{"id":"https://openalex.org/W4210796817","doi":"https://doi.org/10.1109/globecom46510.2021.9685268","title":"SubSRNN: Tailored Neural Network for Channel Estimation with Robustness against Diversities","display_name":"SubSRNN: Tailored Neural Network for Channel Estimation with Robustness against Diversities","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4210796817","doi":"https://doi.org/10.1109/globecom46510.2021.9685268"},"language":"en","primary_location":{"id":"doi:10.1109/globecom46510.2021.9685268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685268","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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":"2021 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101591872","display_name":"Wenliang Qi","orcid":"https://orcid.org/0000-0002-0095-7596"},"institutions":[{"id":"https://openalex.org/I4210099903","display_name":"Nokia (China)","ror":"https://ror.org/01607kg94","country_code":"CN","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210099903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenliang Qi","raw_affiliation_strings":["Nokia Bell Labs China,Shanghai,China","Nokia Bell Labs China, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs China,Shanghai,China","institution_ids":["https://openalex.org/I4210099903"]},{"raw_affiliation_string":"Nokia Bell Labs China, Shanghai, China","institution_ids":["https://openalex.org/I4210099903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090032144","display_name":"Jia-Qi Quan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099903","display_name":"Nokia (China)","ror":"https://ror.org/01607kg94","country_code":"CN","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210099903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Quan","raw_affiliation_strings":["Nokia Bell Labs China,Shanghai,China","Nokia Bell Labs China, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs China,Shanghai,China","institution_ids":["https://openalex.org/I4210099903"]},{"raw_affiliation_string":"Nokia Bell Labs China, Shanghai, China","institution_ids":["https://openalex.org/I4210099903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074728359","display_name":"Jakob Hoydis","orcid":"https://orcid.org/0000-0002-0438-967X"},"institutions":[{"id":"https://openalex.org/I4210149358","display_name":"Nokia (France)","ror":"https://ror.org/04kwfkk85","country_code":"FR","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210149358"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jakob Hoydis","raw_affiliation_strings":["Nokia Bell Labs France,Nozay,France","Nokia Bell Labs France, Nozay, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs France,Nozay,France","institution_ids":["https://openalex.org/I4210149358"]},{"raw_affiliation_string":"Nokia Bell Labs France, Nozay, France","institution_ids":["https://openalex.org/I4210149358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066009762","display_name":"Chenhui Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099903","display_name":"Nokia (China)","ror":"https://ror.org/01607kg94","country_code":"CN","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210099903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenhui Ye","raw_affiliation_strings":["Nokia Bell Labs China,Shanghai,China","Nokia Bell Labs China, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs China,Shanghai,China","institution_ids":["https://openalex.org/I4210099903"]},{"raw_affiliation_string":"Nokia Bell Labs China, Shanghai, China","institution_ids":["https://openalex.org/I4210099903"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9970999956130981,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9970999956130981,"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":0.9958000183105469,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/robustness","display_name":"Robustness (evolution)","score":0.745449960231781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7114009261131287},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6148843765258789},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.6113545298576355},{"id":"https://openalex.org/keywords/demodulation","display_name":"Demodulation","score":0.5489979386329651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47972431778907776},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38737979531288147},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3685721755027771},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3254966735839844},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2578127384185791}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.745449960231781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7114009261131287},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6148843765258789},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.6113545298576355},{"id":"https://openalex.org/C195251586","wikidata":"https://www.wikidata.org/wiki/Q1185939","display_name":"Demodulation","level":3,"score":0.5489979386329651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47972431778907776},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38737979531288147},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3685721755027771},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3254966735839844},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2578127384185791},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom46510.2021.9685268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685268","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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":"2021 IEEE Global Communications Conference (GLOBECOM)","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":11,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W2160015451","https://openalex.org/W2734408173","https://openalex.org/W2810871807","https://openalex.org/W2959557487","https://openalex.org/W2963145597","https://openalex.org/W2963372104","https://openalex.org/W2963836746","https://openalex.org/W3128783847","https://openalex.org/W3136733874","https://openalex.org/W3192877829"],"related_works":["https://openalex.org/W1996543123","https://openalex.org/W4388516297","https://openalex.org/W2010761432","https://openalex.org/W4389302182","https://openalex.org/W2089955640","https://openalex.org/W4229074657","https://openalex.org/W1978322239","https://openalex.org/W2146363836","https://openalex.org/W2070047532","https://openalex.org/W4243590696"],"abstract_inverted_index":{"The":[0,131],"advance":[1],"of":[2,68,103],"deep":[3],"learning":[4],"in":[5,14,49,63,66,128],"computer":[6],"vision":[7],"has":[8],"been":[9,40,193],"leveraged":[10],"for":[11,88,171],"channel":[12,20,27,51,90,173],"estimation":[13,174],"radio":[15],"receiver":[16],"since":[17],"high-resolution":[18,89],"full":[19],"response":[21,91],"can":[22,142,168],"be":[23,169],"reconstructed":[24],"from":[25,93],"raw":[26,95],"estimate":[28,96],"achieved":[29],"based":[30,97],"on":[31,98],"sparse":[32,99],"pilots.":[33,100],"Despite":[34],"that":[35,189],"significant":[36],"performance":[37],"gains":[38],"have":[39,190],"derived":[41],"by":[42],"using":[43,175],"powerful":[44],"neural":[45],"networks":[46],"(NN)":[47],"especially":[48],"given":[50],"conditions,":[52],"it":[53],"is":[54,110,183],"still":[55],"challenging":[56],"and":[57,73,148,187],"crucial":[58],"to":[59,112,185],"augment":[60],"NN's":[61],"robustness":[62],"untrained":[64],"scenarios":[65],"terms":[67],"user":[69],"equipments'":[70],"(UE)":[71],"locations":[72,186],"velocities.":[74],"In":[75],"this":[76],"paper,":[77],"we":[78,158],"proposed":[79],"a":[80,105],"super-resolution":[81],"(SR)":[82],"NN":[83,108,164],"as":[84,139],"the":[85,140,150,155],"backbone":[86],"structure":[87,109],"reconstruction":[92],"low-resolution":[94],"On":[101],"top":[102],"that,":[104],"specialized":[106],"sub":[107],"embedded":[111],"adaptively":[113],"combat":[114],"against":[115],"vari-ant":[116],"Doppler-induced":[117],"diverse":[118],"phase":[119,151],"rotations":[120],"between":[121],"orthogonal":[122],"frequency":[123],"division":[124],"multiplexing":[125],"(OFDM)":[126],"symbols":[127],"time":[129],"domain.":[130],"Sub-NN":[132],"with":[133,165],"semantic":[134],"information":[135,167],"like":[136],"UEs'":[137],"velocities":[138],"input":[141],"learn":[143],"multi-path-propagation":[144],"dependent":[145],"Doppler":[146],"decomposition,":[147],"compensate":[149],"rotation":[152],"accordingly.":[153],"For":[154],"first":[156],"time,":[157],"show":[159],"how":[160],"such":[161],"specially":[162],"tailored":[163],"extra":[166],"used":[170],"high-accuracy":[172],"only":[176],"1":[177],"demodulation":[178],"reference":[179],"signal":[180],"(DMRS),":[181],"which":[182],"robust":[184],"Dopplers":[188],"not":[191],"even":[192],"trained.":[194]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}