{"id":"https://openalex.org/W4407948629","doi":"https://doi.org/10.1109/twc.2025.3542426","title":"CRS-Based Joint CFO and Channel Estimation Using Deep Learning in OFDM-Based Vehicular Communication Systems","display_name":"CRS-Based Joint CFO and Channel Estimation Using Deep Learning in OFDM-Based Vehicular Communication Systems","publication_year":2025,"publication_date":"2025-02-26","ids":{"openalex":"https://openalex.org/W4407948629","doi":"https://doi.org/10.1109/twc.2025.3542426"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2025.3542426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2025.3542426","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101939770","display_name":"Hong Wu","orcid":"https://orcid.org/0000-0003-0100-3142"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Wu","raw_affiliation_strings":["College of Electronic Information and Optical Engineering and the Engineering Research Center of Thin Film Optoelectronics Technology, Ministry of Education, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-0100-3142","affiliations":[{"raw_affiliation_string":"College of Electronic Information and Optical Engineering and the Engineering Research Center of Thin Film Optoelectronics Technology, Ministry of Education, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078293151","display_name":"Zhuo Chen","orcid":"https://orcid.org/0000-0003-3960-906X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhuo Chen","raw_affiliation_strings":["Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-3960-906X","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037543600","display_name":"Zhiang Liu","orcid":"https://orcid.org/0000-0002-3319-4492"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiang Liu","raw_affiliation_strings":["Institute of Robotics and Automatic Information Systems, College of Artificial Intelligence, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, China","Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-3319-4492","affiliations":[{"raw_affiliation_string":"Institute of Robotics and Automatic Information Systems, College of Artificial Intelligence, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103208609","display_name":"Xue Geng","orcid":"https://orcid.org/0000-0001-5767-6739"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xue Geng","raw_affiliation_strings":["Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-5767-6739","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100511588","display_name":"Yingxin Zhao","orcid":"https://orcid.org/0000-0001-5080-6959"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yingxin Zhao","raw_affiliation_strings":["Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-5080-6959","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Tianjin, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100670657","display_name":"Zhiyang Liu","orcid":"https://orcid.org/0000-0003-1057-8706"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyang Liu","raw_affiliation_strings":["Institute of Robotics and Automatic Information Systems, College of Artificial Intelligence, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, China","Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-1057-8706","affiliations":[{"raw_affiliation_string":"Institute of Robotics and Automatic Information Systems, College of Artificial Intelligence, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Tianjin, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1638,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.93900162,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"24","issue":"5","first_page":"3882","last_page":"3893"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","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/T10125","display_name":"Advanced Wireless Communication Techniques","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/T11873","display_name":"PAPR reduction in OFDM","score":0.9995999932289124,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994999766349792,"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/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.7775464057922363},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7421144843101501},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.7216882705688477},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5191449522972107},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.41289421916007996},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3373551070690155},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.31639835238456726},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09582191705703735}],"concepts":[{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.7775464057922363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7421144843101501},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.7216882705688477},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5191449522972107},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.41289421916007996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3373551070690155},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.31639835238456726},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09582191705703735},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2025.3542426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2025.3542426","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G153947777","display_name":null,"funder_award_id":"U2031208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6888497074","display_name":null,"funder_award_id":"23YDTPJC00850","funder_id":"https://openalex.org/F4320336612","funder_display_name":"Science