{"id":"https://openalex.org/W2526746481","doi":"https://doi.org/10.1109/iwcmc.2016.7577130","title":"A cooperative sensing scheme for cognitive networks over fading channels","display_name":"A cooperative sensing scheme for cognitive networks over fading channels","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2526746481","doi":"https://doi.org/10.1109/iwcmc.2016.7577130","mag":"2526746481"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc.2016.7577130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2016.7577130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Wireless Communications and Mobile Computing Conference (IWCMC)","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/A5040609309","display_name":"Qingjiao Song","orcid":"https://orcid.org/0009-0005-9807-9777"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Qingjiao Song","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005243649","display_name":"Walaa Hamouda","orcid":"https://orcid.org/0000-0001-6618-5851"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Walaa Hamouda","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040609309"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.1193574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"95","issue":null,"first_page":"632","last_page":"637"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9987999796867371,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.991599977016449,"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/fusion-center","display_name":"Fusion center","score":0.8972301483154297},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.8104385137557983},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.8038676977157593},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.7981944680213928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6979003548622131},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.632503867149353},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5827341079711914},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4984755516052246},{"id":"https://openalex.org/keywords/statistical-power","display_name":"Statistical power","score":0.42430996894836426},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.41953182220458984},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4163055419921875},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3051895201206207},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2613447606563568},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.24036899209022522},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.23771899938583374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1875813603401184},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1794770359992981},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17826765775680542},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.10063305497169495}],"concepts":[{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.8972301483154297},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.8104385137557983},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.8038676977157593},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.7981944680213928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6979003548622131},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.632503867149353},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5827341079711914},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4984755516052246},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.42430996894836426},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.41953182220458984},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4163055419921875},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3051895201206207},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2613447606563568},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.24036899209022522},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.23771899938583374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1875813603401184},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1794770359992981},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17826765775680542},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.10063305497169495},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc.2016.7577130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2016.7577130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Wireless Communications and Mobile Computing Conference (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1522045078","https://openalex.org/W1971950269","https://openalex.org/W1973979964","https://openalex.org/W1977923364","https://openalex.org/W2000357703","https://openalex.org/W2031211320","https://openalex.org/W2045150220","https://openalex.org/W2072196484","https://openalex.org/W2141860157","https://openalex.org/W2155999145","https://openalex.org/W2161391533","https://openalex.org/W2164701487","https://openalex.org/W2493309683"],"related_works":["https://openalex.org/W1980651798","https://openalex.org/W2015932684","https://openalex.org/W2155582161","https://openalex.org/W2140760796","https://openalex.org/W2116311747","https://openalex.org/W1975446248","https://openalex.org/W2526746481","https://openalex.org/W2349411638","https://openalex.org/W2388242297","https://openalex.org/W2532958441"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,124],"new":[6],"cooperative":[7,12,20,34],"spectrum":[8,110],"sensing":[9,21,111],"scheme":[10,22,58,112],"for":[11],"energy":[13],"detection,":[14],"named":[15],"multi-selective":[16],"scheme.":[17],"The":[18,53,105],"proposed":[19,57,109],"is":[23,59,100,113],"based":[24],"on":[25],"order":[26],"statistics":[27],"of":[28,55,67,70,74,107,129,132],"the":[29,33,40,56,68,94,130],"reporting":[30,51,87],"links":[31,41,88],"between":[32],"nodes":[35],"and":[36,72,118,134],"fusion":[37,95],"center":[38,96],"where":[39,97,121],"with":[42,138],"high":[43],"signal-to-noise":[44],"ratios":[45],"(SNRs)":[46],"are":[47],"selected":[48],"as":[49],"reliable":[50,86],"links.":[52],"performance":[54,106,126],"compared":[60,137],"to":[61,93],"other":[62,140],"existing":[63,141],"schemes":[64],"in":[65],"terms":[66],"probability":[69,73,131],"detection":[71,133],"false":[75,135],"alarm":[76,136],"over":[77],"independent":[78],"identical":[79],"distributed":[80],"(i.i.d.)":[81],"Rayleigh":[82],"fading":[83],"channels.":[84],"These":[85],"send":[89],"their":[90],"hard/local":[91],"decisions":[92],"final":[98],"decision":[99],"made":[101],"using":[102,115],"N-out-of-K":[103],"rule.":[104],"our":[108],"evaluated":[114],"both":[116],"analytical":[117],"simulation":[119],"results":[120],"it":[122],"shows":[123],"significant":[125],"improvement":[127],"in-terms":[128],"some":[139],"schemes.":[142]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
