{"id":"https://openalex.org/W3103854047","doi":"https://doi.org/10.1109/twc.2020.3039180","title":"Deep Learning-Aided Multicarrier Systems","display_name":"Deep Learning-Aided Multicarrier Systems","publication_year":2020,"publication_date":"2020-11-25","ids":{"openalex":"https://openalex.org/W3103854047","doi":"https://doi.org/10.1109/twc.2020.3039180","mag":"3103854047"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2020.3039180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2020.3039180","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Transactions on Wireless Communications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pureadmin.qub.ac.uk/ws/files/221777542/MC_AE.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018806075","display_name":"Thien Van Luong","orcid":"https://orcid.org/0000-0002-4661-4900"},"institutions":[{"id":"https://openalex.org/I4210111036","display_name":"Phenikaa (Vietnam)","ror":"https://ror.org/0250p1d07","country_code":"VN","type":"company","lineage":["https://openalex.org/I4210111036"]},{"id":"https://openalex.org/I4210124651","display_name":"Phenikaa University","ror":"https://ror.org/03anxx281","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210124651"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Thien Van Luong","raw_affiliation_strings":["Faculty of Computer Science, Phenikaa University, Hanoi, Vietnam","Phenikaa Research and Technology Institute (PRATI), A&A Green Phoenix Group JSC, Hanoi, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-4661-4900","affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Phenikaa University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I4210124651"]},{"raw_affiliation_string":"Phenikaa Research and Technology Institute (PRATI), A&A Green Phoenix Group JSC, Hanoi, Vietnam","institution_ids":["https://openalex.org/I4210111036"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006146719","display_name":"Youngwook Ko","orcid":"https://orcid.org/0000-0002-0199-652X"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Youngwook Ko","raw_affiliation_strings":["University of York, York, U.K"],"raw_orcid":"https://orcid.org/0000-0002-0199-652X","affiliations":[{"raw_affiliation_string":"University of York, York, U.K","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035876091","display_name":"Michail Matthaiou","orcid":"https://orcid.org/0000-0001-9235-7741"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michail Matthaiou","raw_affiliation_strings":["Institute of Electronics, Communications and Information Technology (ECIT), Queen\u2019s University Belfast, Belfast, U.K","Institute of Electronics, Communications and Information Technology (ECIT), Queen's University Belfast, Belfast, U.K"],"raw_orcid":"https://orcid.org/0000-0001-9235-7741","affiliations":[{"raw_affiliation_string":"Institute of Electronics, Communications and Information Technology (ECIT), Queen\u2019s University Belfast, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"Institute of Electronics, Communications and Information Technology (ECIT), Queen's University Belfast, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043775193","display_name":"Ngo Anh Vien","orcid":"https://orcid.org/0000-0001-9646-267X"},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ngo Anh Vien","raw_affiliation_strings":["Bosch Center for Artificial Intelligence, Renningen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bosch Center for Artificial Intelligence, Renningen, Germany","institution_ids":["https://openalex.org/I889804353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101779204","display_name":"Minh-Tuan Le","orcid":"https://orcid.org/0000-0001-9408-8469"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minh-Tuan Le","raw_affiliation_strings":["MobiFone R&D Center, MobiFone Corporation, Hanoi, Vietnam"],"raw_orcid":"https://orcid.org/0000-0001-9408-8469","affiliations":[{"raw_affiliation_string":"MobiFone R&D Center, MobiFone Corporation, Hanoi, Vietnam","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011563329","display_name":"Vu-Duc Ngo","orcid":"https://orcid.org/0000-0002-5214-2620"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Vu-Duc Ngo","raw_affiliation_strings":["School of Electronics and Telecommunications, Hanoi University of Science and Technology (HUST), Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Telecommunications, Hanoi University of Science and Technology (HUST), Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5018806075"],"corresponding_institution_ids":["https://openalex.org/I4210111036","https://openalex.org/I4210124651"],"apc_list":null,"apc_paid":null,"fwci":1.8726,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.86146272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"20","issue":"3","first_page":"2109","last_page":"2119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","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/T11458","display_name":"Advanced Wireless Communication Technologies","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/T11873","display_name":"PAPR reduction in OFDM","score":0.9997000098228455,"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":0.9997000098228455,"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":0.8107458353042603},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.7208317518234253},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.6581928730010986},{"id":"https://openalex.org/keywords/demodulation","display_name":"Demodulation","score":0.5928921699523926},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5855622291564941},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5255764126777649},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5016088485717773},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.4874758720397949},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.43109434843063354},{"id":"https://openalex.org/keywords/block-error-rate","display_name":"Block Error Rate","score":0.4239354133605957},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3951237201690674},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.39511388540267944},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3846288323402405},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3539450764656067},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.27991175651550293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23126563429832458}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8107458353042603},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.7208317518234253},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.6581928730010986},{"id":"https://openalex.org/C195251586","wikidata":"https://www.wikidata.org/wiki/Q1185939","display_name":"Demodulation","level":3,"score":0.5928921699523926},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5855622291564941},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5255764126777649},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5016088485717773},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.4874758720397949},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.43109434843063354},{"id":"https://openalex.org/C2776639698","wikidata":"https://www.wikidata.org/wiki/Q4927140","display_name":"Block