{"id":"https://openalex.org/W2043423066","doi":"https://doi.org/10.1109/ciss.2013.6552267","title":"Greedy confidence bound techniques for restless multi-armed bandit based Cognitive Radio","display_name":"Greedy confidence bound techniques for restless multi-armed bandit based Cognitive Radio","publication_year":2013,"publication_date":"2013-03-01","ids":{"openalex":"https://openalex.org/W2043423066","doi":"https://doi.org/10.1109/ciss.2013.6552267","mag":"2043423066"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2013.6552267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2013.6552267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 47th Annual Conference on Information Sciences and Systems (CISS)","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/A5032243328","display_name":"Shuyan Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Shuyan Dong","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Seoul National University, Seoul, South Korea","Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ. Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ. Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100376261","display_name":"Jungwoo Lee","orcid":"https://orcid.org/0000-0002-6804-980X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungwoo Lee","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Seoul National University, Seoul, South Korea","Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ. Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ. Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032243328"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.13876583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9858999848365784,"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":0.8649475574493408},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.67049640417099},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.6686979532241821},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.585867702960968},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.575705885887146},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5728079676628113},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5041855573654175},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4550229012966156},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.45387381315231323},{"id":"https://openalex.org/keywords/multi-armed-bandit","display_name":"Multi-armed bandit","score":0.43791598081588745},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3926347494125366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32384437322616577},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2648833990097046},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2057945430278778},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14530500769615173},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.12575161457061768},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09005585312843323}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.8649475574493408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67049640417099},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6686979532241821},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.585867702960968},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.575705885887146},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5728079676628113},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5041855573654175},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4550229012966156},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.45387381315231323},{"id":"https://openalex.org/C123197309","wikidata":"https://www.wikidata.org/wiki/Q2882343","display_name":"Multi-armed bandit","level":3,"score":0.43791598081588745},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3926347494125366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32384437322616577},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2648833990097046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2057945430278778},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14530500769615173},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.12575161457061768},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09005585312843323},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss.2013.6552267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2013.6552267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 47th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W131745075","https://openalex.org/W1978087130","https://openalex.org/W2003798390","https://openalex.org/W2056921512","https://openalex.org/W2105556121","https://openalex.org/W2141515329","https://openalex.org/W2142819538","https://openalex.org/W2548136926","https://openalex.org/W2951678875","https://openalex.org/W2962764550"],"related_works":["https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W1531601525","https://openalex.org/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2413828414","https://openalex.org/W2367222340","https://openalex.org/W2216728027"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"deal":[4],"with":[5,32,55],"Bayesian":[6],"restless":[7],"multi-armed":[8],"bandit":[9],"(RMAB)":[10],"techniques":[11],"which":[12,26,86],"are":[13,21,69],"appliced":[14],"to":[15,38,49],"Cognitive":[16],"Radio.":[17],"We":[18,58,71],"assume":[19],"there":[20],"multiple":[22,56],"arms,":[23],"each":[24,45],"of":[25,65],"evolves":[27],"as":[28],"a":[29,73],"Markov":[30,67],"chain":[31,68],"known":[33],"parameters.":[34],"A":[35],"player":[36],"seeks":[37],"activate":[39],"more":[40],"than":[41,89],"one":[42],"arms":[43],"at":[44],"time":[46],"in":[47],"order":[48],"maximize":[50],"the":[51,63,66],"expected":[52],"total":[53],"reward":[54],"plays.":[57],"consider":[59],"non-Bayesian":[60],"RMAB":[61],"where":[62],"parameters":[64],"unknown.":[70],"propose":[72],"simple":[74],"but":[75],"effective":[76],"algorithm":[77,83],"called":[78],"two-slot":[79],"greedy":[80],"confidence":[81,92],"bound":[82,93],"(Two-slot":[84],"GCB),":[85],"perform":[87],"better":[88],"existing":[90],"upper":[91],"(UCB)":[94],"algorithms.":[95]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}