{"id":"https://openalex.org/W2789848366","doi":"https://doi.org/10.1109/ccwc.2018.8301731","title":"Demodulation of faded wireless signals using deep convolutional neural networks","display_name":"Demodulation of faded wireless signals using deep convolutional neural networks","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2789848366","doi":"https://doi.org/10.1109/ccwc.2018.8301731","mag":"2789848366"},"language":"en","primary_location":{"id":"doi:10.1109/ccwc.2018.8301731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc.2018.8301731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC)","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/A5072058317","display_name":"Ahmad Saeed Mohammad","orcid":"https://orcid.org/0000-0001-6141-2605"},"institutions":[{"id":"https://openalex.org/I15873915","display_name":"Mustansiriyah University","ror":"https://ror.org/05s04wy35","country_code":"IQ","type":"education","lineage":["https://openalex.org/I15873915"]},{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["IQ","US"],"is_corresponding":true,"raw_author_name":"Ahmad Saeed Mohammad","raw_affiliation_strings":["Collage of Engineering, Mustansiriyah University, Baghdad, Iraq","School of Computing and Engineering, University of Missouri-Kansas City Kansas City, Missouri, USA"],"affiliations":[{"raw_affiliation_string":"Collage of Engineering, Mustansiriyah University, Baghdad, Iraq","institution_ids":["https://openalex.org/I15873915"]},{"raw_affiliation_string":"School of Computing and Engineering, University of Missouri-Kansas City Kansas City, Missouri, USA","institution_ids":["https://openalex.org/I75421653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112355795","display_name":"Narsi Reddy","orcid":null},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Narsi Reddy","raw_affiliation_strings":["School of Computing and Engineering, University of Missouri-Kansas City Kansas City, Missouri, USA","School of Computing and Engineering, University of Missouri-Kansas City, Kansas City, Missouri 64110 USA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Engineering, University of Missouri-Kansas City Kansas City, Missouri, USA","institution_ids":["https://openalex.org/I75421653"]},{"raw_affiliation_string":"School of Computing and Engineering, University of Missouri-Kansas City, Kansas City, Missouri 64110 USA","institution_ids":["https://openalex.org/I75421653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045319425","display_name":"Fathima James","orcid":null},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fathima James","raw_affiliation_strings":["School of Computing and Engineering, University of Missouri-Kansas City Kansas City, Missouri, USA","School of Computing and Engineering, University of Missouri-Kansas City, Kansas City, Missouri 64110 USA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Engineering, University of Missouri-Kansas City Kansas City, Missouri, USA","institution_ids":["https://openalex.org/I75421653"]},{"raw_affiliation_string":"School of Computing and Engineering, University of Missouri-Kansas City, Kansas City, Missouri 64110 USA","institution_ids":["https://openalex.org/I75421653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056902245","display_name":"Cory Beard","orcid":"https://orcid.org/0000-0003-0134-9848"},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cory Beard","raw_affiliation_strings":["School of Computing and Engineering, University of Missouri-Kansas City Kansas City, Missouri, USA","School of Computing and Engineering, University of Missouri-Kansas City, Kansas City, Missouri 64110 USA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Engineering, University of Missouri-Kansas City Kansas City, Missouri, USA","institution_ids":["https://openalex.org/I75421653"]},{"raw_affiliation_string":"School of Computing and Engineering, University of Missouri-Kansas City, Kansas City, Missouri 64110 USA","institution_ids":["https://openalex.org/I75421653"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072058317"],"corresponding_institution_ids":["https://openalex.org/I15873915","https://openalex.org/I75421653"],"apc_list":null,"apc_paid":null,"fwci":2.9319,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.92749064,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"969","last_page":"975"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T10860","display_name":"Speech and Audio Processing","score":0.996399998664856,"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"}},{"id":"https://openalex.org/T11160","display_name":"Acoustic Wave Resonator Technologies","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/demodulation","display_name":"Demodulation","score":0.8663749694824219},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7003921270370483},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6137769818305969},{"id":"https://openalex.org/keywords/frequency-shift-keying","display_name":"Frequency-shift keying","score":0.5775637626647949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5690445899963379},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.561083972454071},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.5497522354125977},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5467376708984375},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5343619585037231},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48034560680389404},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.46912312507629395},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4601588249206543},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.43566304445266724},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.422252893447876},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3535770773887634},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.34258896112442017},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.2897717356681824},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.28423383831977844},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.26866477727890015}],"concepts":[{"id":"https://openalex.org/C195251586","wikidata":"https://www.wikidata.org/wiki/Q1185939","display_name":"Demodulation","level":3,"score":0.8663749694824219},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7003921270370483},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6137769818305969},{"id":"https://openalex.org/C163996819","wikidata":"https://www.wikidata.org/wiki/Q1166054","display_name":"Frequency-shift