{"id":"https://openalex.org/W1984614953","doi":"https://doi.org/10.1109/icoin.2013.6496372","title":"An evolution-inspired algorithm for efficient dynamic spectrum selection","display_name":"An evolution-inspired algorithm for efficient dynamic spectrum selection","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W1984614953","doi":"https://doi.org/10.1109/icoin.2013.6496372","mag":"1984614953"},"language":"en","primary_location":{"id":"doi:10.1109/icoin.2013.6496372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin.2013.6496372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Conference on Information Networking 2013 (ICOIN)","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/A5001221104","display_name":"C. S. Barbosa","orcid":null},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"C. S. Barbosa","raw_affiliation_strings":["Institute of Informatics (INF), Federal University of Goi\u00e1s, Goiania, Brazil","Inst. of Inf. (INF), Fed. Univ. of Goias (UFG), Goiania, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics (INF), Federal University of Goi\u00e1s, Goiania, Brazil","institution_ids":["https://openalex.org/I68106152"]},{"raw_affiliation_string":"Inst. of Inf. (INF), Fed. Univ. of Goias (UFG), Goiania, Brazil","institution_ids":["https://openalex.org/I68106152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069576903","display_name":"Vinicius C. M. Borges","orcid":"https://orcid.org/0000-0003-0513-0958"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"V. C. M. Borges","raw_affiliation_strings":["Laboratory of Communications and Telematics (LCT), University of Coimbra, Coimbra, Portugal","Lab. of Commun. & Telematics (LCT), Univ. of Coimbra (UC), Coimbra, Portugal"],"affiliations":[{"raw_affiliation_string":"Laboratory of Communications and Telematics (LCT), University of Coimbra, Coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]},{"raw_affiliation_string":"Lab. of Commun. & Telematics (LCT), Univ. of Coimbra (UC), Coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]}]},{"author_position":"middle","author":{"id":null,"display_name":"S. Correa","orcid":null},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"S. Correa","raw_affiliation_strings":["Institute of Informatics (INF), Federal University of Goi\u00e1s, Goiania, Brazil","Inst. of Inf. (INF), Fed. Univ. of Goias (UFG), Goiania, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics (INF), Federal University of Goi\u00e1s, Goiania, Brazil","institution_ids":["https://openalex.org/I68106152"]},{"raw_affiliation_string":"Inst. of Inf. (INF), Fed. Univ. of Goias (UFG), Goiania, Brazil","institution_ids":["https://openalex.org/I68106152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071689195","display_name":"Kl\u00e9ber V. Cardoso","orcid":"https://orcid.org/0000-0001-5152-5323"},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"K. V. Cardoso","raw_affiliation_strings":["Institute of Informatics (INF), Federal University of Goi\u00e1s, Goiania, Brazil","Inst. of Inf. (INF), Fed. Univ. of Goias (UFG), Goiania, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics (INF), Federal University of Goi\u00e1s, Goiania, Brazil","institution_ids":["https://openalex.org/I68106152"]},{"raw_affiliation_string":"Inst. of Inf. (INF), Fed. Univ. of Goias (UFG), Goiania, Brazil","institution_ids":["https://openalex.org/I68106152"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001221104"],"corresponding_institution_ids":["https://openalex.org/I68106152"],"apc_list":null,"apc_paid":null,"fwci":0.377,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64662924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"175","last_page":"180"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9975000023841858,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7653670310974121},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7597076296806335},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6918132305145264},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6375594139099121},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.5284407138824463},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48428887128829956},{"id":"https://openalex.org/keywords/selection-algorithm","display_name":"Selection algorithm","score":0.46698257327079773},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.45684918761253357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4448756277561188},{"id":"https://openalex.org/keywords/q-learning","display_name":"Q-learning","score":0.42766934633255005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40727517008781433},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0975005030632019}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7653670310974121},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7597076296806335},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6918132305145264},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6375594139099121},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.5284407138824463},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48428887128829956},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.46698257327079773},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.45684918761253357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4448756277561188},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.42766934633255005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40727517008781433},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0975005030632019},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icoin.2013.6496372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin.2013.6496372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Conference on Information Networking 2013 (ICOIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W123765585","https://openalex.org/W1570822527","https://openalex.org/W1810054459","https://openalex.org/W1966976198","https://openalex.org/W2027843874","https://openalex.org/W2052345953","https://openalex.org/W2119942913","https://openalex.org/W2120200099","https://openalex.org/W2125694180","https://openalex.org/W2142819538","https://openalex.org/W2144369278","https://openalex.org/W2148376402","https://openalex.org/W2159035129","https://openalex.org/W2168078104","https://openalex.org/W3103516496"],"related_works":["https://openalex.org/W2742483371","https://openalex.org/W3096874164","https://openalex.org/W2166117066","https://openalex.org/W2357975469","https://openalex.org/W2136202932","https://openalex.org/W3087814763","https://openalex.org/W4376605461","https://openalex.org/W4400868993","https://openalex.org/W2361647908","https://openalex.org/W2952356279"],"abstract_inverted_index":{"Spectrum":[0,8],"selection":[1,15],"is":[2,16,62],"a":[3],"key":[4],"issue":[5],"in":[6,72],"Dynamic":[7],"Access":[9],"(DSA).":[10],"The":[11],"purpose":[12],"of":[13,27,54,80],"the":[14,25,45,52,55,77,86,92],"to":[17,36,58],"minimize":[18],"interference":[19],"with":[20],"legacy":[21],"devices":[22],"and":[23,39,75],"maximize":[24],"discovery":[26],"opportunities":[28],"or":[29],"white":[30],"spaces.":[31],"There":[32],"are":[33,43,88],"several":[34],"solutions":[35],"this":[37],"issue,":[38],"Reinforcement":[40],"Learning":[41],"algorithms":[42],"among":[44],"most":[46,73],"successful.":[47],"Through":[48],"simulation,":[49],"we":[50],"compare":[51],"performance":[53],"Q-Learning":[56,71],"algorithm":[57],"our":[59],"proposal":[60,69],"which":[61],"based":[63],"on":[64],"an":[65],"Evolution":[66],"Strategy.":[67],"Our":[68],"outperforms":[70],"scenarios,":[74],"has":[76],"further":[78],"advantage":[79],"not":[81],"requiring":[82],"any":[83],"parameterization":[84],"since":[85],"parameters":[87],"automatically":[89],"adjusted":[90],"by":[91],"algorithm.":[93]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}