{"id":"https://openalex.org/W4293057674","doi":"https://doi.org/10.1109/vtc2022-spring54318.2022.9860990","title":"Towards Deep Learning-Guided Multiuser SNR and Doppler Shift Detection for Next-Generation Wireless Systems","display_name":"Towards Deep Learning-Guided Multiuser SNR and Doppler Shift Detection for Next-Generation Wireless Systems","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4293057674","doi":"https://doi.org/10.1109/vtc2022-spring54318.2022.9860990"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2022-spring54318.2022.9860990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-spring54318.2022.9860990","pdf_url":null,"source":{"id":"https://openalex.org/S4363607744","display_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","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/A5082853086","display_name":"Shun Kojima","orcid":"https://orcid.org/0000-0001-9227-4663"},"institutions":[{"id":"https://openalex.org/I207399273","display_name":"Utsunomiya University","ror":"https://ror.org/05bx1gz93","country_code":"JP","type":"education","lineage":["https://openalex.org/I207399273"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shun Kojima","raw_affiliation_strings":["Utsunomiya University,Graduate School of Engineering,Tochigi,Japan","Graduate School of Engineering, Utsunomiya University, Tochigi, Japan"],"affiliations":[{"raw_affiliation_string":"Utsunomiya University,Graduate School of Engineering,Tochigi,Japan","institution_ids":["https://openalex.org/I207399273"]},{"raw_affiliation_string":"Graduate School of Engineering, Utsunomiya University, Tochigi, Japan","institution_ids":["https://openalex.org/I207399273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107464649","display_name":"Yi Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I126452172","display_name":"Aptiv (United States)","ror":"https://ror.org/02967gp58","country_code":"US","type":"company","lineage":["https://openalex.org/I126452172","https://openalex.org/I4210107152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Feng","raw_affiliation_strings":["Aptiv, Carmel, IN,USA","Aptiv, Carmel, IN, USA"],"affiliations":[{"raw_affiliation_string":"Aptiv, Carmel, IN,USA","institution_ids":["https://openalex.org/I126452172"]},{"raw_affiliation_string":"Aptiv, Carmel, IN, USA","institution_ids":["https://openalex.org/I126452172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002904170","display_name":"Kazuki Maruta","orcid":"https://orcid.org/0000-0001-9635-3182"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuki Maruta","raw_affiliation_strings":["Tokyo Institute of Technology,Academy for Super Smart Society,Tokyo,Japan","Academy for Super Smart Society, Tokyo Institute of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology,Academy for Super Smart Society,Tokyo,Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Academy for Super Smart Society, Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045546361","display_name":"Kanemitsu Ootsu","orcid":null},"institutions":[{"id":"https://openalex.org/I207399273","display_name":"Utsunomiya University","ror":"https://ror.org/05bx1gz93","country_code":"JP","type":"education","lineage":["https://openalex.org/I207399273"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kanemitsu Ootsu","raw_affiliation_strings":["Utsunomiya University,Graduate School of Engineering,Tochigi,Japan","Graduate School of Engineering, Utsunomiya University, Tochigi, Japan"],"affiliations":[{"raw_affiliation_string":"Utsunomiya University,Graduate School of Engineering,Tochigi,Japan","institution_ids":["https://openalex.org/I207399273"]},{"raw_affiliation_string":"Graduate School of Engineering, Utsunomiya University, Tochigi, Japan","institution_ids":["https://openalex.org/I207399273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047777790","display_name":"Takashi Yokota","orcid":"https://orcid.org/0000-0002-3075-006X"},"institutions":[{"id":"https://openalex.org/I207399273","display_name":"Utsunomiya University","ror":"https://ror.org/05bx1gz93","country_code":"JP","type":"education","lineage":["https://openalex.org/I207399273"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Yokota","raw_affiliation_strings":["Utsunomiya University,Graduate School of Engineering,Tochigi,Japan","Graduate School of Engineering, Utsunomiya University, Tochigi, Japan"],"affiliations":[{"raw_affiliation_string":"Utsunomiya University,Graduate School of Engineering,Tochigi,Japan","institution_ids":["https://openalex.org/I207399273"]},{"raw_affiliation_string":"Graduate School of Engineering, Utsunomiya University, Tochigi, Japan","institution_ids":["https://openalex.org/I207399273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108759844","display_name":"Chang-Jun Ahn","orcid":null},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chang-Jun Ahn","raw_affiliation_strings":["Chiba University,Graduate School of Engineering,Chiba,Japan","Graduate School of Engineering, Chiba University, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Chiba University,Graduate School of Engineering,Chiba,Japan","institution_ids":["https://openalex.org/I159385669"]},{"raw_affiliation_string":"Graduate School of Engineering, Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020766546","display_name":"Vahid Tarokh","orcid":"https://orcid.org/0000-0003-2994-6302"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vahid Tarokh","raw_affiliation_strings":["Duke University,Graduate School of Engineering,NC,USA","Graduate School of Engineering, Duke University, NC, USA"],"affiliations":[{"raw_affiliation_string":"Duke University,Graduate School of Engineering,NC,USA","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Graduate School of Engineering, Duke University, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5082853086"],"corresponding_institution_ids":["https://openalex.org/I207399273"],"apc_list":null,"apc_paid":null,"fwci":0.6448,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56802253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9983000159263611,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9979000091552734,"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/computer-science","display_name":"Computer science","score":0.8209457397460938},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.6517415642738342},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.6368071436882019},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5743311047554016},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.5649434328079224},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5198031663894653},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.5041621923446655},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4710892140865326},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.46123290061950684},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.4560307562351227},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.434756338596344},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.33734041452407837},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2704651951789856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23197713494300842},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1777953803539276},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10141652822494507}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8209457397460938},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.6517415642738342},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.6368071436882019},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5743311047554016},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.5649434328079224},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5198031663894653},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.5041621923446655},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4710892140865326},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.46123290061950684},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.4560307562351227},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.434756338596344},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.33734041452407837},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2704651951789856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23197713494300842},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1777953803539276},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10141652822494507},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2022-spring54318.2022.9860990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-spring54318.2022.9860990","pdf_url":null,"source":{"id":"https://openalex.org/S4363607744","display_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","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":13,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2003192648","https://openalex.org/W2118561930","https://openalex.org/W2557151866","https://openalex.org/W2570343428","https://openalex.org/W2800086317","https://openalex.org/W2884089434","https://openalex.org/W2903031043","https://openalex.org/W2963037989","https://openalex.org/W2980007540","https://openalex.org/W3023750985","https://openalex.org/W3163345511","https://openalex.org/W3210885478"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2088854863","https://openalex.org/W2011227383","https://openalex.org/W2065606036","https://openalex.org/W1976719989","https://openalex.org/W2942893872","https://openalex.org/W3179495260","https://openalex.org/W3127543252","https://openalex.org/W2016904525"],"abstract_inverted_index":{"In":[0,25,68,150],"order":[1],"to":[2,37,105,144,180],"meet":[3],"the":[4,39,55,69,82,95,116,136,151,182,185],"ever-growing":[5],"demand":[6],"for":[7,66,111,159],"data":[8],"traffic,":[9],"highly":[10],"efficient":[11],"multiple":[12,27,147],"access":[13,28,148],"schemes,":[14,29],"such":[15,26,48],"as":[16,49,101],"OFDMA,":[17],"are":[18,35,178],"widely":[19],"used":[20,36],"in":[21,88],"modern":[22],"communication":[23,56],"standards.":[24],"adaptive":[30],"modulation":[31],"and":[32,51,73,91,125,156],"coding":[33],"(AMC)":[34],"optimize":[38],"transmission":[40],"rate":[41],"of":[42,58,63,184],"each":[43,59,112,173],"user.":[44,113],"However,":[45,81],"feedback":[46],"information,":[47],"SNR":[50,124,155],"Doppler":[52,126,157],"shift,":[53],"characterizing":[54],"environment":[57],"user":[60],"is":[61,103],"indispensable":[62],"key":[64],"importance":[65],"AMC.":[67],"past,":[70],"these":[71],"information":[72],"parameters":[74],"were":[75],"often":[76],"estimated":[77],"using":[78],"reference":[79,83,137],"signals.":[80],"signal":[84],"becomes":[85],"overhead,":[86],"resulting":[87],"throughput":[89],"degradation":[90],"processing":[92],"delay.":[93],"Furthermore,":[94],"computation":[96],"burden":[97],"can":[98,162],"be":[99,163],"large":[100],"it":[102],"necessary":[104],"perform":[106],"channel":[107],"parameter":[108],"estimation":[109],"individually":[110],"Previously,":[114],"over":[115],"single-user":[117],"channel,":[118],"we":[119],"have":[120],"proposed":[121,153,186],"a":[122,131],"joint":[123],"shift":[127,158],"detection":[128,170],"method":[129],"via":[130,166],"spectrogram-based":[132],"data-driven":[133],"method,":[134,154],"without":[135],"signal.":[138],"This":[139],"paper":[140],"extends":[141],"this":[142],"framework":[143],"multiuser":[145],"OFDM":[146],"channels.":[149],"newly":[152],"all":[160],"users":[161],"detected":[164],"simultaneously":[165],"deep":[167],"learning-guided":[168],"object":[169],"algorithms":[171],"from":[172],"spectrogram":[174],"image.":[175],"Simulation":[176],"results":[177],"provided":[179],"validate":[181],"effectiveness":[183],"method.":[187]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}