and Technology Innovation Foundation of Harbin"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336612","display_name":"Science and Technology Innovation Foundation of Harbin","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1601655690","https://openalex.org/W1980502833","https://openalex.org/W1986681903","https://openalex.org/W2009101362","https://openalex.org/W2009189118","https://openalex.org/W2036881863","https://openalex.org/W2038297073","https://openalex.org/W2046332036","https://openalex.org/W2046553641","https://openalex.org/W2101821671","https://openalex.org/W2103699908","https://openalex.org/W2119857453","https://openalex.org/W2125338648","https://openalex.org/W2130952788","https://openalex.org/W2133698785","https://openalex.org/W2155485201","https://openalex.org/W2171646033","https://openalex.org/W2258695288","https://openalex.org/W2272774410","https://openalex.org/W2594892208","https://openalex.org/W2734408173","https://openalex.org/W2770752303","https://openalex.org/W2802591276","https://openalex.org/W2886374543","https://openalex.org/W2903076565","https://openalex.org/W2925043682","https://openalex.org/W2941806810","https://openalex.org/W2963290405","https://openalex.org/W2963836746","https://openalex.org/W2963889719","https://openalex.org/W2969347287","https://openalex.org/W2981207549","https://openalex.org/W2996740027","https://openalex.org/W3009376554","https://openalex.org/W3011054152","https://openalex.org/W3019546206","https://openalex.org/W3047392726","https://openalex.org/W3087988061","https://openalex.org/W3094181544","https://openalex.org/W3095062876","https://openalex.org/W3128783847","https://openalex.org/W3194207799","https://openalex.org/W3210048667","https://openalex.org/W3212708850","https://openalex.org/W4205688290","https://openalex.org/W4226354398","https://openalex.org/W4312765901","https://openalex.org/W4319297672","https://openalex.org/W4361855756","https://openalex.org/W4390970406","https://openalex.org/W4392152005","https://openalex.org/W4400471606","https://openalex.org/W6631190155","https://openalex.org/W6746024572","https://openalex.org/W6847363464"],"related_works":["https://openalex.org/W2792339401","https://openalex.org/W2530747331","https://openalex.org/W3097525855","https://openalex.org/W2125564215","https://openalex.org/W4391741972","https://openalex.org/W1986382998","https://openalex.org/W2517776947","https://openalex.org/W2084482193","https://openalex.org/W2972611783","https://openalex.org/W4243590696"],"abstract_inverted_index":{"Vehicular":[0],"communication":[1,30],"in":[2,10,42,153,191],"high":[3],"mobility":[4],"environments":[5],"has":[6,170,188],"been":[7],"widely":[8],"explored":[9],"recent":[11],"years.":[12],"However,":[13],"due":[14],"to":[15],"the":[16,26,108,111,118,131,141,145,192,195],"existence":[17],"of":[18,28,80,98,110,155,194,197],"carrier":[19],"frequency":[20,65],"offset":[21],"(CFO)":[22],"and":[23,49,54,91,121,140,160,173,184],"dynamic":[24],"channel,":[25],"performance":[27,152,163],"vehicular":[29],"systems":[31],"over":[32],"fast":[33],"time-varying":[34],"scenes":[35],"drops":[36],"severely.":[37],"To":[38],"address":[39],"this":[40,43],"problem,":[41],"paper,":[44],"we":[45,71],"propose":[46],"a":[47,73,81,92],"simple":[48],"effective":[50],"CRS-based":[51],"joint":[52,74,182],"CFO":[53,82,119,156,183],"channel":[55,93,122,158,178,185],"estimation":[56,83,94,159,186],"baseline":[57],"method":[58,169],"using":[59],"deep":[60],"learning":[61,117],"(DL)":[62],"for":[63],"orthogonal":[64],"division":[66],"multiplexing":[67],"(OFDM)":[68],"systems.":[69],"Concretely,":[70],"construct":[72],"neural":[75],"network":[76,84,95],"(NN)":[77],"architecture":[78,104],"consisting":[79],"(CFOENet)":[85],"based":[86],"on":[87],"fully":[88,106],"connected":[89],"layers":[90],"(CENet)":[96],"composed":[97],"convolutional":[99],"layers.":[100],"The":[101,180],"proposed":[102,146,181],"NN":[103],"can":[105,149],"exploit":[107],"correlation":[109],"cell":[112],"reference":[113],"signal":[114],"(CRS),":[115],"while":[116,167],"characteristics":[120],"state":[123],"information":[124],"(CSI)":[125],"changes":[126],"simultaneously,":[127],"which":[128],"highly":[129],"improves":[130],"pilot":[132],"usage":[133],"efficiency.":[134],"We":[135],"conduct":[136],"adequate":[137],"simulation":[138],"experiments,":[139],"results":[142],"demonstrate":[143],"that":[144],"DL-based":[147],"scheme":[148,187],"achieve":[150],"better":[151],"terms":[154],"estimation,":[157],"overall":[161],"system":[162],"than":[164],"conventional":[165],"methods,":[166],"our":[168],"stronger":[171],"robustness":[172],"generalization":[174],"ability":[175],"under":[176],"various":[177],"conditions.":[179],"great":[189],"potential":[190],"field":[193],"Internet":[196],"Vehicles.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}