (University of Padua)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1908.11225","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.11225","pdf_url":"https://arxiv.org/pdf/1908.11225","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2107330855","https://openalex.org/W2111085587","https://openalex.org/W2138020668","https://openalex.org/W2616867685","https://openalex.org/W2734408173","https://openalex.org/W2885033069","https://openalex.org/W2962954457","https://openalex.org/W4210538530","https://openalex.org/W6703284440","https://openalex.org/W6759127422"],"related_works":[],"abstract_inverted_index":{"Complex":[0],"phenomena":[1],"are":[2,69],"generally":[3],"modeled":[4],"with":[5,29,77,171],"sophisticated":[6],"simulators":[7],"that,":[8,169],"depending":[9],"on":[10,204],"their":[11],"accuracy,":[12],"can":[13,194],"be":[14,36,126,196],"very":[15,191],"demanding":[16],"in":[17,98,118,209],"terms":[18],"of":[19,55,121],"computational":[20],"resources":[21],"and":[22,155],"simulation":[23],"time.":[24,101,211],"Their":[25],"time-consuming":[26],"nature,":[27],"together":[28],"a":[30,49,74,78,108,119,129,134,142,176],"typically":[31],"vast":[32,114],"parameter":[33,116],"space":[34],"to":[35,71,90,94,106,182,198],"explored,":[37],"make":[38],"simulation-":[39],"based":[40],"optimization":[41,54,111,202],"often":[42],"infeasible.":[43],"In":[44],"this":[45],"work,":[46],"we":[47,140,161],"present":[48],"method":[50],"that":[51,124],"enables":[52],"the":[53,95,113,122,137,157,184,205],"complex":[56,75],"systems":[57],"through":[58],"Machine":[59],"Learning":[60],"(ML)":[61],"techniques.":[62],"We":[63],"show":[64,168],"how":[65],"well-known":[66],"learning":[67],"algorithms":[68],"able":[70,89],"reliably":[72],"emulate":[73],"simulator":[76,144],"modest":[79],"dataset":[80],"obtained":[81],"from":[82],"it.":[83],"The":[84,190],"trained":[85],"emulator":[86],"is":[87,104],"then":[88,195],"yield":[91],"values":[92],"close":[93],"simulated":[96],"ones":[97],"virtually":[99],"no":[100],"Therefore,":[102],"it":[103,163,180],"possible":[105,181],"perform":[107],"global":[109,185],"numerical":[110],"over":[112],"multi-dimensional":[115],"space,":[117],"fraction":[120],"time":[123],"would":[125],"required":[127],"by":[128],"simple":[130],"brute-force":[131],"search.":[132],"As":[133],"testbed":[135],"for":[136,145],"proposed":[138],"methodology,":[139],"used":[141,197],"network":[143],"next-generation":[146],"mmWave":[147],"cellular":[148],"systems.":[149],"After":[150],"simulating":[151],"several":[152],"antenna":[153],"configurations":[154],"collecting":[156],"resulting":[158],"network-level":[159],"statistics,":[160],"feed":[162],"into":[164],"our":[165],"framework.":[166],"Results":[167],"even":[170],"few":[172],"data":[173],"points,":[174],"extrapolating":[175],"continuous":[177],"model":[178],"makes":[179],"estimate":[183],"optimum":[186],"configuration":[187],"almost":[188],"instantaneously.":[189],"same":[192,206],"tool":[193],"achieve":[199],"any":[200],"further":[201],"goal":[203],"input":[207],"parameters":[208],"negligible":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2019-09-05T00:00:00"}
