{"id":"https://openalex.org/W2019698171","doi":"https://doi.org/10.1145/1837856.1837879","title":"Performance analysis of an unslotted CSMA in the multi-channel cognitive radio networks","display_name":"Performance analysis of an unslotted CSMA in the multi-channel cognitive radio networks","publication_year":2010,"publication_date":"2010-07-24","ids":{"openalex":"https://openalex.org/W2019698171","doi":"https://doi.org/10.1145/1837856.1837879","mag":"2019698171"},"language":"en","primary_location":{"id":"doi:10.1145/1837856.1837879","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1837856.1837879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Queueing Theory and Network Applications","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/A5102739965","display_name":"Dong Zhu","orcid":"https://orcid.org/0000-0002-7852-8521"},"institutions":[{"id":"https://openalex.org/I1793135","display_name":"Yanbian University","ror":"https://ror.org/039xnh269","country_code":"CN","type":"education","lineage":["https://openalex.org/I1793135"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dong Bi Zhu","raw_affiliation_strings":["YanBian University, YanJi, China","YanBian University, YanJi, China#TAB#"],"affiliations":[{"raw_affiliation_string":"YanBian University, YanJi, China","institution_ids":["https://openalex.org/I1793135"]},{"raw_affiliation_string":"YanBian University, YanJi, China#TAB#","institution_ids":["https://openalex.org/I1793135"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100713839","display_name":"Jin\u2010Soo Park","orcid":"https://orcid.org/0000-0003-4487-946X"},"institutions":[{"id":"https://openalex.org/I101155339","display_name":"Korea Telecom (South Korea)","ror":"https://ror.org/043n4tt17","country_code":"KR","type":"company","lineage":["https://openalex.org/I101155339"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin Soo Park","raw_affiliation_strings":["Central R&amp;D Laboratories, KT, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Central R&amp;D Laboratories, KT, Seoul, Korea","institution_ids":["https://openalex.org/I101155339"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113707256","display_name":"Bong Dae Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Bong Dae Choi","raw_affiliation_strings":["Korea University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102739965"],"corresponding_institution_ids":["https://openalex.org/I1793135"],"apc_list":null,"apc_paid":null,"fwci":1.4245,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81960703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"156","last_page":"161"},"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":0.9962999820709229,"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"}},{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":0.9959999918937683,"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/channel","display_name":"Channel (broadcasting)","score":0.7190232872962952},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.6560142040252686},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.6425713300704956},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6308421492576599},{"id":"https://openalex.org/keywords/idle","display_name":"Idle","score":0.6136757135391235},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.6003190279006958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5943507552146912},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5326223969459534},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4978358745574951},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.491915225982666},{"id":"https://openalex.org/keywords/carrier-sense-multiple-access-with-collision-avoidance","display_name":"Carrier sense multiple access with collision avoidance","score":0.4346143305301666},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3670101761817932},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23677104711532593},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.2294672429561615},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17625263333320618},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1481505036354065},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.13896793127059937},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09459483623504639}],"concepts":[{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.7190232872962952},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.6560142040252686},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.6425713300704956},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6308421492576599},{"id":"https://openalex.org/C16320812","wikidata":"https://www.wikidata.org/wiki/Q1812200","display_name":"Idle","level":2,"score":0.6136757135391235},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6003190279006958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5943507552146912},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5326223969459534},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4978358745574951},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.491915225982666},{"id":"https://openalex.org/C59229178","wikidata":"https://www.wikidata.org/wiki/Q944633","display_name":"Carrier