{"id":"https://openalex.org/W4417282683","doi":"https://doi.org/10.1109/pimrc62392.2025.11274560","title":"A Novel Domain-Aware CNN Architecture for Faster-than-Nyquist Signaling Detection","display_name":"A Novel Domain-Aware CNN Architecture for Faster-than-Nyquist Signaling Detection","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4417282683","doi":"https://doi.org/10.1109/pimrc62392.2025.11274560"},"language":null,"primary_location":{"id":"doi:10.1109/pimrc62392.2025.11274560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc62392.2025.11274560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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/A5075759280","display_name":"Osman Tokluoglu","orcid":"https://orcid.org/0000-0001-8160-1307"},"institutions":[{"id":"https://openalex.org/I4210150808","display_name":"Ankara Y\u0131ld\u0131r\u0131m Beyaz\u0131t University","ror":"https://ror.org/05ryemn72","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210150808"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Osman Tokluoglu","raw_affiliation_strings":["Ankara Yildirim Beyazit University,Department of Electrical and Electronics Engineering,Ankara,Turkiye"],"affiliations":[{"raw_affiliation_string":"Ankara Yildirim Beyazit University,Department of Electrical and Electronics Engineering,Ankara,Turkiye","institution_ids":["https://openalex.org/I4210150808"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014604276","display_name":"Enver \u00c7avu\u015f","orcid":"https://orcid.org/0000-0002-7203-9700"},"institutions":[{"id":"https://openalex.org/I4210150808","display_name":"Ankara Y\u0131ld\u0131r\u0131m Beyaz\u0131t University","ror":"https://ror.org/05ryemn72","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210150808"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Enver Cavus","raw_affiliation_strings":["Ankara Yildirim Beyazit University,Department of Electrical and Electronics Engineering,Ankara,Turkiye"],"affiliations":[{"raw_affiliation_string":"Ankara Yildirim Beyazit University,Department of Electrical and Electronics Engineering,Ankara,Turkiye","institution_ids":["https://openalex.org/I4210150808"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103204374","display_name":"Ebrahim Bedeer","orcid":"https://orcid.org/0000-0001-6931-9595"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ebrahim Bedeer","raw_affiliation_strings":["University of Saskatchewan,Department of Electrical and Computer Engineering,Saskatoon,Canada"],"affiliations":[{"raw_affiliation_string":"University of Saskatchewan,Department of Electrical and Computer Engineering,Saskatoon,Canada","institution_ids":["https://openalex.org/I32625721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035446029","display_name":"Halim Yan\u0131k\u00f6mero\u011flu","orcid":"https://orcid.org/0000-0003-4776-9354"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Halim Yanikomeroglu","raw_affiliation_strings":["Carleton University,Department of System and Computer Engineering,Ottawa,Canada"],"affiliations":[{"raw_affiliation_string":"Carleton University,Department of System and Computer Engineering,Ottawa,Canada","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075759280"],"corresponding_institution_ids":["https://openalex.org/I4210150808"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43103905,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T11873","display_name":"PAPR reduction in OFDM","score":0.8012999892234802,"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"}},"topics":[{"id":"https://openalex.org/T11873","display_name":"PAPR reduction in OFDM","score":0.8012999892234802,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.1088000014424324,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.025299999862909317,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/intersymbol-interference","display_name":"Intersymbol interference","score":0.7354999780654907},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6503000259399414},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5220999717712402},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5180000066757202},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.4986000061035156},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.46650001406669617},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.3896999955177307},{"id":"https://openalex.org/keywords/matched-filter","display_name":"Matched filter","score":0.3865000009536743},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.3671000003814697}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7699999809265137},{"id":"https://openalex.org/C97812054","wikidata":"https://www.wikidata.org/wiki/Q2166055","display_name":"Intersymbol