{"id":"https://openalex.org/W3184884763","doi":"https://doi.org/10.1109/eucnc/6gsummit51104.2021.9482564","title":"Complex Deep Neural Network Based Intelligent Signal Detection Methods for OFDM-IM Systems","display_name":"Complex Deep Neural Network Based Intelligent Signal Detection Methods for OFDM-IM Systems","publication_year":2021,"publication_date":"2021-06-08","ids":{"openalex":"https://openalex.org/W3184884763","doi":"https://doi.org/10.1109/eucnc/6gsummit51104.2021.9482564","mag":"3184884763"},"language":"en","primary_location":{"id":"doi:10.1109/eucnc/6gsummit51104.2021.9482564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eucnc/6gsummit51104.2021.9482564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Joint European Conference on Networks and Communications &amp; 6G Summit (EuCNC/6G Summit)","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/A5011575768","display_name":"Xiao Chen","orcid":"https://orcid.org/0000-0001-6501-5922"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao Chen","raw_affiliation_strings":["College of Telecommunications and Information Engineering, NJUPT,Nanjing,China","College of Telecommunications and Information Engineering, NJUPT, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, NJUPT,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"College of Telecommunications and Information Engineering, NJUPT, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348894","display_name":"Miao Liu","orcid":"https://orcid.org/0000-0002-1870-4095"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Liu","raw_affiliation_strings":["College of Telecommunications and Information Engineering, NJUPT,Nanjing,China","College of Telecommunications and Information Engineering, NJUPT, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, NJUPT,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"College of Telecommunications and Information Engineering, NJUPT, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027367677","display_name":"Guan Gui","orcid":"https://orcid.org/0000-0003-3888-2881"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guan Gui","raw_affiliation_strings":["College of Telecommunications and Information Engineering, NJUPT,Nanjing,China","College of Telecommunications and Information Engineering, NJUPT, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, NJUPT,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"College of Telecommunications and Information Engineering, NJUPT, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031253024","display_name":"Bamidele Adebisi","orcid":"https://orcid.org/0000-0001-9071-9120"},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bamidele Adebisi","raw_affiliation_strings":["Manchester Metropolitan University,Faculty of Science and Engineering,Department of Engineering,UK"],"affiliations":[{"raw_affiliation_string":"Manchester Metropolitan University,Faculty of Science and Engineering,Department of Engineering,UK","institution_ids":["https://openalex.org/I11983389"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026448728","display_name":"Haris Gacanin","orcid":"https://orcid.org/0000-0003-3168-8883"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Haris Gacanin","raw_affiliation_strings":["RWTH Aachen University,Faculty of Electrical Engineering and Information Technology,Aachen,Germany","Faculty of Electrical Engineering and Information Technology, RWTH Aachen University, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"RWTH Aachen University,Faculty of Electrical Engineering and Information Technology,Aachen,Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Information Technology, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087599025","display_name":"Hikmet Sari","orcid":"https://orcid.org/0000-0001-8114-6164"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hikmet Sari","raw_affiliation_strings":["College of Telecommunications and Information Engineering, NJUPT,Nanjing,China","College of Telecommunications and Information Engineering, NJUPT, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, NJUPT,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"College of Telecommunications and Information Engineering, NJUPT, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5011575768"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":1.3597,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84487452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"90","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9994000196456909,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9840999841690063,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.7758716344833374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.741605818271637},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.6014200448989868},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5632015466690063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5262507796287537},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5178728103637695},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.506339430809021},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.504459023475647},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4661829173564911},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.44118720293045044},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4295380413532257},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.41349127888679504},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.351205050945282},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2465018332004547},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18886658549308777},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1637304127216339}],"concepts":[{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.7758716344833374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.741605818271637},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.6014200448989868},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5632015466690063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5262507796287537},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5178728103637695},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.506339430809021},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.504459023475647},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4661829173564911},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.44118720293045044},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4295380413532257},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.41349127888679504},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.351205050945282},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2465018332004547},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18886658549308777},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1637304127216339},{"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:10.1109/eucnc/6gsummit51104.2021.9482564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eucnc/6gsummit51104.2021.9482564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Joint European Conference on Networks and Communications &amp; 6G Summit (EuCNC/6G Summit)","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":23,"referenced_works":["https://openalex.org/W1650423943","https://openalex.org/W2065793641","https://openalex.org/W2344487751","https://openalex.org/W2744485539","https://openalex.org/W2784478295","https://openalex.org/W2786361328","https://openalex.org/W2943928690","https://openalex.org/W2946774101","https://openalex.org/W2963190722","https://openalex.org/W2964121960","https://openalex.org/W2966728939","https://openalex.org/W2971055251","https://openalex.org/W2986348246","https://openalex.org/W2991513180","https://openalex.org/W3006182894","https://openalex.org/W3006541201","https://openalex.org/W3035079504","https://openalex.org/W3049287738","https://openalex.org/W3088383832","https://openalex.org/W3089739838","https://openalex.org/W3093863039","https://openalex.org/W3105095353","https://openalex.org/W3123268700"],"related_works":["https://openalex.org/W2792339401","https://openalex.org/W2530747331","https://openalex.org/W2125564215","https://openalex.org/W3097525855","https://openalex.org/W2517776947","https://openalex.org/W1986382998","https://openalex.org/W2964954556","https://openalex.org/W3019910406","https://openalex.org/W4317418808","https://openalex.org/W3140124938"],"abstract_inverted_index":{"Advanced":[0],"signal":[1,11,25,75,84,95,130],"detectors":[2],"pose":[3],"a":[4,60,67],"lot":[5],"of":[6,127,135],"technical":[7],"challenges":[8],"for":[9,78,98],"designing":[10],"detection":[12,26,42,53,76,85,96,131],"methods":[13,27,43,97],"in":[14,55,133],"orthogonal":[15],"frequency":[16],"division":[17],"multiplexing":[18],"(OFDM)":[19],"with":[20],"index":[21],"modulation":[22],"(IM).":[23],"Traditional":[24],"such":[28],"as":[29],"maximum":[30],"likelihood":[31],"have":[32],"an":[33],"excessive":[34],"complexity,":[35],"and":[36,66,91,107,139],"existing":[37],"deep":[38,62],"learning":[39],"(DL)":[40],"based":[41,73,113],"can":[44],"reduce":[45],"the":[46,52,81,110,125,128],"complexity":[47],"significantly.":[48],"To":[49],"further":[50],"improve":[51],"performance,":[54],"this":[56],"paper,":[57],"we":[58],"propose":[59],"complex":[61,68],"neural":[63,70],"network":[64,71],"(C-DNN)":[65],"convolution":[69],"(C-CNN)":[72],"intelligent":[74,83],"method":[77,86,132],"OFDM-IM.":[79],"Specifically,":[80],"proposed":[82,94,129],"is":[87],"designed":[88],"by":[89],"C-DNN":[90],"C-CNN.":[92],"The":[93],"OFDM-IM":[99],"use":[100],"pilots":[101],"to":[102,108,123],"achieve":[103],"semi-blind":[104],"channel":[105,115],"estimation,":[106],"reconstruct":[109],"transmitted":[111],"symbols":[112],"on":[114],"state":[116],"information":[117],"(CSI).":[118],"Simulation":[119],"results":[120],"are":[121],"given":[122],"confirm":[124],"performance":[126],"terms":[134],"bit":[136],"error":[137],"rate":[138],"convergence":[140],"speed.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4}],"updated_date":"2026-01-17T23:10:49.606395","created_date":"2025-10-10T00:00:00"}
