{"id":"https://openalex.org/W2101469228","doi":"https://doi.org/10.1109/wcnc.2009.4917609","title":"Bayesian Inference for Multiple Antenna Cognitive Receivers","display_name":"Bayesian Inference for Multiple Antenna Cognitive Receivers","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2101469228","doi":"https://doi.org/10.1109/wcnc.2009.4917609","mag":"2101469228"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc.2009.4917609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2009.4917609","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Wireless Communications and Networking Conference","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/A5021257434","display_name":"Romain Couillet","orcid":"https://orcid.org/0000-0001-5755-2090"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Romain Couillet","raw_affiliation_strings":["ST-NXP Wireless, Sophia-Antipolis, France","ST-NXP Wireless, Sup\u00e9lec, Sophia Antipolis, France#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ST-NXP Wireless, Sophia-Antipolis, France","institution_ids":[]},{"raw_affiliation_string":"ST-NXP Wireless, Sup\u00e9lec, Sophia Antipolis, France#TAB#","institution_ids":["https://openalex.org/I102475099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056145687","display_name":"M\u00e9rouane Debbah","orcid":"https://orcid.org/0000-0001-8941-8080"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I1322087612","display_name":"Alcatel Lucent (Germany)","ror":"https://ror.org/00c5mwp75","country_code":"DE","type":"company","lineage":["https://openalex.org/I1322087612"]}],"countries":["DE","FR"],"is_corresponding":false,"raw_author_name":"Merouane Debbah","raw_affiliation_strings":["Sup\u00e9lec3 rue Joliot-Curie, Alcatel-Lucent, Gif-sur-Yvette, France","[Alcatel-Lucent Chair - SUPELEC, Gif-sur-Yvette, France]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sup\u00e9lec3 rue Joliot-Curie, Alcatel-Lucent, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I102475099"]},{"raw_affiliation_string":"[Alcatel-Lucent Chair - SUPELEC, Gif-sur-Yvette, France]","institution_ids":["https://openalex.org/I1322087612"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","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/computer-science","display_name":"Computer science","score":0.7098899483680725},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5951504111289978},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5714011192321777},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5548756122589111},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.5274900197982788},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5187573432922363},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.47340095043182373},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.4231995940208435},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4218495190143585},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4187315106391907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4010954797267914},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36216628551483154},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20737770199775696}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7098899483680725},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5951504111289978},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5714011192321777},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5548756122589111},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.5274900197982788},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5187573432922363},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.47340095043182373},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.4231995940208435},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4218495190143585},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4187315106391907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4010954797267914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36216628551483154},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20737770199775696},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc.2009.4917609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2009.4917609","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Wireless Communications and Networking Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5899999737739563,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1509562192","https://openalex.org/W1553514399","https://openalex.org/W1604058331","https://openalex.org/W1945674169","https://openalex.org/W1995097429","https://openalex.org/W2006681603","https://openalex.org/W2018490621","https://openalex.org/W2025130480","https://openalex.org/W2031211320","https://openalex.org/W2072184935","https://openalex.org/W2095393613","https://openalex.org/W2098971218","https://openalex.org/W2104621895","https://openalex.org/W2125399603","https://openalex.org/W2136816673","https://openalex.org/W2155999145","https://openalex.org/W2164701487","https://openalex.org/W2168078104","https://openalex.org/W2764325391","https://openalex.org/W4299551239","https://openalex.org/W4300565913","https://openalex.org/W6636129609","https://openalex.org/W6678667002","https://openalex.org/W6745097508"],"related_works":["https://openalex.org/W2372267530","https://openalex.org/W2969189870","https://openalex.org/W3015855446","https://openalex.org/W4303857162","https://openalex.org/W2965643117","https://openalex.org/W4288266653","https://openalex.org/W2407375987","https://openalex.org/W2505726097","https://openalex.org/W2950975704","https://openalex.org/W2010643158"],"abstract_inverted_index":{"In":[0,12],"this":[1],"paper,":[2],"we":[3,14],"provide":[4],"a":[5,54,102],"Bayesian":[6,104,128],"learning":[7,28],"process":[8],"for":[9],"cognitive":[10],"devices.":[11],"particular":[13,62],"focus":[15],"on":[16,36],"the":[17,27,37,61,71,75,82,95,111,117,122,126],"case":[18],"of":[19,34,64,68,73,77],"signal":[20,105],"detection":[21],"as":[22],"an":[23,40],"explanatory":[24],"example":[25],"to":[26,46,91,101,110],"framework.":[29,129],"Under":[30],"any":[31],"prior":[32],"state":[33],"knowledge":[35,69],"communication":[38],"channel,":[39],"information":[41],"theoretic":[42],"criterion":[43],"is":[44,51,89,108],"presented":[45],"decide":[47],"if":[48],"informative":[49],"data":[50],"present":[52],"in":[53],"noisy":[55],"wireless":[56,96],"MIMO":[57],"communication.":[58],"We":[59],"detail":[60],"cases":[63],"knowledge,":[65],"or":[66],"absence":[67],"at":[70],"receiver,":[72],"(i)":[74],"number":[76],"transmit":[78],"antennas":[79],"and":[80,98,120],"(ii)":[81],"effective":[83],"noise":[84],"power.":[85],"The":[86],"provided":[87],"method":[88],"instrumental":[90],"embed":[92],"intelligence":[93],"into":[94],"device":[97],"gives":[99],"birth":[100],"novel":[103],"detector":[106],"which":[107],"compared":[109],"classical":[112],"power":[113],"detector.":[114],"Simulations":[115],"corroborate":[116],"theoretical":[118],"results":[119],"quantify":[121],"gain":[123],"achieved":[124],"by":[125],"proposed":[127]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}