{"id":"https://openalex.org/W3131255742","doi":"https://doi.org/10.1109/jsyst.2021.3056547","title":"Riemannian Distance-Based Fast K-Medoids Clustering Algorithm for Cooperative Spectrum Sensing","display_name":"Riemannian Distance-Based Fast K-Medoids Clustering Algorithm for Cooperative Spectrum Sensing","publication_year":2021,"publication_date":"2021-02-23","ids":{"openalex":"https://openalex.org/W3131255742","doi":"https://doi.org/10.1109/jsyst.2021.3056547","mag":"3131255742"},"language":"en","primary_location":{"id":"doi:10.1109/jsyst.2021.3056547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2021.3056547","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Systems Journal","raw_type":"journal-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/A5080241813","display_name":"Shunchao Zhang","orcid":"https://orcid.org/0000-0003-1303-1781"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunchao Zhang","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1303-1781","affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067632093","display_name":"Yonghua Wang","orcid":"https://orcid.org/0000-0002-0051-7224"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghua Wang","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0051-7224","affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675816","display_name":"Yongwei Zhang","orcid":"https://orcid.org/0000-0003-3381-6340"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongwei Zhang","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3381-6340","affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043598115","display_name":"Pin Wan","orcid":"https://orcid.org/0000-0002-4464-8007"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pin Wan","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4464-8007","affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081595730","display_name":"Jiawei Zhuang","orcid":"https://orcid.org/0000-0002-2240-3201"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Zhuang","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2240-3201","affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":3.1903,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.91797157,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"16","issue":"1","first_page":"880","last_page":"890"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9968000054359436,"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/cognitive-radio","display_name":"Cognitive radio","score":0.7033220529556274},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6278678774833679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6131125688552856},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5667258501052856},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4944179058074951},{"id":"https://openalex.org/keywords/riemannian-manifold","display_name":"Riemannian manifold","score":0.46668845415115356},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.43713444471359253},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4113856554031372},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3411688804626465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23603367805480957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20957154035568237},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.16269797086715698},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11962991952896118}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.7033220529556274},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6278678774833679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6131125688552856},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5667258501052856},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4944179058074951},{"id":"https://openalex.org/C2779593128","wikidata":"https://www.wikidata.org/wiki/Q632814","display_name":"Riemannian manifold","level":2,"score":0.46668845415115356},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.43713444471359253},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4113856554031372},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3411688804626465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23603367805480957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20957154035568237},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.16269797086715698},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11962991952896118},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsyst.2021.3056547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2021.3056547","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Systems Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7963557446","display_name":"\u57fa\u4e8e\u4fe1\u606f\u51e0\u4f55\u7684\u591a\u7ef4\u9891\u8c31\u611f\u77e5\u548c\u878d\u5408\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971147","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1969720927","https://openalex.org/W1986674444","https://openalex.org/W1993573682","https://openalex.org/W2006134199","https://openalex.org/W2013146406","https://openalex.org/W2033757065","https://openalex.org/W2043318570","https://openalex.org/W2052549846","https://openalex.org/W2059896646","https://openalex.org/W2065424480","https://openalex.org/W2087744791","https://openalex.org/W2101840010","https://openalex.org/W2107025582","https://openalex.org/W2118443009","https://openalex.org/W2119137700","https://openalex.org/W2129510251","https://openalex.org/W2136816673","https://openalex.org/W2146315101","https://openalex.org/W2150397642","https://openalex.org/W2494036272","https://openalex.org/W2520664327","https://openalex.org/W2585076554","https://openalex.org/W2597613627","https://openalex.org/W2766522006","https://openalex.org/W2766647418","https://openalex.org/W2790000061","https://openalex.org/W2790902314","https://openalex.org/W2808757601","https://openalex.org/W2885340258","https://openalex.org/W2886600306","https://openalex.org/W2908993293","https://openalex.org/W2914662441","https://openalex.org/W2922048928","https://openalex.org/W2955103784","https://openalex.org/W2963822954","https://openalex.org/W2969921726","https://openalex.org/W2971778960","https://openalex.org/W2991643289","https://openalex.org/W3000666963","https://openalex.org/W3014537413","https://openalex.org/W4245522700"],"related_works":["https://openalex.org/W1983811306","https://openalex.org/W2365093105","https://openalex.org/W3141040581","https://openalex.org/W2358742051","https://openalex.org/W2516405122","https://openalex.org/W2785644752","https://openalex.org/W2089848187","https://openalex.org/W2337631725","https://openalex.org/W2245610811","https://openalex.org/W2386315983"],"abstract_inverted_index":{"Spectrum":[0],"sensing":[1,28,79,97],"is":[2,31,49,60,75,157],"a":[3,7,20,54,69,91,119,128],"fundamental":[4],"component":[5],"in":[6],"cognitive":[8],"radio":[9],"network":[10],"to":[11,33,77,104,126],"utilize":[12],"the":[13,35,58,66,111,123,132,137,140,149,152],"frequency":[14],"bands":[15],"effectively.":[16],"In":[17,41,65],"this":[18],"article":[19],"fast":[21],"Riemannian":[22,70],"distance-based":[23],"K-medoids":[24],"(FRDK)-based":[25],"cooperative":[26],"spectrum":[27],"(CSS)":[29],"method":[30,74,156],"developed":[32],"identify":[34],"state":[36,133],"of":[37,134,143,151],"primary":[38],"user":[39],"(PU).":[40],"particular,":[42],"two":[43],"CSS":[44,155],"scenarios":[45],"are":[46,146],"considered,":[47],"one":[48],"secondary":[50],"users":[51],"(SUs)":[52],"with":[53,62,83],"single":[55],"antenna":[56],"and":[57,100,121,139],"other":[59],"SUs":[61,82,95],"multiple":[63,84],"antennas.":[64,85],"multiantenna":[67],"case,":[68],"mean-based":[71],"data":[72,80,103,115],"fusion":[73,107],"proposed":[76,153],"fuse":[78],"from":[81],"To":[86],"implement":[87],"CSS,":[88],"we":[89],"propose":[90],"FRDK-based":[92,154],"framework,":[93],"where":[94],"collect":[96],"data,":[98],"preprocess,":[99],"upload":[101],"these":[102,114],"an":[105],"appointed":[106],"center":[108],"(FC).":[109],"Then,":[110],"FC":[112],"transforms":[113],"as":[116],"samples":[117],"on":[118],"manifold":[120],"uses":[122],"FRDK":[124],"algorithm":[125],"train":[127],"classifier":[129],"for":[130],"identifying":[131],"PU.":[135],"Furthermore,":[136],"convergence":[138],"complexity":[141],"analysis":[142],"training":[144],"process":[145],"presented.":[147],"Finally,":[148],"effectiveness":[150],"verified":[158],"under":[159],"different":[160],"conditions.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}