{"id":"https://openalex.org/W7139046595","doi":"https://doi.org/10.1109/globecom59602.2025.11432601","title":"An Adaptive Loss Function for the Block Error Rate Optimization in Channel Autoencoders","display_name":"An Adaptive Loss Function for the Block Error Rate Optimization in Channel Autoencoders","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W7139046595","doi":"https://doi.org/10.1109/globecom59602.2025.11432601"},"language":null,"primary_location":{"id":"doi:10.1109/globecom59602.2025.11432601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom59602.2025.11432601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2025 - 2025 IEEE Global Communications Conference","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/A5026372203","display_name":"Karl Chahine","orcid":"https://orcid.org/0000-0003-1701-8293"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karl Chahine","raw_affiliation_strings":["University of Texas,Department of Electrical and Computer Engineering,Austin,TX,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas,Department of Electrical and Computer Engineering,Austin,TX,USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088051341","display_name":"Mohammad Vahid Jamali","orcid":"https://orcid.org/0000-0002-5007-0221"},"institutions":[{"id":"https://openalex.org/I100625452","display_name":"ON Semiconductor (United States)","ror":"https://ror.org/03nw6pt28","country_code":"US","type":"company","lineage":["https://openalex.org/I100625452"]},{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Mohammad Vahid Jamali","raw_affiliation_strings":["Samsung Semiconductor, Inc.,SOC Lab,San Diego,CA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Semiconductor, Inc.,SOC Lab,San Diego,CA,USA","institution_ids":["https://openalex.org/I100625452","https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027932348","display_name":"Hamid Saber","orcid":"https://orcid.org/0000-0002-4418-5866"},"institutions":[{"id":"https://openalex.org/I100625452","display_name":"ON Semiconductor (United States)","ror":"https://ror.org/03nw6pt28","country_code":"US","type":"company","lineage":["https://openalex.org/I100625452"]},{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Hamid Saber","raw_affiliation_strings":["Samsung Semiconductor, Inc.,SOC Lab,San Diego,CA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Semiconductor, Inc.,SOC Lab,San Diego,CA,USA","institution_ids":["https://openalex.org/I100625452","https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046180915","display_name":"Jung Hyun Bae","orcid":null},"institutions":[{"id":"https://openalex.org/I100625452","display_name":"ON Semiconductor (United States)","ror":"https://ror.org/03nw6pt28","country_code":"US","type":"company","lineage":["https://openalex.org/I100625452"]},{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Jung Hyun Bae","raw_affiliation_strings":["Samsung Semiconductor, Inc.,SOC Lab,San Diego,CA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Semiconductor, Inc.,SOC Lab,San Diego,CA,USA","institution_ids":["https://openalex.org/I100625452","https://openalex.org/I2250650973"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.83179127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1220","last_page":"1225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9807000160217285,"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"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9807000160217285,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.002899999963119626,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.002199999988079071,"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/block-error-rate","display_name":"Block Error Rate","score":0.8410999774932861},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5415999889373779},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.5188999772071838},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5091000199317932},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.46140000224113464},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4325000047683716},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4000000059604645},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3894999921321869},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.36480000615119934}],"concepts":[{"id":"https://openalex.org/C2776639698","wikidata":"https://www.wikidata.org/wiki/Q4927140","display_name":"Block Error