{"id":"https://openalex.org/W2580817561","doi":"https://doi.org/10.1109/iccs.2016.7833571","title":"Deep learning-based automated modulation classification for cognitive radio","display_name":"Deep learning-based automated modulation classification for cognitive radio","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2580817561","doi":"https://doi.org/10.1109/iccs.2016.7833571","mag":"2580817561"},"language":"en","primary_location":{"id":"doi:10.1109/iccs.2016.7833571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccs.2016.7833571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Communication Systems (ICCS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5053213080","display_name":"Gihan J. Mendis","orcid":"https://orcid.org/0000-0002-3949-9641"},"institutions":[{"id":"https://openalex.org/I110152177","display_name":"University of Akron","ror":"https://ror.org/02kyckx55","country_code":"US","type":"education","lineage":["https://openalex.org/I110152177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gihan J. Mendis","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Akron, Akron, Ohio"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Akron, Akron, Ohio","institution_ids":["https://openalex.org/I110152177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109399861","display_name":"Jin Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I110152177","display_name":"University of Akron","ror":"https://ror.org/02kyckx55","country_code":"US","type":"education","lineage":["https://openalex.org/I110152177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jin Wei","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Akron, Akron, Ohio"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Akron, Akron, Ohio","institution_ids":["https://openalex.org/I110152177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064035420","display_name":"Arjuna Madanayake","orcid":"https://orcid.org/0000-0003-3478-6702"},"institutions":[{"id":"https://openalex.org/I110152177","display_name":"University of Akron","ror":"https://ror.org/02kyckx55","country_code":"US","type":"education","lineage":["https://openalex.org/I110152177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arjuna Madanayake","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Akron, Akron, Ohio"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Akron, Akron, Ohio","institution_ids":["https://openalex.org/I110152177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I110152177"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":167,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9851999878883362,"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":0.965399980545044,"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/deep-belief-network","display_name":"Deep belief network","score":0.7451092004776001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6993275880813599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6857684254646301},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6643438339233398},{"id":"https://openalex.org/keywords/phase-shift-keying","display_name":"Phase-shift keying","score":0.6167214512825012},{"id":"https://openalex.org/keywords/quadrature-amplitude-modulation","display_name":"Quadrature amplitude modulation","score":0.6042760014533997},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.5941408276557922},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.5392772555351257},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5195184350013733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5102958679199219},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3997155427932739},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3336278796195984},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1967267394065857},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.1189696192741394},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.08738577365875244},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.08133390545845032}],"concepts":[{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.7451092004776001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6993275880813599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6857684254646301},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6643438339233398},{"id":"https://openalex.org/C186378180","wikidata":"https://www.wikidata.org/wiki/Q4874866","display_name":"Phase-shift keying","level":4,"score":0.6167214512825012},{"id":"https://openalex.org/C32409245","wikidata":"https://www.wikidata.org/wiki/Q749753","display_name":"Quadrature amplitude modulation","level":4,"score":0.6042760014533997},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.5941408276557922},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.5392772555351257},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5195184350013733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5102958679199219},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3997155427932739},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3336278796195984},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1967267394065857},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.1189696192741394},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.08738577365875244},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.08133390545845032},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccs.2016.7833571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccs.2016.7833571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Communication Systems (ICCS)","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":24,"referenced_works":["https://openalex.org/W66838807","https://openalex.org/W2005956500","https://openalex.org/W2006366850","https://openalex.org/W2035328597","https://openalex.org/W2047187001","https://openalex.org/W2054912984","https://openalex.org/W2055224708","https://openalex.org/W2071707134","https://openalex.org/W2106186328","https://openalex.org/W2127925790","https://openalex.org/W2130014182","https://openalex.org/W2136922672","https://openalex.org/W2136936677","https://openalex.org/W2142619593","https://openalex.org/W2202505358","https://openalex.org/W2309204594","https://openalex.org/W2339369739","https://openalex.org/W2346675370","https://openalex.org/W2512994861","https://openalex.org/W2518755495","https://openalex.org/W4251817184","https://openalex.org/W6652115764","https://openalex.org/W6680066585","https://openalex.org/W6687515990"],"related_works":["https://openalex.org/W2893995248","https://openalex.org/W2085207364","https://openalex.org/W2148868771","https://openalex.org/W2901356766","https://openalex.org/W2408534990","https://openalex.org/W1993069619","https://openalex.org/W2018164385","https://openalex.org/W2003011219","https://openalex.org/W2366061186","https://openalex.org/W2184919146"],"abstract_inverted_index":{"Automated":[0],"Modulation":[1],"Classification":[2],"(AMC)":[3],"has":[4],"been":[5],"applied":[6,45],"in":[7,61,69,75,91,101],"various":[8,102],"emerging":[9],"areas":[10],"such":[11],"as":[12],"cognitive":[13],"radio":[14],"(CR).":[15],"In":[16,32],"our":[17,33,88],"paper,":[18],"we":[19,65],"propose":[20],"a":[21],"deep":[22,37],"learning-based":[23],"AMC":[24],"method":[25,90],"that":[26,58],"employs":[27],"Spectral":[28],"Correlation":[29],"Function":[30],"(SCF).":[31],"proposed":[34,89],"method,":[35],"one":[36],"learning":[38,62],"technology,":[39],"Deep":[40],"Belief":[41],"Network":[42],"(DBN),":[43],"is":[44,59],"for":[46],"pattern":[47],"recognition":[48],"and":[49,56,72,97],"classification.":[50],"By":[51],"using":[52],"noise-resilient":[53],"SCF":[54],"signatures":[55],"DBN":[57],"effective":[60],"complex":[63],"patterns,":[64],"achieve":[66],"high":[67],"accuracy":[68],"modulation":[70,99],"detection":[71],"classification":[73],"even":[74],"the":[76,85],"presence":[77],"of":[78,87],"environment":[79],"noise.":[80],"Our":[81],"simulation":[82],"results":[83],"illustrate":[84],"efficiency":[86],"classifying":[92],"4FSK,":[93],"16QAM,":[94],"BPSK,":[95],"QPSK,":[96],"OFDM":[98],"techniques":[100],"environments.":[103]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":34},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":8}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}