{"id":"https://openalex.org/W4281667243","doi":"https://doi.org/10.1145/3531232.3531251","title":"A Model-driven Deep Learning Signal Processing Scheme for OFDM System","display_name":"A Model-driven Deep Learning Signal Processing Scheme for OFDM System","publication_year":2022,"publication_date":"2022-03-18","ids":{"openalex":"https://openalex.org/W4281667243","doi":"https://doi.org/10.1145/3531232.3531251"},"language":"en","primary_location":{"id":"doi:10.1145/3531232.3531251","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3531232.3531251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 4th International Conference on Image, Video and Signal Processing","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/A5100361603","display_name":"Jun Li","orcid":"https://orcid.org/0000-0001-5099-3475"},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Li","raw_affiliation_strings":["School of information and automation, Qilu University of Technology (Shandong Academy of Sciences), China"],"affiliations":[{"raw_affiliation_string":"School of information and automation, Qilu University of Technology (Shandong Academy of Sciences), China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397203","display_name":"Wenxin Li","orcid":"https://orcid.org/0000-0001-8323-9268"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Li","raw_affiliation_strings":["School of information and automation, Qilu University of Technology (Shandong Academy of Sciences), China"],"affiliations":[{"raw_affiliation_string":"School of information and automation, Qilu University of Technology (Shandong Academy of Sciences), China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103075437","display_name":"Bo He","orcid":"https://orcid.org/0000-0002-6418-561X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo He","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036304448","display_name":"Tongliang Xin","orcid":"https://orcid.org/0000-0002-9463-0323"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongliang Xin","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences), China"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences), China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048531256","display_name":"Fei Lin","orcid":"https://orcid.org/0000-0003-2771-7688"},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Lin","raw_affiliation_strings":["School of information and automation, Qilu University of Technology (Shandong Academy of Sciences), China"],"affiliations":[{"raw_affiliation_string":"School of information and automation, Qilu University of Technology (Shandong Academy of Sciences), China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100361603"],"corresponding_institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50610353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"131","last_page":"138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":1.0,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11447","display_name":"Blind Source Separation Techniques","score":0.963100016117096,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.8725508451461792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7012615203857422},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6520038843154907},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.5591793060302734},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5333737134933472},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5276989936828613},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5167586207389832},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.49442458152770996},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4795917570590973},{"id":"https://openalex.org/keywords/multiplexing","display_name":"Multiplexing","score":0.4725976586341858},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4503985643386841},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.43406063318252563},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4198927879333496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36955589056015015},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20908668637275696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17188209295272827}],"concepts":[{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.8725508451461792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7012615203857422},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6520038843154907},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.5591793060302734},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5333737134933472},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5276989936828613},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5167586207389832},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.49442458152770996},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4795917570590973},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.4725976586341858},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4503985643386841},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.43406063318252563},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4198927879333496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36955589056015015},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20908668637275696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17188209295272827},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3531232.3531251","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3531232.3531251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 4th International Conference on Image, Video and Signal Processing","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":22,"referenced_works":["https://openalex.org/W1509061701","https://openalex.org/W2059287228","https://openalex.org/W2077516170","https://openalex.org/W2114004090","https://openalex.org/W2144366564","https://openalex.org/W2148032067","https://openalex.org/W2166670884","https://openalex.org/W2508523245","https://openalex.org/W2584943905","https://openalex.org/W2745541172","https://openalex.org/W2773170971","https://openalex.org/W2893910439","https://openalex.org/W2897042325","https://openalex.org/W2962956060","https://openalex.org/W2962964572","https://openalex.org/W2963190722","https://openalex.org/W2963290405","https://openalex.org/W2963889719","https://openalex.org/W2964121960","https://openalex.org/W3005526854","https://openalex.org/W3038960575","https://openalex.org/W3128283204"],"related_works":["https://openalex.org/W2792339401","https://openalex.org/W2530747331","https://openalex.org/W3097525855","https://openalex.org/W2125564215","https://openalex.org/W2517776947","https://openalex.org/W1823550417","https://openalex.org/W2147186021","https://openalex.org/W4321843682","https://openalex.org/W4200390541","https://openalex.org/W2151541251"],"abstract_inverted_index":{"Deep":[0],"learning":[1,42,120],"(DL)":[2],"has":[3],"received":[4],"more":[5,128],"attention":[6],"in":[7,70,142,149],"physical":[8],"layer":[9],"communication.":[10],"Channel":[11],"estimation":[12,131],"(CE)":[13],"and":[14,57,86,106,117],"signal":[15,24,67],"detection":[16],"(SD)":[17],"constitute":[18],"the":[19,23,45,63,71,78,91,100,104,107,110,114,122,137,150],"key":[20],"modules":[21],"within":[22],"processing":[25,68],"chain":[26],"of":[27,94,103,109],"orthogonal":[28],"frequency-division":[29],"multiplexing":[30],"(OFDM)":[31],"communication":[32],"receivers.":[33],"In":[34,74],"this":[35],"paper,":[36],"we":[37,76],"propose":[38],"a":[39,127],"model-driven":[40,123],"deep":[41,119],"scheme":[43,116,139],"for":[44],"OFDM":[46,72],"receiver,":[47],"known":[48],"as":[49],"CSNet,":[50],"which":[51,98],"contains":[52],"two":[53,95],"modules,":[54,96],"CE":[55],"module":[56],"SD":[58],"module.":[59],"This":[60],"structure":[61],"maintains":[62],"block":[64,66],"by":[65],"form":[69],"system.":[73],"addition,":[75],"introduce":[77],"traditional":[79,115],"linear":[80],"algorithms":[81],"minimum":[82],"mean-squared":[83],"error":[84,144],"(LMMSE)":[85],"zero-forcing":[87],"(ZF)":[88],"to":[89],"initialize":[90],"neural":[92],"network":[93],"respectively,":[97],"improve":[99],"training":[101],"speed":[102],"sub-network":[105],"generalization":[108],"model.":[111],"Compared":[112],"with":[113],"data-driven":[118],"scheme,":[121],"DL":[124],"receiver":[125],"provides":[126],"accurate":[129],"channel":[130],"property.":[132],"Simulation":[133],"experiments":[134],"demonstrate":[135],"that":[136],"proposed":[138],"is":[140],"robust":[141],"bit":[143],"ratio":[145],"(BER)":[146],"performance":[147],"especially":[148],"nonlinear":[151],"case.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