keying","level":4,"score":0.5775637626647949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5690445899963379},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.561083972454071},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.5497522354125977},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5467376708984375},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5343619585037231},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48034560680389404},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.46912312507629395},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4601588249206543},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.43566304445266724},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.422252893447876},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3535770773887634},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34258896112442017},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2897717356681824},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.28423383831977844},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.26866477727890015}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccwc.2018.8301731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc.2018.8301731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1522301498","https://openalex.org/W1857884451","https://openalex.org/W1885185971","https://openalex.org/W1947481528","https://openalex.org/W2032784723","https://openalex.org/W2085932302","https://openalex.org/W2095705004","https://openalex.org/W2102954932","https://openalex.org/W2106604903","https://openalex.org/W2109886035","https://openalex.org/W2114273214","https://openalex.org/W2129760787","https://openalex.org/W2143612262","https://openalex.org/W2145287260","https://openalex.org/W2149497729","https://openalex.org/W2161739261","https://openalex.org/W2167634814","https://openalex.org/W2319210109","https://openalex.org/W2327045727","https://openalex.org/W2341614475","https://openalex.org/W2603396821","https://openalex.org/W2621721028","https://openalex.org/W2902583107","https://openalex.org/W2951183276","https://openalex.org/W2962826786","https://openalex.org/W2963622214","https://openalex.org/W2964121744","https://openalex.org/W2964241990","https://openalex.org/W3150545121","https://openalex.org/W4285719527","https://openalex.org/W6631190155","https://openalex.org/W6638969170","https://openalex.org/W6674330103","https://openalex.org/W6676562027","https://openalex.org/W6680145277","https://openalex.org/W6681342084","https://openalex.org/W6682073222","https://openalex.org/W6683888352","https://openalex.org/W6756319383"],"related_works":["https://openalex.org/W2364031918","https://openalex.org/W2988495901","https://openalex.org/W2972940596","https://openalex.org/W2154236595","https://openalex.org/W2603183395","https://openalex.org/W2120702055","https://openalex.org/W2099812103","https://openalex.org/W2055927355","https://openalex.org/W2073378780","https://openalex.org/W2103813964"],"abstract_inverted_index":{"This":[0,159],"paper":[1],"demonstrates":[2],"exceptional":[3],"performance":[4],"of":[5,20,77],"approximately":[6],"10.0":[7],"dB":[8,45],"learning-based":[9],"gain":[10],"using":[11,132],"the":[12,56,65,75,146,150,164,171],"Deep":[13,57],"Convolutional":[14,58],"Neural":[15,59],"Network":[16,60],"(DCNN)":[17,61],"for":[18,74],"demodulation":[19,29,131],"a":[21],"Rayleigh-faded":[22],"wireless":[23],"data":[24],"signal.":[25],"We":[26,143],"simulate":[27],"FSK":[28],"over":[30],"an":[31],"AWGN":[32],"Rayleigh":[33],"fading":[34],"channel":[35],"with":[36,149],"average":[37],"signal":[38],"to":[39,46,72,112,126,141],"noise":[40],"ratios":[41],"(SNR)":[42],"from":[43],"10":[44],"20":[47],"dB.":[48],"The":[49],"most":[50],"recent":[51],"and":[52,87,114,155],"accurate":[53],"classifier":[54],"is":[55],"which":[62,105,119],"resulted":[63],"in":[64],"lowest":[66],"error":[67,108,122,137],"bit":[68,107,121,136],"probabilities":[69,109,123,138],"between":[70,85,110,124,139],"0.00128":[71],"0.00019":[73],"range":[76],"SNRs.":[78],"A":[79],"comparative":[80],"study":[81],"has":[82],"been":[83],"applied":[84],"DCNN":[86,151,165],"other":[88],"machine":[89],"learning":[90],"classifiers":[91],"such":[92],"as":[93,170],"Support":[94],"Vector":[95],"Machine":[96],"(SVM),":[97],"Linear":[98],"Discriminant":[99,116],"Analysis":[100,117],"(LDA),":[101],"Multi-Layer":[102],"Perceptron":[103],"(MLP)":[104],"give":[106],"0.021":[111],"0.002,":[113],"Quadratic":[115],"(QDA)":[118],"gives":[120],"0.027":[125],"0.003.":[127],"Frequency-shift":[128],"keying":[129],"(FSK)":[130],"matched":[133],"filtering":[134],"showed":[135],"0.025":[140],"0.0025.":[142],"also":[144],"discuss":[145],"complexity":[147],"issues":[148],"regarding":[152],"decoding":[153],"rates":[154],"training":[156],"set":[157],"sizes.":[158],"work":[160],"shows":[161],"how":[162],"much":[163],"would":[166],"provide":[167],"substantial":[168],"benefit":[169],"demodulator.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}