{"id":"https://openalex.org/W4223625078","doi":"https://doi.org/10.1109/iceic54506.2022.9748704","title":"Blind Vacant Frequency Channels Detection for Cognitive Radio","display_name":"Blind Vacant Frequency Channels Detection for Cognitive Radio","publication_year":2022,"publication_date":"2022-02-06","ids":{"openalex":"https://openalex.org/W4223625078","doi":"https://doi.org/10.1109/iceic54506.2022.9748704"},"language":"en","primary_location":{"id":"doi:10.1109/iceic54506.2022.9748704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic54506.2022.9748704","pdf_url":null,"source":{"id":"https://openalex.org/S4363608213","display_name":"2022 International Conference on Electronics, Information, and Communication (ICEIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Electronics, Information, and Communication (ICEIC)","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/A5068271925","display_name":"Inna Valieva","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Inna Valieva","raw_affiliation_strings":["School of Innovation, Design, and Engineering, M&#x00E4;lardalen University,V&#x00E4;ster&#x00E5;s,Sweden"],"affiliations":[{"raw_affiliation_string":"School of Innovation, Design, and Engineering, M&#x00E4;lardalen University,V&#x00E4;ster&#x00E5;s,Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074022849","display_name":"Bharath Shashidhar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118935","display_name":"Innovative Wireless Technologies (United States)","ror":"https://ror.org/029xftc44","country_code":"US","type":"company","lineage":["https://openalex.org/I4210118935"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bharath Shashidhar","raw_affiliation_strings":["Wireless P2P Technologies,Research and Development,Falun,Sweden","Research and Development, Wireless P2P Technologies, Falun, Sweden"],"affiliations":[{"raw_affiliation_string":"Wireless P2P Technologies,Research and Development,Falun,Sweden","institution_ids":["https://openalex.org/I4210118935"]},{"raw_affiliation_string":"Research and Development, Wireless P2P Technologies, Falun, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102873589","display_name":"Mats Bj\u00f6rkman","orcid":"https://orcid.org/0000-0002-2419-2735"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mats Bjorkman","raw_affiliation_strings":["School of Innovation, Design, and Engineering, M&#x00E4;lardalen University,V&#x00E4;ster&#x00E5;s,Sweden"],"affiliations":[{"raw_affiliation_string":"School of Innovation, Design, and Engineering, M&#x00E4;lardalen University,V&#x00E4;ster&#x00E5;s,Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088862641","display_name":"Johan \u00c5kerberg","orcid":"https://orcid.org/0000-0002-7159-7508"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Johan Akerberg","raw_affiliation_strings":["School of Innovation, Design, and Engineering, M&#x00E4;lardalen University,V&#x00E4;ster&#x00E5;s,Sweden"],"affiliations":[{"raw_affiliation_string":"School of Innovation, Design, and Engineering, M&#x00E4;lardalen University,V&#x00E4;ster&#x00E5;s,Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017671408","display_name":"Mikael Ekstr\u00f6m","orcid":"https://orcid.org/0000-0002-5832-5452"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mikael Ekstrom","raw_affiliation_strings":["School of Innovation, Design, and Engineering, M&#x00E4;lardalen University,V&#x00E4;ster&#x00E5;s,Sweden"],"affiliations":[{"raw_affiliation_string":"School of Innovation, Design, and Engineering, M&#x00E4;lardalen University,V&#x00E4;ster&#x00E5;s,Sweden","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076130035","display_name":"Iurii Voitenko","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118935","display_name":"Innovative Wireless Technologies (United States)","ror":"https://ror.org/029xftc44","country_code":"US","type":"company","lineage":["https://openalex.org/I4210118935"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Iurii Voitenko","raw_affiliation_strings":["Wireless P2P Technologies,Research and Development,Falun,Sweden","Research and Development, Wireless P2P Technologies, Falun, Sweden"],"affiliations":[{"raw_affiliation_string":"Wireless P2P Technologies,Research and Development,Falun,Sweden","institution_ids":["https://openalex.org/I4210118935"]},{"raw_affiliation_string":"Research and Development, Wireless P2P Technologies, Falun, Sweden","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5068271925"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4324,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.42728031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"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":0.9987000226974487,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9962999820709229,"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/cyclostationary-process","display_name":"Cyclostationary process","score":0.7207638025283813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5980529189109802},{"id":"https://openalex.org/keywords/phase-shift-keying","display_name":"Phase-shift keying","score":0.5872352123260498},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5192482471466064},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5115064382553101},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.46850019693374634},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.43637481331825256},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4293109178543091},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3670766353607178},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.32782360911369324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2959141731262207},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.25589025020599365},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2448846399784088},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.23862090706825256},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20730939507484436},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.155807226896286}],"concepts":[{"id":"https://openalex.org/C178351263","wikidata":"https://www.wikidata.org/wiki/Q3922399","display_name":"Cyclostationary