{"id":"https://openalex.org/W4327522914","doi":"https://doi.org/10.1109/ojcoms.2023.3253789","title":"MetNet: A Novel Low-Complexity Neural Network-Aided Detection for Faster-Than-Nyquist (FTN) Signaling in ISI Channels","display_name":"MetNet: A Novel Low-Complexity Neural Network-Aided Detection for Faster-Than-Nyquist (FTN) Signaling in ISI Channels","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4327522914","doi":"https://doi.org/10.1109/ojcoms.2023.3253789"},"language":"en","primary_location":{"id":"doi:10.1109/ojcoms.2023.3253789","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcoms.2023.3253789","pdf_url":"https://ieeexplore.ieee.org/ielx7/8782661/8901158/10071549.pdf","source":{"id":"https://openalex.org/S4210202420","display_name":"IEEE Open Journal of the Communications Society","issn_l":"2644-125X","issn":["2644-125X"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Communications Society","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/8782661/8901158/10071549.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036019125","display_name":"Ammar Abdelsamie","orcid":"https://orcid.org/0000-0002-9811-0106"},"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":"Ammar Abdelsamie","raw_affiliation_strings":["Systems and Computer Engineering Department, Carleton University, Ottawa, Canada"],"raw_orcid":"https://orcid.org/0000-0002-9811-0106","affiliations":[{"raw_affiliation_string":"Systems and Computer Engineering Department, Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021593134","display_name":"Ian Marsland","orcid":"https://orcid.org/0000-0002-8991-9093"},"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":"Ian Marsland","raw_affiliation_strings":["Systems and Computer Engineering Department, Carleton University, Ottawa, Canada"],"raw_orcid":"https://orcid.org/0000-0002-8991-9093","affiliations":[{"raw_affiliation_string":"Systems and Computer Engineering Department, Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101735294","display_name":"Ahmed Ibrahim","orcid":null},"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":"Ahmed Ibrahim","raw_affiliation_strings":["Systems and Computer Engineering Department, Carleton University, Ottawa, Canada"],"raw_orcid":"https://orcid.org/0000-0002-4823-4098","affiliations":[{"raw_affiliation_string":"Systems and Computer Engineering Department, Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"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":["Systems and Computer Engineering Department, Carleton University, Ottawa, Canada"],"raw_orcid":"https://orcid.org/0000-0003-4776-9354","affiliations":[{"raw_affiliation_string":"Systems and Computer Engineering Department, Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I67031392"],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":0.1161,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37418012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"798","last_page":"809"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11873","display_name":"PAPR reduction in OFDM","score":0.9998000264167786,"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":0.9998000264167786,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9993000030517578,"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/T10232","display_name":"Optical Network Technologies","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/intersymbol-interference","display_name":"Intersymbol interference","score":0.7089622616767883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.662900447845459},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5758547186851501},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.5325474143028259},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5064195394515991},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5057649612426758},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5006842613220215},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46795570850372314},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.45790669322013855},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.29491591453552246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2295588254928589},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.22933977842330933},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08385869860649109}],"concepts":[{"id":"https://openalex.org/C97812054","wikidata":"https://www.wikidata.org/wiki/Q2166055","display_name":"Intersymbol interference","level":3,"score":0.7089622616767883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.662900447845459},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5758547186851501},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.5325474143028259},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5064195394515991},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5057649612426758},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5006842613220215},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46795570850372314},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.45790669322013855},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.29491591453552246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2295588254928589},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.22933977842330933},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08385869860649109},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ojcoms.2023.3253789","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcoms.2023.3253789","pdf_url":"https://ieeexplore.ieee.org/ielx7/8782661/8901158/10071549.pdf","source":{"id":"https://openalex.org/S4210202420","display_name":"IEEE