{"id":"https://openalex.org/W3161398308","doi":"https://doi.org/10.1109/wcncw49093.2021.9419993","title":"Radio Environment Map Construction with Spatially Distributed Sensors","display_name":"Radio Environment Map Construction with Spatially Distributed Sensors","publication_year":2021,"publication_date":"2021-03-29","ids":{"openalex":"https://openalex.org/W3161398308","doi":"https://doi.org/10.1109/wcncw49093.2021.9419993","mag":"3161398308"},"language":"en","primary_location":{"id":"doi:10.1109/wcncw49093.2021.9419993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcncw49093.2021.9419993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5017819041","display_name":"Yiqun Xu","orcid":"https://orcid.org/0000-0003-0388-0165"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-Qun Xu","raw_affiliation_strings":["Army Engineering University,College of Communications and Engineering,Nanjing,China","College of Communications and Engineering, Army Engineering University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Engineering University,College of Communications and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"College of Communications and Engineering, Army Engineering University, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041708941","display_name":"Bangning Zhang","orcid":"https://orcid.org/0000-0002-6670-7426"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bangning Zhang","raw_affiliation_strings":["Army Engineering University,College of Communications and Engineering,Nanjing,China","College of Communications and Engineering, Army Engineering University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Engineering University,College of Communications and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"College of Communications and Engineering, Army Engineering University, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014173407","display_name":"Bing Zhao","orcid":"https://orcid.org/0000-0002-9743-570X"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Zhao","raw_affiliation_strings":["Army Engineering University,College of Communications and Engineering,Nanjing,China","College of Communications and Engineering, Army Engineering University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Engineering University,College of Communications and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"College of Communications and Engineering, Army Engineering University, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074512155","display_name":"Daoxing Guo","orcid":"https://orcid.org/0000-0003-1544-6921"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daoxing Guo","raw_affiliation_strings":["Army Engineering University,College of Communications and Engineering,Nanjing,China","College of Communications and Engineering, Army Engineering University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Engineering University,College of Communications and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"College of Communications and Engineering, Army Engineering University, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210163363"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9940999746322632,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9940999746322632,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9796000123023987,"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/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.7322056293487549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6657928228378296},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5761135220527649},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5510615706443787},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5403954982757568},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4889296591281891},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4823398292064667},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.41725778579711914},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41523343324661255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3059200644493103}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.7322056293487549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6657928228378296},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5761135220527649},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5510615706443787},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5403954982757568},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4889296591281891},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4823398292064667},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.41725778579711914},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41523343324661255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3059200644493103},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcncw49093.2021.9419993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcncw49093.2021.9419993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W146619314","https://openalex.org/W1551819046","https://openalex.org/W1599710294","https://openalex.org/W1855378005","https://openalex.org/W1973344211","https://openalex.org/W1994416893","https://openalex.org/W2009244389","https://openalex.org/W2025720061","https://openalex.org/W2105156740","https://openalex.org/W2107872407","https://openalex.org/W2165406227","https://openalex.org/W2395591486","https://openalex.org/W2416633663","https://openalex.org/W2574081677","https://openalex.org/W2753599755","https://openalex.org/W2917048994","https://openalex.org/W3104822289","https://openalex.org/W6712291075"],"related_works":["https://openalex.org/W3087071515","https://openalex.org/W4283077537","https://openalex.org/W2999603699","https://openalex.org/W2902858271","https://openalex.org/W2464065341","https://openalex.org/W2947536360","https://openalex.org/W3086697448","https://openalex.org/W1987558550","https://openalex.org/W2968689489","https://openalex.org/W4302573481"],"abstract_inverted_index":{"In":[0],"this":[1,30],"paper,":[2],"we":[3,87],"propose":[4],"an":[5],"analysis":[6,41,170,182],"framework":[7,183],"based":[8],"on":[9],"spectrum":[10,62,91],"data":[11,63,80,181],"gathered":[12],"by":[13,82,108],"spatially":[14,67],"distributed":[15],"sensors":[16,123,149,167],"to":[17,35,59,97],"construct":[18],"the":[19,25,32,37,61,83,89,95,99,134,137,146,156,163,172,177],"radio":[20],"environment":[21],"map":[22],"(REM).":[23],"To":[24],"best":[26],"of":[27,39,72,171,179],"our":[28,180],"knowledge,":[29],"is":[31,57,104,151,159,184],"first":[33],"attempt":[34],"leverage":[36],"power":[38],"Bayesian":[40,53],"and":[42,124,128,132],"Markov":[43],"chain":[44],"Monte":[45],"Carlo":[46],"(MCMC)":[47],"in":[48],"REM.":[49],"Specifically,":[50],"a":[51],"three-stage":[52],"hierarchical":[54],"model":[55],"(BHM)":[56],"established":[58],"imitate":[60],"generation":[64],"process":[65],"under":[66,115],"correlated":[68],"shadow":[69],"fading.":[70],"Parameters":[71],"BHM":[73],"are":[74],"estimated":[75],"with":[76,94],"MCMC":[77],"algorithm":[78],"from":[79],"collected":[81],"sensor":[84,106,117],"network.":[85],"Then,":[86],"address":[88],"space-dimension":[90],"inference":[92,114,157,173],"problem":[93],"aim":[96],"interpolate":[98],"signal":[100,138],"strength":[101],"where":[102],"there":[103],"no":[105],"node":[107],"composition":[109],"sampling.":[110],"We":[111],"make":[112],"spatial":[113],"two":[116,129],"location":[118],"modes":[119],"(square":[120],"lattice":[121,165],"located":[122,126,148,166],"randomly":[125,147],"sensors)":[127],"scenarios":[130],"(with":[131],"without":[133],"information":[135],"about":[136],"source),":[139],"respectively.":[140],"Simulation":[141],"results":[142],"demonstrate":[143],"that":[144,176],"although":[145],"mode":[150],"suitable":[152],"for":[153],"parameter":[154],"estimation,":[155],"performance":[158,174],"not":[160],"better":[161],"than":[162],"square":[164],"mode.":[168],"Quantitative":[169],"confirms":[175],"effectiveness":[178],"compelling.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