process","level":3,"score":0.7207638025283813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5980529189109802},{"id":"https://openalex.org/C186378180","wikidata":"https://www.wikidata.org/wiki/Q4874866","display_name":"Phase-shift keying","level":4,"score":0.5872352123260498},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5192482471466064},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5115064382553101},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.46850019693374634},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.43637481331825256},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4293109178543091},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3670766353607178},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.32782360911369324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2959141731262207},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.25589025020599365},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2448846399784088},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.23862090706825256},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20730939507484436},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.155807226896286}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic54506.2022.9748704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic54506.2022.9748704","pdf_url":null,"source":{"id":"https://openalex.org/S4363608213","display_name":"2022 International Conference on Electronics, Information, and Communication (ICEIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W310414034","https://openalex.org/W1984876230","https://openalex.org/W2028641302","https://openalex.org/W2093495435","https://openalex.org/W2101840010","https://openalex.org/W2105803893","https://openalex.org/W2112461449","https://openalex.org/W2143678578","https://openalex.org/W2154479287","https://openalex.org/W2161434110","https://openalex.org/W2211109086","https://openalex.org/W2399384138","https://openalex.org/W2751232734","https://openalex.org/W4239832049"],"related_works":["https://openalex.org/W2545896082","https://openalex.org/W2115358448","https://openalex.org/W2162726981","https://openalex.org/W2157094190","https://openalex.org/W2388824665","https://openalex.org/W2122033380","https://openalex.org/W1965215867","https://openalex.org/W2100598284","https://openalex.org/W2044733806","https://openalex.org/W1510837562"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2],"focused":[3],"on":[4,24,29,94,194],"the":[5,30,59,86,90,95,143,166,172,177,201,224],"blind":[6],"vacant":[7],"frequency":[8],"channels":[9,19],"detection":[10,42,54,145,152,159,186,245],"in":[11,34,58,75,85,142,165,200,204,249],"56":[12,18],"MHz":[13,21],"observation":[14],"band":[15],"divided":[16],"into":[17,120],"(1":[20],"each)":[22],"implemented":[23,193],"in-house":[25],"developed":[26],"hardware":[27,115,197],"based":[28],"AD9364":[31],"transceiver":[32],"operating":[33],"automatic":[35],"gain":[36],"control":[37],"(AGC)":[38],"mode.":[39],"Vacant":[40],"channel":[41],"has":[43,82,139,153,160,239],"been":[44,68,83,140,192,221],"modeled":[45],"as":[46,100],"a":[47,101],"binary":[48],"hypothesis":[49],"testing":[50,81],"problem.":[51],"Three":[52],"signal":[53,116,225],"algorithms":[55],"widely":[56],"used":[57],"literature":[60],"including":[61],"energy":[62,151,244],"detection,":[63],"wavelets,":[64],"and":[65,70,118,176,181,187,198,227,229,243],"cyclostationary":[66],"have":[67,191,220],"tested":[69,199],"evaluated":[71],"for":[72,146,171],"potential":[73],"use":[74],"our":[76,195,232],"target":[77,96,196,233],"application.":[78],"Primary,":[79],"offline":[80,144],"performed":[84],"Matlab":[87],"environment":[88,203],"using":[89],"data":[91],"samples":[92,106],"captured":[93],"receiver's":[97],"front":[98],"end":[99],"time-domain":[102],"complex":[103],"signal.":[104],"Data":[105],"containing":[107,179,215],"one,":[108],"two,":[109],"or":[110,123,130,217],"three":[111],"signals":[112,219],"generated":[113,222],"by":[114,210,223,231],"generator":[117,226],"modulated":[119,183],"2FSK,":[121],"BPSK,":[122],"QPSK":[124],"with":[125],"symbol":[126],"rate":[127],"10,":[128],"100,":[129],"1000":[131],"kSymbol/s.":[132],"The":[133],"highest":[134],"accuracy":[135,248],"of":[136],"91.0":[137],"%":[138,156,242,247],"observed":[141],"continuous":[147],"wavelet":[148,189,237],"transform,":[149],"while":[150],"demonstrated":[154,240],"86.4":[155],"accuracy.":[157],"Cyclostationary":[158],"shown":[161],"no":[162],"distinguishable":[163],"difference":[164],"spectrum":[167],"correlation":[168],"values":[169],"calculated":[170],"AWGN":[173,211],"noise":[174],"sample":[175,178],"BPSK":[180],"2FSK":[182],"signals.":[184],"Energy":[185],"discrete":[188],"transform":[190,238],"office":[202],"conditions":[205],"that":[206],"could":[207],"be":[208],"approximated":[209],"channel.":[212],"Test":[213],"sequences":[214],"one":[216],"two":[218],"received":[228],"processed":[230],"radio":[234],"node.":[235],"Discrete":[236],"85.73":[241],"85.25":[246],"real-time":[250],"testing.":[251]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
