{"id":"https://openalex.org/W7119060023","doi":"https://doi.org/10.1109/lcomm.2026.3651608","title":"Model-Driven Deep Learning for OTFS Detection With Phase Noise in V2X Communications","display_name":"Model-Driven Deep Learning for OTFS Detection With Phase Noise in V2X Communications","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7119060023","doi":"https://doi.org/10.1109/lcomm.2026.3651608"},"language":null,"primary_location":{"id":"doi:10.1109/lcomm.2026.3651608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2026.3651608","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Letters","raw_type":"journal-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/A5110494169","display_name":"D. Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151703","display_name":"China Coal Technology and Engineering Group Corp (China)","ror":"https://ror.org/045d9gj14","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210151703"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dehao Qiu","raw_affiliation_strings":["Seres Group Company Ltd., Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Seres Group Company Ltd., Chongqing, China","institution_ids":["https://openalex.org/I4210151703"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122207585","display_name":"Hongxia Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151703","display_name":"China Coal Technology and Engineering Group Corp (China)","ror":"https://ror.org/045d9gj14","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210151703"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxia Zhu","raw_affiliation_strings":["Seres Group Company Ltd., Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Seres Group Company Ltd., Chongqing, China","institution_ids":["https://openalex.org/I4210151703"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121130573","display_name":"Jun Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151703","display_name":"China Coal Technology and Engineering Group Corp (China)","ror":"https://ror.org/045d9gj14","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210151703"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Luo","raw_affiliation_strings":["Seres Group Company Ltd., Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Seres Group Company Ltd., Chongqing, China","institution_ids":["https://openalex.org/I4210151703"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122190142","display_name":"Qinhan Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151703","display_name":"China Coal Technology and Engineering Group Corp (China)","ror":"https://ror.org/045d9gj14","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210151703"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinhan Zhou","raw_affiliation_strings":["Seres Group Company Ltd., Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Seres Group Company Ltd., Chongqing, China","institution_ids":["https://openalex.org/I4210151703"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122140033","display_name":"Feng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151703","display_name":"China Coal Technology and Engineering Group Corp (China)","ror":"https://ror.org/045d9gj14","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210151703"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Li","raw_affiliation_strings":["Seres Group Company Ltd., Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Seres Group Company Ltd., Chongqing, China","institution_ids":["https://openalex.org/I4210151703"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110494169"],"corresponding_institution_ids":["https://openalex.org/I4210151703"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09677419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"952","last_page":"956"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11873","display_name":"PAPR reduction in OFDM","score":0.9315999746322632,"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":0.9315999746322632,"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/T10767","display_name":"Advanced Photonic Communication Systems","score":0.009800000116229057,"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":0.009800000116229057,"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/interference","display_name":"Interference (communication)","score":0.67330002784729},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6567999720573425},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.586899995803833},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.555899977684021},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5234000086784363},{"id":"https://openalex.org/keywords/doppler-frequency","display_name":"Doppler frequency","score":0.47609999775886536},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4634999930858612},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4390000104904175},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4262000024318695},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.3986000120639801}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7161999940872192},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.67330002784729},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6567999720573425},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.586899995803833},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.555899977684021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5394999980926514},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5234000086784363},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.492900013923645},{"id":"https://openalex.org/C2988629262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler frequency","level":3,"score":0.47609999775886536},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4634999930858612},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4390000104904175},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4262000024318695},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.3986000120639801},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3968000113964081},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.3718999922275543},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.37119999527931213},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.36970001459121704},{"id":"https://openalex.org/C89631360","wikidata":"https://www.wikidata.org/wiki/Q1428766","display_name":"Phase noise","level":2,"score":0.36660000681877136},{"id":"https://openalex.org/C187107819","wikidata":"https://www.wikidata.org/wiki/Q835696","display_name":"NASA Deep Space Network","level":3,"score":0.35249999165534973},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.3497999906539917},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.34470000863075256},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.33250001072883606},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.3301999866962433},{"id":"https://openalex.org/C110086884","wikidata":"https://www.wikidata.org/wiki/Q2085341","display_name":"Phase detector","level":3,"score":0.3296000063419342},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.30000001192092896},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.2924000024795532},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.2784999907016754},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.2687000036239624},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C61776360","wikidata":"https://www.wikidata.org/wiki/Q5250441","display_name":"Deep space exploration","level":4,"score":0.260699987411499}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2026.3651608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2026.3651608","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8214441537857056}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2153184506","https://openalex.org/W2612254130","https://openalex.org/W2954394822","https://openalex.org/W3126365018","https://openalex.org/W3128173373","https://openalex.org/W3172078415","https://openalex.org/W3173740276","https://openalex.org/W4393305249","https://openalex.org/W4401536655","https://openalex.org/W4405975121","https://openalex.org/W4412404241","https://openalex.org/W7084755815"],"related_works":[],"abstract_inverted_index":{"Orthogonal":[0],"time":[1],"frequency":[2,36],"space":[3],"(OTFS)":[4],"is":[5,32],"a":[6,33,54],"promising":[7],"multicarrier":[8],"waveform,":[9],"which":[10,96],"effectively":[11],"combats":[12],"high":[13,17],"Doppler":[14],"effect":[15],"in":[16,21,41,45,61,67,78,127,145],"mobility":[18],"communications":[19],"especially":[20],"Vehicle-to-Everything":[22],"(V2X)":[23],"scenarios.":[24],"However,":[25],"phase":[26],"noise":[27],"(PN)":[28],"generated":[29],"by":[30,89,110],"oscillators":[31],"key":[34],"radio":[35],"impairment":[37],"and":[38,124],"inevitably":[39],"presents":[40],"communication":[42],"systems,":[43],"resulting":[44],"severe":[46],"performance":[47,126,140],"deterioration.":[48],"To":[49],"this":[50],"end,":[51],"we":[52,72,115],"design":[53],"model-driven":[55],"deep":[56,128],"learning":[57,129],"for":[58],"OTFS":[59],"detection":[60,76],"the":[62,79,84,135],"presence":[63],"of":[64,147],"unknown":[65],"PN":[66,90],"V2X":[68],"communication.":[69],"In":[70],"particular,":[71],"propose":[73],"an":[74,98,118],"iterative":[75],"algorithm":[77],"delay-Doppler":[80],"domain":[81],"to":[82,121],"diminish":[83],"inter-carrier":[85],"interference":[86],"(ICI)":[87],"caused":[88],"based":[91],"on":[92],"variational":[93,105],"inference":[94,101],"theory,":[95],"constitutes":[97],"approximate":[99],"probabilistic":[100],"technique":[102],"associated":[103],"with":[104,142],"free":[106],"energy":[107],"minimization.":[108],"Additionally,":[109],"inducing":[111],"some":[112],"trainable":[113],"parameters,":[114],"further":[116],"develop":[117],"unfolding":[119],"approach":[120],"rapidly":[122],"convergence":[123],"improve":[125],"manner.":[130],"Simulation":[131],"results":[132],"demonstrate":[133],"that":[134],"proposed":[136],"detector":[137],"reveals":[138],"state-of-art":[139],"comparing":[141],"other":[143],"solutions":[144],"terms":[146],"bit":[148],"error":[149],"ratio":[150],"(BER).":[151]},"counts_by_year":[],"updated_date":"2026-02-02T03:55:41.653505","created_date":"2026-01-08T00:00:00"}
