{"id":"https://openalex.org/W4414538945","doi":"https://doi.org/10.1109/icc52391.2025.11161684","title":"Decision Feedback In-Context Symbol Detection Over Block-Fading Channels","display_name":"Decision Feedback In-Context Symbol Detection Over Block-Fading Channels","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414538945","doi":"https://doi.org/10.1109/icc52391.2025.11161684"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11161684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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/A5100616066","display_name":"Li Fan","orcid":"https://orcid.org/0000-0002-4880-3545"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Fan","raw_affiliation_strings":["University of Virginia,Department of Electrical and Computer Engineering,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Virginia,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101494726","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0001-8694-6646"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Yang","raw_affiliation_strings":["University of Virginia,Department of Electrical and Computer Engineering,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Virginia,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016749653","display_name":"Cong Shen","orcid":"https://orcid.org/0000-0002-3148-4453"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cong Shen","raw_affiliation_strings":["University of Virginia,Department of Electrical and Computer Engineering,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Virginia,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105934578","display_name":"Charles L. Brown","orcid":null},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles L. Brown","raw_affiliation_strings":["University of Virginia,Department of Electrical and Computer Engineering,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Virginia,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3785","last_page":"3790"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.7373999953269958,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.7373999953269958,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10320","display_name":"Neural Networks and Applications","score":0.6995000243186951,"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"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.6194999814033508,"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":0.6732000112533569},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.6694999933242798},{"id":"https://openalex.org/keywords/symbol","display_name":"Symbol (formal)","score":0.6624000072479248},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5752999782562256},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4104999899864197},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.362199991941452},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.3490999937057495}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7203999757766724},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6732000112533569},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.6694999933242798},{"id":"https://openalex.org/C134400042","wikidata":"https://www.wikidata.org/wiki/Q2372244","display_name":"Symbol (formal)","level":2,"score":0.6624000072479248},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5752999782562256},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4104999899864197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3928000032901764},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3815000057220459},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.362199991941452},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3303999900817871},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.290800005197525},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.2865000069141388},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.2824999988079071},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.27309998869895935},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.271699994802475},{"id":"https://openalex.org/C197264572","wikidata":"https://www.wikidata.org/wiki/Q2095206","display_name":"Pilot signal","level":3,"score":0.2619999945163727}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11161684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2208438621","display_name":null,"funder_award_id":"AST-2132700,CNS-2002902,ECCS-2029978","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1997834106","https://openalex.org/W2108815154","https://openalex.org/W2736402963","https://openalex.org/W2738538347","https://openalex.org/W2885033069","https://openalex.org/W2901240584","https://openalex.org/W3022312941","https://openalex.org/W3089389858","https://openalex.org/W3110675837","https://openalex.org/W3194939904","https://openalex.org/W4400228202","https://openalex.org/W4401509408","https://openalex.org/W4403183113","https://openalex.org/W4408324802"],"related_works":[],"abstract_inverted_index":{"Pre-trained":[0],"Transformers,":[1],"through":[2],"in-context":[3],"learning":[4],"(ICL),":[5],"have":[6,40],"demonstrated":[7],"exceptional":[8],"capabilities":[9],"to":[10,12,117],"adapt":[11],"new":[13,74],"tasks":[14],"using":[15,87],"example":[16],"prompts":[17,25,116],"without":[18],"model":[19],"update.":[20],"Transformer-based":[21],"wireless":[22,75,131],"receivers,":[23],"where":[24,107],"consist":[26],"of":[27,34,130],"the":[28,32,65,88,100,111,115,119],"pilot":[29,46,51,92,148],"data":[30,47],"in":[31,58,97,105,141],"form":[33],"transmitted":[35],"and":[36,56,82],"received":[37],"signal":[38],"pairs,":[39],"shown":[41],"high":[42],"estimation":[43,81],"accuracy":[44],"when":[45],"are":[48],"abundant.":[49],"However,":[50],"information":[52],"is":[53,99],"often":[54],"costly":[55],"limited":[57,91],"practice.":[59],"In":[60],"this":[61],"work,":[62],"we":[63,108],"propose":[64],"DEcision":[66],"Feedback":[67],"INContExt":[68],"Detection":[69],"(DEFINED)":[70],"solution":[71],"as":[72],"a":[73,127,146],"receiver":[76],"design,":[77],"which":[78],"bypasses":[79],"channel":[80],"directly":[83],"performs":[84],"symbol":[85],"detection":[86],"(sometimes":[89],"extremely)":[90],"data.":[93],"The":[94],"key":[95],"innovation":[96],"DEFINED":[98,136],"proposed":[101],"decision":[102],"feedback":[103],"mechanism":[104],"ICL,":[106],"sequentially":[109],"incorporate":[110],"detected":[112],"symbols":[113],"into":[114],"improve":[118],"detections":[120],"for":[121],"subsequent":[122],"symbols.":[123],"Extensive":[124],"experiments":[125],"across":[126],"broad":[128],"range":[129],"communication":[132],"settings":[133],"demonstrate":[134],"that":[135],"achieves":[137],"significant":[138],"performance":[139],"improvements,":[140],"some":[142],"cases":[143],"only":[144],"needing":[145],"single":[147],"pair.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