Rate","level":3,"score":0.8410999774932861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7638999819755554},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5662999749183655},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5415999889373779},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.5188999772071838},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5091000199317932},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.46140000224113464},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4325000047683716},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4000000059604645},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3894999921321869},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.36480000615119934},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3643999993801117},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.361299991607666},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.350600004196167},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.350600004196167},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.3400999903678894},{"id":"https://openalex.org/C114504821","wikidata":"https://www.wikidata.org/wiki/Q2164281","display_name":"Turbo code","level":3,"score":0.32330000400543213},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C202286095","wikidata":"https://www.wikidata.org/wiki/Q579262","display_name":"Error function","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.3181000053882599},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.3043999969959259},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.273499995470047},{"id":"https://openalex.org/C2987812609","wikidata":"https://www.wikidata.org/wiki/Q194158","display_name":"Bit rate","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2535000145435333},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom59602.2025.11432601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom59602.2025.11432601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2025 - 2025 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2121606987","https://openalex.org/W2167657277","https://openalex.org/W2584943905","https://openalex.org/W2666368276","https://openalex.org/W2922367577","https://openalex.org/W2963190722","https://openalex.org/W2963408914","https://openalex.org/W3217707044","https://openalex.org/W4290996380","https://openalex.org/W4312525149","https://openalex.org/W4315605957","https://openalex.org/W4323521002","https://openalex.org/W4372266497","https://openalex.org/W7133205069"],"related_works":[],"abstract_inverted_index":{"Designing":[0],"robust":[1],"and":[2,100,209,221],"efficient":[3],"codes":[4,22,36],"for":[5,70,168,183],"reliable":[6],"communication":[7,229],"in":[8,28,74],"noisy":[9],"environments":[10],"is":[11,57,129],"a":[12,67,138,180,204],"key":[13],"challenge.":[14],"Recent":[15],"advancements":[16],"show":[17,107,212],"that":[18,108,213],"deep":[19],"learning-based":[20],"channel":[21,91],"can":[23],"outperform":[24],"traditional":[25],"handcrafted":[26],"ones":[27],"certain":[29],"scenarios.":[30],"Despite":[31],"recent":[32],"advancements,":[33],"most":[34],"state-of-the-art":[35],"are":[37],"trained":[38],"using":[39],"the":[40,97,101,109,116,122,130,143,157,161,175,184,195,222],"binary":[41],"cross-entropy":[42],"(BCE)":[43],"loss,":[44,125,147],"L<inf":[45,148,214,218],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[46,149,215,219],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">BCE</inf>,":[47],"which":[48,151],"aims":[49],"to":[50,89,94,121,172],"optimize":[51],"bit":[52,162,188,196],"error":[53,63,158],"rate":[54,64],"(BER)":[55],"but":[56],"less":[58],"effective":[59,167],"at":[60],"minimizing":[61],"block":[62],"(BLER)":[65],"\u2013":[66],"critical":[68],"metric":[69,132],"avoiding":[71],"costly":[72],"re-transmissions":[73],"wireless":[75],"systems.":[76],"To":[77],"address":[78],"this":[79],"limitation,":[80],"we":[81,136,211],"first":[82],"apply":[83],"several":[84],"recently-proposed":[85],"BLER-specific":[86],"loss":[87,113,140,177,225],"functions":[88,114,226],"train":[90],"autoencoders,":[92,119],"i.e.,":[93],"design":[95,117],"both":[96],"neural":[98,103],"encoder":[99],"matched":[102],"decoder.":[104],"Our":[105],"results":[106],"application":[110],"of":[111,118,133,201,207],"such":[112],"improves":[115],"compared":[120],"conventional":[123],"BCE":[124],"especially":[126],"when":[127],"BLER":[128,169],"performance":[131],"interest.":[134],"Next,":[135],"introduce":[137],"novel":[139],"function,":[141],"called":[142],"adaptively-scaled":[144],"norm":[145],"(ASN)":[146],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">ASN</inf>,":[150],"dynamically":[152],"adjusts":[153],"penalties":[154],"based":[155],"on":[156,194],"rates":[159],"across":[160,227],"positions,":[163],"making":[164],"it":[165],"more":[166,193],"minimization.":[170],"Compared":[171],"existing":[173,223],"methods,":[174],"proposed":[176],"function":[178],"promotes":[179],"lower":[181],"variance":[182],"contribution":[185],"from":[186],"different":[187],"positions":[189,197],"while":[190],"still":[191],"emphasizing":[192],"with":[198],"higher":[199],"chances":[200],"error.":[202],"Using":[203],"two-step":[205],"process":[206],"pre-training":[208],"fine-tuning,":[210],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">ASN</inf>":[216],"outperforms":[217],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">BCE</inf>":[220],"BLER-minimizing":[224],"various":[228],"channels.":[230]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-20T00:00:00"}