Error Rate","level":3,"score":0.4239354133605957},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3951237201690674},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.39511388540267944},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3846288323402405},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3539450764656067},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.27991175651550293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23126563429832458},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/twc.2020.3039180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2020.3039180","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Transactions on Wireless Communications","raw_type":"journal-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:168094","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/db8d3956-d19c-4c28-9a54-817dd4fe3192","is_oa":true,"landing_page_url":"https://pure.qub.ac.uk/en/publications/db8d3956-d19c-4c28-9a54-817dd4fe3192","pdf_url":"https://pureadmin.qub.ac.uk/ws/files/221777542/MC_AE.pdf","source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Luong , T V , Ko , Y , Matthaiou , M , Ngo , V , Le , M-T & Ngo , V-D 2020 , ' Deep Learning-Aided Multicarrier Systems ' , IEEE Transactions on Wireless Communications . https://doi.org/10.1109/TWC.2020.3039180","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/db8d3956-d19c-4c28-9a54-817dd4fe3192","is_oa":true,"landing_page_url":"https://pure.qub.ac.uk/en/publications/db8d3956-d19c-4c28-9a54-817dd4fe3192","pdf_url":"https://pureadmin.qub.ac.uk/ws/files/221777542/MC_AE.pdf","source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Luong , T V , Ko , Y , Matthaiou , M , Ngo , V , Le , M-T & Ngo , V-D 2020 , ' Deep Learning-Aided Multicarrier Systems ' , IEEE Transactions on Wireless Communications . https://doi.org/10.1109/TWC.2020.3039180","raw_type":"article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G347878058","display_name":null,"funder_award_id":"EP/P000673/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4271862998","display_name":"DTP 2016-2017 Queen's University of Belfast","funder_award_id":"EP/N509541/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5926497536","display_name":null,"funder_award_id":"EP/N509541","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8023429228","display_name":"Low-complexity processing for mm-Wave massive MIMO","funder_award_id":"EP/P000673/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320316531","display_name":"Department for the Economy","ror":"https://ror.org/0161w0r98"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3103854047.pdf","grobid_xml":"https://content.openalex.org/works/W3103854047.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1522045078","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W2025052910","https://openalex.org/W2042519026","https://openalex.org/W2076063813","https://openalex.org/W2121184564","https://openalex.org/W2132305759","https://openalex.org/W2137398079","https://openalex.org/W2138986309","https://openalex.org/W2493309683","https://openalex.org/W2512516761","https://openalex.org/W2540924152","https://openalex.org/W2734408173","https://openalex.org/W2744485539","https://openalex.org/W2754359954","https://openalex.org/W2779699222","https://openalex.org/W2784180017","https://openalex.org/W2784665603","https://openalex.org/W2789915402","https://openalex.org/W2907154922","https://openalex.org/W2946774101","https://openalex.org/W2963190722","https://openalex.org/W2964121744","https://openalex.org/W2964198392","https://openalex.org/W3036589489","https://openalex.org/W6631190155","https://openalex.org/W6631943919"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W2909431601","https://openalex.org/W1499467867"],"abstract_inverted_index":{"This":[0,85],"paper":[1],"proposes":[2],"a":[3,48,81,165,171],"deep":[4,23],"learning":[5],"(DL)-aided":[6],"multicarrier":[7],"(MC)":[8],"system":[9,145],"operating":[10],"on":[11],"fading":[12,105],"channels,":[13,57],"where":[14],"both":[15,199],"modulation":[16],"and":[17,31,73,95,101,157,175,203],"demodulation":[18],"blocks":[19],"are":[20,77,161,182],"modeled":[21],"by":[22],"neural":[24],"networks":[25],"(DNNs),":[26],"regarded":[27],"as":[28,62,128,148],"the":[29,53,58,66,69,93,99,109,143,186,189,200],"encoder":[30,94],"decoder":[32,67,96],"of":[33,47,55,113,188,198],"an":[34],"autoencoder":[35],"(AE)":[36],"architecture,":[37],"respectively.":[38],"Unlike":[39],"existing":[40,124],"AE-based":[41],"systems,":[42],"which":[43,76],"incorporate":[44],"domain":[45],"knowledge":[46],"channel":[49,70],"equalizer":[50],"to":[51,90,97,117,139,184],"suppress":[52],"effects":[54],"wireless":[56],"proposed":[59,190],"scheme,":[60],"termed":[61,147],"MC-AE,":[63],"directly":[64],"feeds":[65],"with":[68,164],"state":[71],"information":[72],"received":[74],"signal,":[75],"then":[78,136],"processed":[79],"in":[80,196],"fully":[82],"data-driven":[83],"manner.":[84],"new":[86],"approach":[87],"enables":[88],"MC-AE":[89,114,138],"jointly":[91],"learn":[92],"optimize":[98],"diversity":[100],"coding":[102],"gains":[103,122],"over":[104,193],"channels.":[106],"In":[107],"particular,":[108],"block":[110],"error":[111,201],"rate":[112],"is":[115,146],"analyzed":[116],"show":[118,185],"its":[119],"higher":[120],"performance":[121,202],"than":[123],"hand-crafted":[125],"baselines,":[126,195],"such":[127],"various":[129],"recent":[130],"index":[131],"modulation-based":[132],"MC":[133],"schemes.":[134],"We":[135],"extend":[137],"multiuser":[140],"scenarios,":[141],"wherein":[142],"resultant":[144],"MU-MC-AE.":[149],"Accordingly,":[150],"two":[151],"novel":[152,166],"DNN":[153],"structures":[154],"for":[155],"uplink":[156],"downlink":[158],"MU-MC-AE":[159],"transmissions":[160],"proposed,":[162],"along":[163],"cost":[167],"function":[168],"that":[169],"ensures":[170],"fast":[172],"training":[173],"convergence":[174],"fairness":[176],"among":[177],"users.":[178],"Finally,":[179],"simulation":[180],"results":[181],"provided":[183],"superiority":[187],"DL-based":[191],"schemes":[192],"current":[194],"terms":[197],"receiver":[204],"complexity.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}