{"id":"https://openalex.org/W3027863057","doi":"https://doi.org/10.1109/wcncw48565.2020.9124763","title":"Mathematical Models for the Accuracy of the Estimated Distribution of Primary Activity Times in Dynamic Spectrum Access Systems","display_name":"Mathematical Models for the Accuracy of the Estimated Distribution of Primary Activity Times in Dynamic Spectrum Access Systems","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3027863057","doi":"https://doi.org/10.1109/wcncw48565.2020.9124763","mag":"3027863057"},"language":"en","primary_location":{"id":"doi:10.1109/wcncw48565.2020.9124763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcncw48565.2020.9124763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","raw_type":"proceedings-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/A5050222424","display_name":"Miguel L\u00f3pez\u2010Ben\u00edtez","orcid":"https://orcid.org/0000-0003-0526-6687"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Miguel Lopez-Benitez","raw_affiliation_strings":["Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087642013","display_name":"Ogeen H. Toma","orcid":"https://orcid.org/0000-0002-3969-0470"},"institutions":[{"id":"https://openalex.org/I3020445194","display_name":"Universidad Nebrija","ror":"https://ror.org/03tzyrt94","country_code":"ES","type":"education","lineage":["https://openalex.org/I3020445194"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ogeen H. Toma","raw_affiliation_strings":["ARIES Research Centre, Antonio de Nebrija University, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ARIES Research Centre, Antonio de Nebrija University, Spain","institution_ids":["https://openalex.org/I3020445194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101629691","display_name":"Dhaval K. Patel","orcid":"https://orcid.org/0000-0002-1350-4959"},"institutions":[{"id":"https://openalex.org/I52527943","display_name":"Ahmedabad University","ror":"https://ror.org/02swff503","country_code":"IN","type":"education","lineage":["https://openalex.org/I52527943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dhaval K. Patel","raw_affiliation_strings":["School of Engineering and Applied Science, Ahmedabad University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Science, Ahmedabad University, India","institution_ids":["https://openalex.org/I52527943"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07119044,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9998999834060669,"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/T12146","display_name":"Power Line Communications and Noise","score":0.995199978351593,"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/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.8622419834136963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7133510708808899},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6516811847686768},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6321226954460144},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6273545622825623},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.6020933389663696},{"id":"https://openalex.org/keywords/idle","display_name":"Idle","score":0.5183685421943665},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4779210686683655},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4747888445854187},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.45625290274620056},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4402511715888977},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40244466066360474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27435651421546936},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.134789377450943},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.1334337294101715}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.8622419834136963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7133510708808899},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6516811847686768},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6321226954460144},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6273545622825623},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.6020933389663696},{"id":"https://openalex.org/C16320812","wikidata":"https://www.wikidata.org/wiki/Q1812200","display_name":"Idle","level":2,"score":0.5183685421943665},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4779210686683655},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4747888445854187},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.45625290274620056},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4402511715888977},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40244466066360474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27435651421546936},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.134789377450943},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.1334337294101715},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcncw48565.2020.9124763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcncw48565.2020.9124763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1185574181","https://openalex.org/W1969247449","https://openalex.org/W1972707086","https://openalex.org/W1991567646","https://openalex.org/W2016205140","https://openalex.org/W2089719995","https://openalex.org/W2096243335","https://openalex.org/W2107561590","https://openalex.org/W2142764821","https://openalex.org/W2158400618","https://openalex.org/W2160969479","https://openalex.org/W2162884985","https://openalex.org/W2182692758","https://openalex.org/W2325850497","https://openalex.org/W2477474598","https://openalex.org/W2895963365","https://openalex.org/W2907791010","https://openalex.org/W3140783043"],"related_works":["https://openalex.org/W2974485871","https://openalex.org/W1577119738","https://openalex.org/W2559261346","https://openalex.org/W2908872315","https://openalex.org/W2775301649","https://openalex.org/W2048427509","https://openalex.org/W4233632157","https://openalex.org/W2330895226","https://openalex.org/W2994439156","https://openalex.org/W2587869769"],"abstract_inverted_index":{"Dynamic":[0],"Spectrum":[1],"Access":[2],"(DSA)":[3],"/":[4],"Cognitive":[5],"Radio":[6],"(CR)":[7],"systems":[8],"can":[9,25,45,136],"greatly":[10],"benefit":[11],"from":[12],"the":[13,16,20,29,34,39,50,53,58,82,124],"knowledge":[14],"of":[15,19,52,57,66,106,161],"activity":[17,67],"statistics":[18,24],"primary":[21,59],"channel.":[22],"Such":[23],"be":[26,46,137],"estimated":[27,83],"by":[28,38,127],"DSA/CR":[30],"system":[31],"based":[32],"on":[33],"on/off":[35],"decisions":[36],"provided":[37,78,97],"employed":[40],"spectrum":[41],"sensing":[42],"algorithm,":[43],"which":[44],"processed":[47],"to":[48,143],"estimate":[49],"duration":[51],"individual":[54],"idle/busy":[55],"periods":[56],"channel":[60],"and":[61,77,109,140],"subsequently":[62],"a":[63,157],"broad":[64],"range":[65],"statistics.":[68],"Previous":[69],"work":[70,122],"has":[71],"investigated":[72],"analytically":[73],"this":[74,119,121],"estimation":[75,90,145],"approach":[76],"closed-form":[79],"expressions":[80,150],"for":[81,115],"distribution":[84],"as":[85,87],"well":[86],"its":[88],"associated":[89],"error.":[91],"However,":[92],"existing":[93,125],"analytical":[94,116],"results":[95,126],"are":[96,141,151],"in":[98,131],"an":[99,132],"implicit":[100],"form":[101,105,134],"that":[102,135],"requires":[103],"some":[104],"numerical":[107],"evaluation":[108],"is":[110],"not":[111],"always":[112],"well-":[113],"suited":[114],"manipulations.":[117],"In":[118],"context,":[120],"extends":[123],"providing":[128],"mathematical":[129,149],"models":[130],"explicit":[133],"evaluated":[138],"directly":[139],"applicable":[142],"several":[144],"strategies.":[146],"The":[147],"obtained":[148],"validated":[152],"with":[153],"simulation":[154],"results,":[155],"showing":[156],"remarkable":[158],"high":[159],"level":[160],"accuracy.":[162]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}