{"id":"https://openalex.org/W2920422030","doi":"https://doi.org/10.1145/3290420.3290439","title":"An improved dual threshold DMM cooperative spectrum sensing algorithm","display_name":"An improved dual threshold DMM cooperative spectrum sensing algorithm","publication_year":2018,"publication_date":"2018-11-02","ids":{"openalex":"https://openalex.org/W2920422030","doi":"https://doi.org/10.1145/3290420.3290439","mag":"2920422030"},"language":"en","primary_location":{"id":"doi:10.1145/3290420.3290439","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290420.3290439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Communication and Information Processing","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/A5101905973","display_name":"Weiting Gao","orcid":"https://orcid.org/0000-0001-8214-4590"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiting Gao","raw_affiliation_strings":["Institute of Information and Navigation Airforce Engineering University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information and Navigation Airforce Engineering University, Xi'an, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102096106","display_name":"Haifeng Zhu","orcid":"https://orcid.org/0009-0005-9922-4155"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Zhu","raw_affiliation_strings":["Institute of Information and Navigation Airforce Engineering University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information and Navigation Airforce Engineering University, Xi'an, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009029103","display_name":"Guobing Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guobing Cheng","raw_affiliation_strings":["Institute of Information and Navigation Airforce Engineering University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information and Navigation Airforce Engineering University, Xi'an, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012953503","display_name":"Fei Ma","orcid":"https://orcid.org/0000-0001-9374-2385"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fei Ma","raw_affiliation_strings":["Xi'an Modern Control Technology Research Institute, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Modern Control Technology Research Institute, Xi'an, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048613794","display_name":"Weilun Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weilun Liu","raw_affiliation_strings":["Institute of Information and Navigation Airforce Engineering University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information and Navigation Airforce Engineering University, Xi'an, China","institution_ids":["https://openalex.org/I4210104252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"227","last_page":"233"},"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":0.9900000095367432,"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":0.9900000095367432,"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/T14011","display_name":"Elevator Systems and Control","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9699000120162964,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6999660730361938},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6401517987251282},{"id":"https://openalex.org/keywords/credibility","display_name":"Credibility","score":0.6074155569076538},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6049756407737732},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5935041308403015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5830389857292175},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.5559007525444031},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.5508038997650146},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.537045419216156},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4499902129173279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18206509947776794},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1751222014427185},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09299838542938232}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6999660730361938},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6401517987251282},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.6074155569076538},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6049756407737732},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5935041308403015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5830389857292175},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.5559007525444031},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.5508038997650146},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.537045419216156},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4499902129173279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18206509947776794},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1751222014427185},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09299838542938232},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3290420.3290439","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290420.3290439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Communication and Information Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1924873903","https://openalex.org/W2060584329","https://openalex.org/W2162631695","https://openalex.org/W2522628453","https://openalex.org/W2537684744","https://openalex.org/W2546978165","https://openalex.org/W2731548645","https://openalex.org/W2759580503","https://openalex.org/W2768727563","https://openalex.org/W2779618876","https://openalex.org/W2953711599","https://openalex.org/W4237533755","https://openalex.org/W4248434182"],"related_works":["https://openalex.org/W2388687352","https://openalex.org/W2370187191","https://openalex.org/W1990162851","https://openalex.org/W2369854048","https://openalex.org/W2374291020","https://openalex.org/W2355907197","https://openalex.org/W3171042291","https://openalex.org/W2390961115","https://openalex.org/W2952745759","https://openalex.org/W2069948527"],"abstract_inverted_index":{"For":[0],"problems":[1],"of":[2,21,93],"eigenvalue-based":[3],"dual":[4,24,52,124],"thresholds":[5,53,125],"spectrum":[6,28,55],"sensing":[7,29,40,56,95],"algorithms":[8,126],"overlooking":[9],"the":[10,39,82,85,91,117],"reliability":[11],"difference":[12,44],"between":[13,45],"second":[14],"users":[15],"(SU)":[16],"and":[17,47,75,97,100,114],"its":[18],"high":[19],"expense":[20],"decisions,":[22],"a":[23,51,69],"threshold":[25],"DMM":[26,54],"cooperative":[27],"algorithm":[30,57],"(DT-CDMM)":[31],"based":[32,58],"on":[33,43,59],"credibility":[34],"was":[35,63,78,88,107],"proposed":[36,110],"to":[37,80,109],"improve":[38],"performance.":[41],"Based":[42],"maximum":[46],"minimum":[48],"eigenvaluealgorithm":[49],"(DMM),":[50],"limiting":[60],"eigenvalue":[61],"distribution":[62],"used":[64],"as":[65],"SU's":[66,94],"local":[67,98],"sensing,":[68],"triggered":[70],"mechanism":[71],"combined":[72],"with":[73,127],"soft":[74],"hard":[76,105],"decisions":[77,106],"established":[79],"cut":[81],"system":[83],"expenses,":[84],"final":[86],"decision":[87],"obtained":[89],"via":[90],"weighting":[92],"performance":[96,120],"credibility,":[99],"an":[101],"self-adaption":[102],"compensation":[103],"for":[104],"applied":[108],"algorithm.":[111],"Theory":[112],"analysis":[113],"simulations":[115],"shown":[116],"DT-CDMM":[118],"has":[119],"improvement":[121],"over":[122],"classical":[123],"noise":[128],"uncertainty.":[129]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}