{"id":"https://openalex.org/W4405936036","doi":"https://doi.org/10.1109/lcomm.2024.3524888","title":"Integrated Communication and Bayesian Estimation of Fixed Channel States","display_name":"Integrated Communication and Bayesian Estimation of Fixed Channel States","publication_year":2024,"publication_date":"2024-12-31","ids":{"openalex":"https://openalex.org/W4405936036","doi":"https://doi.org/10.1109/lcomm.2024.3524888"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2024.3524888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2024.3524888","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","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/A5023628665","display_name":"Daewon Seo","orcid":"https://orcid.org/0000-0002-0509-5278"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Daewon Seo","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea","institution_ids":["https://openalex.org/I193352282"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023628665"],"corresponding_institution_ids":["https://openalex.org/I193352282"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28426646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":"3","first_page":"477","last_page":"481"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.7335000038146973,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.7335000038146973,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.6916999816894531,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10320","display_name":"Neural Networks and Applications","score":0.6841999888420105,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.6301836371421814},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5679052472114563},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5411344170570374},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4109104871749878},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37513625621795654},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3447154760360718},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.33141130208969116},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3276787996292114},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2977127730846405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2746339738368988}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6301836371421814},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5679052472114563},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5411344170570374},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4109104871749878},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37513625621795654},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3447154760360718},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.33141130208969116},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3276787996292114},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2977127730846405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2746339738368988},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2024.3524888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2024.3524888","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1536252645","https://openalex.org/W2024973676","https://openalex.org/W2165709293","https://openalex.org/W2478708596","https://openalex.org/W2988362367","https://openalex.org/W3006143078","https://openalex.org/W3155535021","https://openalex.org/W3191750312","https://openalex.org/W4200634239","https://openalex.org/W4302366875","https://openalex.org/W4376481083","https://openalex.org/W4376481112","https://openalex.org/W4379983385","https://openalex.org/W4385222745","https://openalex.org/W4400275636","https://openalex.org/W4400276051","https://openalex.org/W6779330150"],"related_works":["https://openalex.org/W2576994247","https://openalex.org/W2608353378","https://openalex.org/W4249206767","https://openalex.org/W2563559453","https://openalex.org/W2382330008","https://openalex.org/W2111375262","https://openalex.org/W1519970947","https://openalex.org/W4243860260","https://openalex.org/W2317728013","https://openalex.org/W4252076617"],"abstract_inverted_index":{"This":[0],"work":[1],"studies":[2],"an":[3,8],"information-theoretic":[4],"performance":[5,34],"limit":[6],"of":[7,18,50,89,127],"integrated":[9],"sensing":[10,19,140],"and":[11,75,107,115],"communication":[12],"(ISAC)":[13],"system":[14],"where":[15],"the":[16,28,36,51,54,69,76,80,90,102,108,119,128],"goal":[17],"is":[20,42,56,94],"to":[21],"estimate":[22],"a":[23,48,86,124,131],"random":[24],"continuous":[25],"state.":[26],"Considering":[27],"mean-squared":[29],"error":[30],"(MSE)":[31],"for":[32,63,96],"estimation":[33,133],"metric,":[35],"Bayesian":[37],"Cram\u00e9r-Rao":[38],"lower":[39],"bound":[40],"(BCRB)":[41],"widely":[43],"used":[44],"in":[45,130,138],"literature":[46],"as":[47,99,101],"proxy":[49],"MSE;":[52],"however,":[53],"BCRB":[55,83],"not":[57],"generally":[58],"tight":[59,82],"even":[60],"asymptotically":[61,81],"except":[62],"restrictive":[64],"distributions.":[65],"Instead,":[66],"we":[67],"characterize":[68],"full":[70],"tradeoff":[71,129],"between":[72],"information":[73],"rate":[74],"exact":[77],"MSE":[78],"using":[79],"(ATBCRB)":[84],"analysis,":[85],"recent":[87],"variant":[88],"BCRB.":[91],"Our":[92],"characterization":[93],"applicable":[95],"general":[97],"channels":[98],"long":[100],"regularity":[103],"conditions":[104],"are":[105],"met,":[106],"proof":[109],"relies":[110],"on":[111],"constant":[112],"composition":[113],"codes":[114],"ATBCRB":[116],"analysis":[117],"with":[118],"codes.":[120],"We":[121],"also":[122],"perform":[123],"numerical":[125],"evaluation":[126],"variance":[132],"example,":[134],"which":[135],"commonly":[136],"arises":[137],"spectrum":[139],"scenarios.":[141]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}