{"id":"https://openalex.org/W1990655414","doi":"https://doi.org/10.1109/iccs.2014.7024781","title":"Machine learning techniques for spectrum sensing when primary user has multiple transmit powers","display_name":"Machine learning techniques for spectrum sensing when primary user has multiple transmit powers","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W1990655414","doi":"https://doi.org/10.1109/iccs.2014.7024781","mag":"1990655414"},"language":"en","primary_location":{"id":"doi:10.1109/iccs.2014.7024781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccs.2014.7024781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Communication Systems","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/A5047410441","display_name":"Kaiqing Zhang","orcid":"https://orcid.org/0000-0002-7446-7581"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kaiqing Zhang","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Beijing, China","Tsinghua National Laboratory for Information Science and Technology, Beijing 10084, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Beijing 10084, China#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100357067","display_name":"Jiachen Li","orcid":"https://orcid.org/0000-0002-0368-3551"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiachen Li","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Beijing, China","Tsinghua National Laboratory for Information Science and Technology, Beijing 10084, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Beijing 10084, China#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050402661","display_name":"Feifei Gao","orcid":"https://orcid.org/0000-0001-8896-352X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifei Gao","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Beijing, China","Tsinghua National Laboratory for Information Science and Technology, Beijing 10084, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Beijing 10084, China#TAB#","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047410441"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.3448,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.63347966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9926000237464905,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9925000071525574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7627524733543396},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.7595071792602539},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.697621762752533},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6005917191505432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5788743495941162},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5772298574447632},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5691161155700684},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.552384078502655},{"id":"https://openalex.org/keywords/transmitter-power-output","display_name":"Transmitter power output","score":0.5129961371421814},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45953109860420227},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4553353190422058},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.2742627263069153},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15042617917060852},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.13417792320251465},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.08078217506408691}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7627524733543396},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.7595071792602539},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.697621762752533},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6005917191505432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5788743495941162},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5772298574447632},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5691161155700684},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.552384078502655},{"id":"https://openalex.org/C65422117","wikidata":"https://www.wikidata.org/wiki/Q358527","display_name":"Transmitter power output","level":4,"score":0.5129961371421814},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45953109860420227},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4553353190422058},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2742627263069153},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15042617917060852},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.13417792320251465},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.08078217506408691},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccs.2014.7024781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccs.2014.7024781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Communication Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1510073064","https://openalex.org/W1588401315","https://openalex.org/W1990368529","https://openalex.org/W2030335668","https://openalex.org/W2051224630","https://openalex.org/W2071707134","https://openalex.org/W2075530143","https://openalex.org/W2101840010","https://openalex.org/W2113749736","https://openalex.org/W2119821739","https://openalex.org/W2141860157","https://openalex.org/W2167097631","https://openalex.org/W2168078104","https://openalex.org/W2799061466","https://openalex.org/W4239510810","https://openalex.org/W4248880341","https://openalex.org/W4285719527","https://openalex.org/W6635310694"],"related_works":["https://openalex.org/W2559261346","https://openalex.org/W4280609833","https://openalex.org/W4235820682","https://openalex.org/W185479762","https://openalex.org/W2136943174","https://openalex.org/W4246064491","https://openalex.org/W1968709058","https://openalex.org/W2298116686","https://openalex.org/W2136411405","https://openalex.org/W1989066348"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,13,78],"machine":[6,133],"learning":[7,79,84,104,134],"based":[8,120,135],"spectrum":[9,136],"sensing":[10,137],"framework":[11],"for":[12],"new":[14],"cognitive":[15,68],"radio":[16],"(CR)":[17],"scenario":[18],"where":[19,37,81],"the":[20,34,38,48,59,63,67,75,82,102,114,128,131],"primary":[21,39,60],"user":[22,61,69],"(PU)":[23],"operates":[24],"under":[25],"more":[26],"than":[27],"one":[28],"transmit":[29,40],"power":[30,41],"level.":[31],"Different":[32],"from":[33,77],"existing":[35],"algorithms":[36],"levels":[42],"are":[43],"assumed":[44],"to":[45,91,112,116],"be":[46,72],"known,":[47],"proposed":[49,132],"approach":[50],"does":[51],"not":[52],"require":[53],"much":[54],"prior":[55],"knowledge":[56],"of":[57,74,130],"either":[58],"or":[62],"environment.":[64],"Before":[65],"sensing,":[66],"will":[70],"first":[71],"aware":[73],"environment":[76],"phase,":[80],"unsupervised":[83],"algorithm":[85,105],"(e.g.,":[86,106],"K-means":[87],"clustering)":[88],"is":[89,110],"applied":[90],"discover":[92],"PU's":[93,118],"transmission":[94],"patterns":[95],"as":[96,98],"well":[97],"its":[99],"statistics.":[100],"Then,":[101],"supervised":[103],"Supporting":[107],"Vector":[108],"Machine)":[109],"implemented":[111],"train":[113],"CR":[115],"distinguish":[117],"status":[119],"on":[121],"energy":[122],"feature":[123],"vectors.":[124],"Simulations":[125],"clearly":[126],"demonstrate":[127],"effectiveness":[129],"framework.":[138]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
