{"id":"https://openalex.org/W4387430923","doi":"https://doi.org/10.1109/jiot.2023.3278235","title":"RME-GAN: A Learning Framework for Radio Map Estimation Based on Conditional Generative Adversarial Network","display_name":"RME-GAN: A Learning Framework for Radio Map Estimation Based on Conditional Generative Adversarial Network","publication_year":2023,"publication_date":"2023-05-19","ids":{"openalex":"https://openalex.org/W4387430923","doi":"https://doi.org/10.1109/jiot.2023.3278235"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3278235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3278235","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5100747791","display_name":"Songyang Zhang","orcid":"https://orcid.org/0000-0002-2895-5728"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Songyang Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California at Davis, Davis, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-2895-5728","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California at Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045585968","display_name":"Achintha Wijesinghe","orcid":"https://orcid.org/0000-0002-6690-8682"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Achintha Wijesinghe","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California at Davis, Davis, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-6690-8682","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California at Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085794086","display_name":"Zhi Ding","orcid":"https://orcid.org/0000-0002-2649-2125"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhi Ding","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California at Davis, Davis, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-2649-2125","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California at Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100747791"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":21.2018,"has_fulltext":false,"cited_by_count":112,"citation_normalized_percentile":{"value":0.99733532,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"10","issue":"20","first_page":"18016","last_page":"18027"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9980999827384949,"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/T11309","display_name":"Music and Audio Processing","score":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7654765844345093},{"id":"https://openalex.org/keywords/radio-propagation","display_name":"Radio propagation","score":0.6557391285896301},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.4671112298965454},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.42814117670059204},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.41457176208496094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36007755994796753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35428667068481445},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3280518651008606},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2941504120826721},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.22113707661628723}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7654765844345093},{"id":"https://openalex.org/C202311505","wikidata":"https://www.wikidata.org/wiki/Q1474701","display_name":"Radio propagation","level":2,"score":0.6557391285896301},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.4671112298965454},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.42814117670059204},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.41457176208496094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36007755994796753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35428667068481445},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3280518651008606},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2941504120826721},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.22113707661628723},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2023.3278235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3278235","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3893242030","display_name":null,"funder_award_id":"2029848","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6256277676","display_name":null,"funder_award_id":"2029027","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W652269744","https://openalex.org/W1498305593","https://openalex.org/W1580389772","https://openalex.org/W1901129140","https://openalex.org/W1974857689","https://openalex.org/W2005614662","https://openalex.org/W2042696029","https://openalex.org/W2091484400","https://openalex.org/W2125389028","https://openalex.org/W2131271719","https://openalex.org/W2133665775","https://openalex.org/W2157879939","https://openalex.org/W2160691714","https://openalex.org/W2181680249","https://openalex.org/W2245692383","https://openalex.org/W2342915358","https://openalex.org/W2612025759","https://openalex.org/W2764013471","https://openalex.org/W2782799834","https://openalex.org/W2791279818","https://openalex.org/W2804918468","https://openalex.org/W2883649322","https://openalex.org/W2947146353","https://openalex.org/W2956936418","https://openalex.org/W2963073614","https://openalex.org/W2963414755","https://openalex.org/W2963420272","https://openalex.org/W2963800363","https://openalex.org/W2972468666","https://openalex.org/W2999363952","https://openalex.org/W3009147063","https://openalex.org/W3011286333","https://openalex.org/W3027934792","https://openalex.org/W3034234577","https://openalex.org/W3045987484","https://openalex.org/W3096831136","https://openalex.org/W3105663757","https://openalex.org/W3108838069","https://openalex.org/W3131967102","https://openalex.org/W3132105662","https://openalex.org/W3135827483","https://openalex.org/W3196520615","https://openalex.org/W3212618958","https://openalex.org/W4205708879","https://openalex.org/W4210912606","https://openalex.org/W4221160010","https://openalex.org/W4280521499","https://openalex.org/W4298619141","https://openalex.org/W4312084078","https://openalex.org/W4320029369","https://openalex.org/W4322761281","https://openalex.org/W6629622560","https://openalex.org/W6639824700","https://openalex.org/W6678815747","https://openalex.org/W6679783989","https://openalex.org/W6767844734"],"related_works":["https://openalex.org/W2355663289","https://openalex.org/W2106913410","https://openalex.org/W1640609104","https://openalex.org/W2398398527","https://openalex.org/W3096722082","https://openalex.org/W2372543947","https://openalex.org/W2910323698","https://openalex.org/W3183617701","https://openalex.org/W1988642011","https://openalex.org/W2521264291"],"abstract_inverted_index":{"Outdoor":[0],"radio":[1,25,29,45,49,63,88,106,122],"coverage":[2,36],"map":[3,26,64],"estimation":[4,65],"is":[5,41],"an":[6],"important":[7],"tool":[8],"for":[9,83,142],"network":[10,35,97],"planning":[11,69],"and":[12,21,33,56,67,91,128],"resource":[13],"management":[14],"in":[15,70,124,151],"modern":[16],"Internet":[17],"of":[18,138],"Things":[19],"(IoT)":[20],"cellular":[22],"systems.":[23],"A":[24,38],"spatially":[27],"describes":[28],"signal":[30],"strength":[31,50],"distribution":[32],"provides":[34],"information.":[37],"practical":[39],"problem":[40],"to":[42,61,104,116,126],"estimate":[43,117],"fine-resolution":[44],"maps":[46,123],"from":[47,148],"sparse":[48,149],"measurements.":[51],"However,":[52],"nonuniformly":[53],"positioned":[54],"measurements":[55],"access":[57],"constraints":[58],"pose":[59],"challenges":[60],"accurate":[62],"(RME)":[66],"spectrum":[68],"many":[71],"outdoor":[72,152],"environments.":[73],"In":[74],"this":[75],"work,":[76],"we":[77,110],"develop":[78],"a":[79,93],"two-phase":[80],"learning":[81],"framework":[82,141],"RME":[84,143],"by":[85],"integrating":[86],"well-known":[87],"propagation":[89,107],"model":[90],"designing":[92],"conditional":[94],"generative":[95,146],"adversarial":[96],"(cGAN).":[98],"We":[99],"first":[100],"explore":[101],"global":[102],"information":[103],"extract":[105],"patterns.":[108],"Next,":[109],"focus":[111],"on":[112,121,145],"the":[113,118,130,136,139],"local":[114],"features":[115],"shadowing":[119],"effect":[120],"order":[125],"train":[127],"optimize":[129],"cGAN.":[131],"Our":[132],"experimental":[133],"results":[134],"demonstrate":[135],"efficacy":[137],"proposed":[140],"based":[144],"models":[147],"observations":[150],"scenarios.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":69},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":4}],"updated_date":"2026-05-09T13:55:54.758798","created_date":"2025-10-10T00:00:00"}