{"id":"https://openalex.org/W2540906236","doi":"https://doi.org/10.1109/chinacom.2011.6158152","title":"Cognitive Radio adaptation decision engine based on binary quantum-behaved particle swarm optimization","display_name":"Cognitive Radio adaptation decision engine based on binary quantum-behaved particle swarm optimization","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2540906236","doi":"https://doi.org/10.1109/chinacom.2011.6158152","mag":"2540906236"},"language":"en","primary_location":{"id":"doi:10.1109/chinacom.2011.6158152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinacom.2011.6158152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 6th International ICST Conference on Communications and Networking in China (CHINACOM)","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/A5101667422","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0002-3192-0358"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, MOE, Wireless Network Lab, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, MOE, Wireless Network Lab, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009089087","display_name":"Zheng Zhou","orcid":"https://orcid.org/0000-0002-7485-1030"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Zhou","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, MOE, Wireless Network Lab, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, MOE, Wireless Network Lab, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064910130","display_name":"Wanxin Gao","orcid":"https://orcid.org/0000-0002-3863-9366"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanxin Gao","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, MOE, Wireless Network Lab, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, MOE, Wireless Network Lab, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102210273","display_name":"Yingjie Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjie Ma","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, MOE, Wireless Network Lab, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, MOE, Wireless Network Lab, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107004221","display_name":"Yabin Ye","orcid":"https://orcid.org/0000-0002-9111-0867"},"institutions":[{"id":"https://openalex.org/I4210129353","display_name":"Huawei Technologies (Germany)","ror":"https://ror.org/038cdme44","country_code":"DE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yabin Ye","raw_affiliation_strings":["European Research Center, Huawei Technologies Duesseldorf GmbH, Germany"],"affiliations":[{"raw_affiliation_string":"European Research Center, Huawei Technologies Duesseldorf GmbH, Germany","institution_ids":["https://openalex.org/I4210129353"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101667422"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.7002,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75816975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"221","last_page":"225"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9966999888420105,"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":0.9959999918937683,"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/cognitive-radio","display_name":"Cognitive radio","score":0.821891188621521},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7272072434425354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7080941200256348},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6023656725883484},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5701413154602051},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.4826520085334778},{"id":"https://openalex.org/keywords/binary-decision-diagram","display_name":"Binary decision diagram","score":0.4824431538581848},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4204555153846741},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.41933929920196533},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38299882411956787},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.1802506148815155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1556771993637085},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1489923596382141},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1263067126274109}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.821891188621521},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7272072434425354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7080941200256348},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6023656725883484},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5701413154602051},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.4826520085334778},{"id":"https://openalex.org/C3309909","wikidata":"https://www.wikidata.org/wiki/Q864155","display_name":"Binary decision diagram","level":2,"score":0.4824431538581848},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4204555153846741},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.41933929920196533},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38299882411956787},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.1802506148815155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1556771993637085},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1489923596382141},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1263067126274109},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/chinacom.2011.6158152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinacom.2011.6158152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 6th International ICST Conference on Communications and Networking in China (CHINACOM)","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":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1566399673","https://openalex.org/W1831322009","https://openalex.org/W2071707134","https://openalex.org/W2117131545","https://openalex.org/W2125213524","https://openalex.org/W2152195021","https://openalex.org/W2153812620","https://openalex.org/W2165382778","https://openalex.org/W2168078104","https://openalex.org/W2294392701","https://openalex.org/W2798333393","https://openalex.org/W4245808720"],"related_works":["https://openalex.org/W2006324351","https://openalex.org/W2965421953","https://openalex.org/W2349895019","https://openalex.org/W2116074880","https://openalex.org/W2070977815","https://openalex.org/W2950423922","https://openalex.org/W2121780490","https://openalex.org/W2137136732","https://openalex.org/W2972744589","https://openalex.org/W2132113279"],"abstract_inverted_index":{"Cognitive":[0,37],"Radio":[1,38],"decision":[2,39,119],"engine":[3,40],"is":[4],"a":[5,47,98],"key":[6],"technology":[7],"in":[8,101],"cognitive":[9,117],"communication":[10,25],"system.":[11],"It":[12],"can":[13,77,111],"optimize":[14,80],"transmission":[15],"parameters":[16],"according":[17],"to":[18],"the":[19,23,36,69,90,114],"environment,":[20],"and":[21,45,61,74,104],"obtain":[22],"desired":[24],"performance":[26,81,100,110],"through":[27],"multi-objective":[28],"optimization":[29,52,84,109],"algorithm.":[30],"In":[31],"this":[32],"paper,":[33],"we":[34],"analyze":[35],"based":[41],"on":[42,87],"OFDM":[43,88],"system,":[44,89],"introduce":[46],"binary":[48],"quantum-behaved":[49],"particle":[50],"swarm":[51],"algorithm":[53,96],"(BQPSO),":[54],"which":[55],"has":[56,68,97],"stronger":[57],"optimal":[58],"searching":[59],"ability":[60],"faster":[62],"convergence":[63],"speed.":[64],"Because":[65],"quantum":[66],"effect":[67],"excellent":[70],"characteristics":[71],"of":[72,116],"nonlinearity":[73],"uncertainty,":[75],"it":[76],"reach":[78],"better":[79],"than":[82],"other":[83],"algorithms.":[85],"Based":[86],"simulation":[91],"results":[92],"show":[93],"that":[94],"BQPSO":[95],"good":[99],"convergence,":[102],"speed,":[103],"average":[105],"fitness":[106],"value.":[107],"The":[108],"greatly":[112],"satisfy":[113],"demand":[115],"radio":[118],"engine.":[120]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