sense multiple access with collision avoidance","level":4,"score":0.4346143305301666},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3670101761817932},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23677104711532593},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2294672429561615},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17625263333320618},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1481505036354065},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.13896793127059937},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09459483623504639},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1837856.1837879","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1837856.1837879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Queueing Theory and Network Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1987793633","https://openalex.org/W2046439604","https://openalex.org/W2101640072","https://openalex.org/W2129559079","https://openalex.org/W2137360281","https://openalex.org/W2144369278","https://openalex.org/W2150563533","https://openalex.org/W2153831889","https://openalex.org/W2156433293"],"related_works":["https://openalex.org/W2974485871","https://openalex.org/W1577119738","https://openalex.org/W2559261346","https://openalex.org/W2908872315","https://openalex.org/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2413828414","https://openalex.org/W2367222340","https://openalex.org/W2998300258"],"abstract_inverted_index":{"In":[0,305],"this":[1,192],"paper,":[2],"we":[3,246],"analyze":[4],"an":[5,259],"unslotted":[6,39,193,260,291],"carrier":[7],"sense":[8],"multiple":[9],"access(CSMA)":[10],"in":[11,90,290],"multi-channel":[12,37],"cognitive":[13],"radio":[14],"networks.":[15],"The":[16,36],"usage":[17],"pattern":[18],"of":[19,171,215,233,243,250,280,288,301,309],"a":[20,58,61,77,80,124,236,248,269],"channel":[21,34,95,129,145,237],"by":[22,99,198,274],"the":[23,67,83,94,103,112,128,131,138,141,144,147,155,161,172,176,182,211,216,230,239,286,298,307],"primary":[24],"users(PUs)":[25],"follows":[26],"On/Off":[27],"process":[28],"and":[29,75,117,149,181,209,238,257],"is":[30,41,186,316],"independent":[31],"with":[32,195,203,262,293,311,321],"other's":[33],"activities.":[35],"based":[38],"CSMA":[40,194,261,292],"operated":[42],"as":[43,188,229,297],"follows.":[44],"Each":[45],"secondary":[46],"user(SU)":[47],"senses":[48,119,150,271],"all":[49,51,120,151,196,255,314],"channels(called":[50],"sensing)":[52,315],"when":[53],"SU":[54,62,68,84,104,113,132,142,156,162,177,270],"wants":[55],"to":[56,86,92,115,127,146,164,179],"send":[57],"packet.":[59,78],"If":[60,102,154],"finds":[63,157],"idle":[64,109,158,173],"channels,":[65,110,159,174],"then":[66,111,118,140,160],"selects":[69],"randomly":[70],"one":[71,100,170],"among":[72,277],"those":[73],"channels":[74,121,152,273,303],"transmits":[76],"After":[79],"packet":[81,135,168,184],"transmission,":[82],"goes":[85,114,178],"exponential":[87],"distributed":[88],"vacation":[89,116,180],"order":[91],"prevent":[93],"being":[96],"exclusively":[97],"used":[98],"SU.":[101],"does":[105],"not":[106],"find":[107],"any":[108],"again.":[122],"When":[123],"PU":[125,148],"returns":[126],"before":[130],"finishes":[133],"its":[134,166],"transmission":[136,185],"on":[137,169],"channel,":[139],"vacates":[143],"immediately.":[153],"continues":[163],"transmit":[165],"current":[167],"otherwise,":[175],"SU's":[183],"regarded":[187],"unsuccessful.":[189],"We":[190,223],"model":[191],"sensing":[197,256,302],"continuous":[199],"time":[200],"Markov":[201,217],"chain(CTMC)":[202],"Level":[204],"Dependent":[205],"Finite":[206],"QBD":[207],"structure":[208],"obtain":[210,224],"steady":[212],"state":[213],"probability":[214,242],"chain":[218],"using":[219],"matrix":[220],"analytic":[221],"method.":[222],"several":[225],"performance":[226],"measures":[227],"such":[228],"normalized":[231],"throughput":[232,287,308],"SUs":[234,289,310],"per":[235],"forced":[240],"termination":[241],"SUs.":[244],"Next,":[245],"introduce":[247],"concept":[249],"random":[251,263,275,294,312,322,324],"m-sensing":[252,266,295],"which":[253],"generalizes":[254],"investigate":[258],"m-sensing.":[264],"Random":[265],"means":[267],"that":[268,285,320],"m":[272,300],"selection":[276],"number":[278,299],"M":[279],"channels.":[281],"Numerical":[282],"results":[283],"show":[284],"increases":[296],"increases.":[304],"particular,":[306],"M-sensing(i.e.,":[313],"much":[317],"larger":[318],"than":[319],"1-sensing(i.e.,":[323],"sensing).":[325]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