interference","level":3,"score":0.7354999780654907},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6503000259399414},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5220999717712402},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5180000066757202},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.4986000061035156},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.46650001406669617},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39089998602867126},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.3896999955177307},{"id":"https://openalex.org/C50151734","wikidata":"https://www.wikidata.org/wiki/Q1759577","display_name":"Matched filter","level":3,"score":0.3865000009536743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37700000405311584},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3671000003814697},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.3580999970436096},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.3346000015735626},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32359999418258667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.3147999942302704},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.30390000343322754},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2980000078678131},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.28610000014305115},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2773999869823456},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2718999981880188},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.2597000002861023}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc62392.2025.11274560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc62392.2025.11274560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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":17,"referenced_works":["https://openalex.org/W2015658353","https://openalex.org/W2045407304","https://openalex.org/W2062260987","https://openalex.org/W2074573300","https://openalex.org/W2147800946","https://openalex.org/W2565446012","https://openalex.org/W2769637827","https://openalex.org/W3003510551","https://openalex.org/W3015605534","https://openalex.org/W3100777112","https://openalex.org/W3176955429","https://openalex.org/W3204048018","https://openalex.org/W4293095088","https://openalex.org/W4328107879","https://openalex.org/W4385212518","https://openalex.org/W4405909392","https://openalex.org/W4417281888"],"related_works":[],"abstract_inverted_index":{"This":[0,77],"paper":[1],"proposes":[2],"a":[3,152],"convolutional":[4],"neural":[5],"network":[6],"(CNN)-based":[7],"detector":[8,91],"for":[9,65,74,99,120,157],"faster-than-Nyquist":[10],"(FTN)":[11],"signaling":[12],"that":[13,89],"employs":[14],"structured":[15],"fixed":[16],"kernel":[17],"layers":[18,64,73],"with":[19,30,127],"domain-informed":[20],"masking":[21],"to":[22,39,62,71,114],"mitigate":[23],"intersymbol":[24],"interference":[25],"(ISI).":[26],"Unlike":[27],"standard":[28],"CNNs":[29],"sliding":[31],"kernels,":[32],"the":[33,48,90,105,132,137,141,148,161],"proposed":[34,138],"method":[35],"utilizes":[36],"fixed-position":[37],"kernels":[38],"directly":[40],"capture":[41],"ISI":[42,67],"effects":[43],"at":[44],"varying":[45],"distances":[46],"from":[47],"central":[49],"symbol.":[50],"A":[51],"hierarchical":[52],"filter":[53],"allocation":[54],"strategy":[55],"is":[56,147],"also":[57],"introduced,":[58],"assigning":[59],"more":[60],"filters":[61],"earlier":[63],"strong":[66],"patterns":[68],"and":[69,108,116,122,134],"fewer":[70],"later":[72],"weaker":[75],"ones.":[76],"design":[78],"improves":[79],"detection":[80,159],"accuracy":[81],"while":[82],"reducing":[83],"redundant":[84],"operations.":[85],"Simulation":[86],"results":[87],"show":[88],"achieves":[92],"near-optimal":[93],"bit":[94],"error":[95],"rate":[96],"(BER)":[97],"performance":[98],"\u03c4":[100],"\u2265":[101],"0.7,":[102],"closely":[103],"matching":[104],"BCJR":[106],"algorithm,":[107],"offers":[109],"computational":[110],"gains":[111],"of":[112,136,143,151],"up":[113],"46%":[115],"84%":[117],"over":[118],"M-BCJR":[119],"BPSK":[121],"QPSK,":[123],"respectively.":[124],"Comparative":[125],"analysis":[126],"other":[128],"methods":[129],"further":[130],"highlights":[131],"efficiency":[133],"effectiveness":[135],"approach.":[139],"To":[140],"best":[142],"our":[144],"knowledge,":[145],"this":[146],"first":[149],"application":[150],"fixed-kernel":[153],"CNN":[154],"architecture":[155],"tailored":[156],"FTN":[158],"in":[160],"literature.":[162]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-12-12T00:00:00"}