Open Journal of the Communications Society","issn_l":"2644-125X","issn":["2644-125X"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Communications Society","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d0bf838950764a3ca4bca6c436ca4d33","is_oa":true,"landing_page_url":"https://doaj.org/article/d0bf838950764a3ca4bca6c436ca4d33","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Open Journal of the Communications Society, Vol 4, Pp 798-809 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/ojcoms.2023.3253789","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcoms.2023.3253789","pdf_url":"https://ieeexplore.ieee.org/ielx7/8782661/8901158/10071549.pdf","source":{"id":"https://openalex.org/S4210202420","display_name":"IEEE Open Journal of the Communications Society","issn_l":"2644-125X","issn":["2644-125X"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Communications Society","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4327522914.pdf","grobid_xml":"https://content.openalex.org/works/W4327522914.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2045407304","https://openalex.org/W2054828767","https://openalex.org/W2062260987","https://openalex.org/W2068329841","https://openalex.org/W2142384583","https://openalex.org/W2166851988","https://openalex.org/W2291846096","https://openalex.org/W2584943905","https://openalex.org/W2612206275","https://openalex.org/W2786361328","https://openalex.org/W2790776375","https://openalex.org/W2990569754","https://openalex.org/W3006643426","https://openalex.org/W3015605534","https://openalex.org/W3155702736","https://openalex.org/W3176955429","https://openalex.org/W3179012301","https://openalex.org/W3195874288","https://openalex.org/W3214589635","https://openalex.org/W4315630053","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W2106068791","https://openalex.org/W2156223257","https://openalex.org/W1981038969","https://openalex.org/W2026349308","https://openalex.org/W1574380367","https://openalex.org/W2114343754","https://openalex.org/W2139384650","https://openalex.org/W2590541506","https://openalex.org/W1511547174","https://openalex.org/W2125809640"],"abstract_inverted_index":{"This":[0],"paper":[1,25],"studies":[2],"the":[3,53,69,75,88,102,105,123,138,156,167,171,193,225,228],"application":[4],"of":[5,11,23,110,158,182,218,230],"neural":[6,48,82],"networks":[7],"to":[8,27,79,119,142,195,221],"Viterbi":[9,125],"detection":[10],"FTN":[12,34,62,150,222],"signals":[13,35],"in":[14,36,212,227],"an":[15],"intersymbol":[16],"interference":[17],"(ISI)":[18],"channel.":[19,40],"The":[20,97,185],"main":[21],"contribution":[22],"this":[24],"is":[26,115],"propose":[28,44],"a":[29,45,80,175,214],"receiver":[30],"structure":[31,50],"for":[32,51,61,85,94,131],"detecting":[33],"unknown":[37],"static":[38],"ISI":[39,95],"In":[41],"particular,":[42],"we":[43,57,73,190,207,210],"novel":[46],"low-complexity":[47],"network":[49],"calculating":[52],"branch":[54],"metrics,":[55],"and":[56,114,149],"explore":[58],"its":[59],"suitability":[60],"signalling":[63],"with":[64,107,197],"channel":[65,120,183,199,231],"uncertainty.":[66,232],"We":[67,134],"compare":[68],"proposed":[70,172],"network,":[71],"which":[72,90,127],"call":[74],"Metric":[76],"Net":[77],"(MetNet),":[78],"benchmark":[81],"network-based":[83],"technique":[84],"metric":[86,132],"calculation,":[87],"ViterbiNet,":[89,106],"was":[91],"originally":[92],"designed":[93],"channels.":[96],"simulation":[98],"results":[99,168,186],"confirm":[100],"that":[101,137,155,170,189,209],"MetNet":[103,139,173,194,226],"outperforms":[104],"two":[108],"orders":[109],"magnitude":[111],"lower":[112],"complexity,":[113],"much":[116,179],"more":[117],"resilient":[118],"uncertainty":[121],"than":[122],"traditional":[124],"detector,":[126],"uses":[128],"Euclidean":[129],"distance":[130],"calculations.":[133],"further":[135],"show":[136,169,208],"exhibits":[140],"robustness":[141],"being":[143],"trained":[144,159],"at":[145,178],"mismatched":[146],"SNR":[147],"values":[148],"pulse":[151],"acceleration":[152],"factors,":[153],"meaning":[154],"number":[157],"models":[160,200],"required":[161],"can":[162,191],"be":[163],"significantly":[164],"reduced.":[165],"Additionally,":[166],"remains":[174],"favorable":[176],"alternative":[177],"higher":[180],"levels":[181],"uncertainties.":[184],"also":[187],"reflect":[188],"generalize":[192],"work":[196],"different":[198,203],"defined":[201],"by":[202,223],"decaying":[204],"factors.":[205],"Finally,":[206],"succeed":[211],"achieving":[213],"bandwidth":[215],"efficiency":[216],"gain":[217],"33%":[219],"due":[220],"using":[224],"presence":[229]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
