{"id":"https://openalex.org/W2227267299","doi":"https://doi.org/10.1109/wcnc.2015.7127598","title":"On channel selection schemes for spectrum sensing in cognitive radio networks","display_name":"On channel selection schemes for spectrum sensing in cognitive radio networks","publication_year":2015,"publication_date":"2015-03-01","ids":{"openalex":"https://openalex.org/W2227267299","doi":"https://doi.org/10.1109/wcnc.2015.7127598","mag":"2227267299"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc.2015.7127598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2015.7127598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5074937834","display_name":"Nazanin Rastegardoost","orcid":"https://orcid.org/0000-0002-2931-4017"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nazanin Rastegardoost","raw_affiliation_strings":["Department of Electrical and Computer Engineering, George Mason University, Fairfax, Virginia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, George Mason University, Fairfax, Virginia","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051050425","display_name":"Bijan Jabbari","orcid":"https://orcid.org/0000-0001-9242-9565"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bijan Jabbari","raw_affiliation_strings":["Department of Electrical and Computer Engineering, George Mason University, Fairfax, Virginia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, George Mason University, Fairfax, Virginia","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"955","last_page":"959"},"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":1.0,"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":1.0,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.993399977684021,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.9538143873214722},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.7466020584106445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6904516220092773},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6768040657043457},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6139338612556458},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5867753624916077},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.48300254344940186},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.47466734051704407},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4731282591819763},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3483101725578308},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26339098811149597},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.24317002296447754},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16413551568984985},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1423863172531128}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.9538143873214722},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.7466020584106445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6904516220092773},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6768040657043457},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6139338612556458},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5867753624916077},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.48300254344940186},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.47466734051704407},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4731282591819763},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3483101725578308},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26339098811149597},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.24317002296447754},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16413551568984985},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1423863172531128},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc.2015.7127598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2015.7127598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Wireless Communications and Networking Conference (WCNC)","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":12,"referenced_works":["https://openalex.org/W2025512744","https://openalex.org/W2029199203","https://openalex.org/W2049468127","https://openalex.org/W2057512587","https://openalex.org/W2092431085","https://openalex.org/W2118314698","https://openalex.org/W2142819538","https://openalex.org/W2145197862","https://openalex.org/W2146025745","https://openalex.org/W2166023188","https://openalex.org/W2168405694","https://openalex.org/W6677796606"],"related_works":["https://openalex.org/W2559261346","https://openalex.org/W4280609833","https://openalex.org/W2018726158","https://openalex.org/W2387652801","https://openalex.org/W2540573036","https://openalex.org/W1990934859","https://openalex.org/W2053336077","https://openalex.org/W2158337294","https://openalex.org/W1996746875","https://openalex.org/W2389192348"],"abstract_inverted_index":{"A":[0],"MAC-layer":[1],"channel":[2],"selection":[3],"scheme":[4,187],"is":[5,71,136,169],"proposed":[6],"in":[7,16,37,87],"this":[8,92],"paper":[9],"for":[10],"efficient":[11],"discovery":[12],"of":[13,31,50,144,166,177,185],"spectrum":[14,51],"opportunities":[15,82],"the":[17,32,41,55,76,80,113,124,133,140,160,175,183,190],"cognitive":[18,25,161],"radio":[19],"networks.":[20],"In":[21,91],"a":[22,96],"practical":[23],"uncertain":[24],"environment,":[26],"secondary":[27,134],"users":[28],"are":[29],"unaware":[30],"primary":[33,145],"traffic":[34],"statistics.":[35],"Thus,":[36],"order":[38],"to":[39,45,61,64,74,83,100,112,139,189],"maximize":[40],"utilization,":[42],"they":[43],"need":[44],"obtain":[46],"fairly":[47],"accurate":[48],"estimations":[49],"availability":[52],"along":[53],"with":[54],"actual":[56],"sensing":[57,167],"procedure,":[58],"so":[59],"as":[60,101,180,182],"learn":[62],"when":[63],"sense":[65],"which":[66],"frequency":[67,89],"channel.":[68],"However,":[69],"it":[70],"important":[72],"not":[73,158],"waste":[75],"time,":[77],"energy":[78],"and":[79,122],"potential":[81],"explore":[84],"primary's":[85,120],"behavior":[86],"all":[88,147],"bands.":[90],"work":[93],"we":[94],"investigate":[95],"low-complexity":[97],"method":[98],"referred":[99],"modified":[102],"myopic":[103,107],"scheme,":[104],"inspired":[105],"by":[106],"strategy,":[108],"whose":[109],"gain":[110],"converges":[111],"highest":[114],"possible":[115],"throughput":[116],"shortly":[117],"after":[118],"learning":[119],"activity":[121,142],"finding":[123],"most":[125],"likely":[126],"available":[127],"channels.":[128],"We":[129],"also":[130,170],"show":[131],"that":[132],"performance":[135],"inversely":[137],"proportional":[138],"lowest":[141],"level":[143],"among":[146],"channels,":[148],"rather":[149],"than":[150],"its":[151],"average":[152],"level.":[153],"Therefore,":[154],"highly-congested":[155],"channels":[156],"do":[157],"reduce":[159],"user's":[162],"gain.":[163],"The":[164],"effect":[165],"errors":[168],"studied.":[171],"Simulation":[172],"results":[173],"indicate":[174],"accuracy":[176],"our":[178,186],"statements":[179],"well":[181],"effectiveness":[184],"compared":[188],"other":[191],"strategies.":[192]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
