{"id":"https://openalex.org/W4408100601","doi":"https://doi.org/10.1109/tvt.2025.3547434","title":"Modulation Classification for Overlapped Signals via Clustering Analysis of Super-Constellations","display_name":"Modulation Classification for Overlapped Signals via Clustering Analysis of Super-Constellations","publication_year":2025,"publication_date":"2025-03-03","ids":{"openalex":"https://openalex.org/W4408100601","doi":"https://doi.org/10.1109/tvt.2025.3547434"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2025.3547434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3547434","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5048634550","display_name":"Gaurav Jajoo","orcid":"https://orcid.org/0000-0001-5234-8867"},"institutions":[{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Gaurav Jajoo","raw_affiliation_strings":["Artificial Intelligence department of SpanIdea Systems Pvt. Ltd, Jodhpur, India","Artificial Intelligence department of SpanIdea Systems Pvt. Ltd"],"raw_orcid":"https://orcid.org/0000-0001-5234-8867","affiliations":[{"raw_affiliation_string":"Artificial Intelligence department of SpanIdea Systems Pvt. Ltd, Jodhpur, India","institution_ids":["https://openalex.org/I4210164862"]},{"raw_affiliation_string":"Artificial Intelligence department of SpanIdea Systems Pvt. Ltd","institution_ids":["https://openalex.org/I4210164862"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090868094","display_name":"Prem Singh","orcid":"https://orcid.org/0000-0002-4649-4152"},"institutions":[{"id":"https://openalex.org/I181514455","display_name":"International Institute of Information Technology Bangalore","ror":"https://ror.org/05h9eqy10","country_code":"IN","type":"education","lineage":["https://openalex.org/I181514455"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prem Singh","raw_affiliation_strings":["ECE department, IIIT Bangalore, Bangalore, India","ECE departmentIIIT Bangalore"],"raw_orcid":"https://orcid.org/0000-0002-4649-4152","affiliations":[{"raw_affiliation_string":"ECE department, IIIT Bangalore, Bangalore, India","institution_ids":["https://openalex.org/I181514455"]},{"raw_affiliation_string":"ECE departmentIIIT Bangalore","institution_ids":["https://openalex.org/I181514455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048634550"],"corresponding_institution_ids":["https://openalex.org/I4210164862"],"apc_list":null,"apc_paid":null,"fwci":6.5198,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.95717608,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"74","issue":"7","first_page":"10896","last_page":"10911"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9864000082015991,"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":0.9864000082015991,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9635999798774719,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.6753377914428711},{"id":"https://openalex.org/keywords/constellation","display_name":"Constellation","score":0.6500482559204102},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6269076466560364},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.468600869178772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.454773873090744},{"id":"https://openalex.org/keywords/quadrature-amplitude-modulation","display_name":"Quadrature amplitude modulation","score":0.44376543164253235},{"id":"https://openalex.org/keywords/frequency-modulation","display_name":"Frequency modulation","score":0.4426910877227783},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.38582247495651245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3800985515117645},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3011121153831482},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2711455821990967},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20216476917266846},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.19841188192367554},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.15680378675460815},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.1408020257949829},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.12082737684249878}],"concepts":[{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.6753377914428711},{"id":"https://openalex.org/C70352696","wikidata":"https://www.wikidata.org/wiki/Q8928","display_name":"Constellation","level":2,"score":0.6500482559204102},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6269076466560364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.468600869178772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.454773873090744},{"id":"https://openalex.org/C32409245","wikidata":"https://www.wikidata.org/wiki/Q749753","display_name":"Quadrature amplitude modulation","level":4,"score":0.44376543164253235},{"id":"https://openalex.org/C11930861","wikidata":"https://www.wikidata.org/wiki/Q181417","display_name":"Frequency modulation","level":3,"score":0.4426910877227783},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.38582247495651245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3800985515117645},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3011121153831482},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2711455821990967},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20216476917266846},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.19841188192367554},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.15680378675460815},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.1408020257949829},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.12082737684249878},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2025.3547434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3547434","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1552439670","https://openalex.org/W1564490639","https://openalex.org/W1966513311","https://openalex.org/W1972740834","https://openalex.org/W1973487321","https://openalex.org/W1997834106","https://openalex.org/W2005956500","https://openalex.org/W2027760195","https://openalex.org/W2045691329","https://openalex.org/W2048654658","https://openalex.org/W2049449008","https://openalex.org/W2051224630","https://openalex.org/W2055224708","https://openalex.org/W2103980348","https://openalex.org/W2113049834","https://openalex.org/W2114267371","https://openalex.org/W2147893740","https://openalex.org/W2170778725","https://openalex.org/W2324662912","https://openalex.org/W2342475147","https://openalex.org/W2529501920","https://openalex.org/W2548159479","https://openalex.org/W2560119283","https://openalex.org/W2598084279","https://openalex.org/W2737190155","https://openalex.org/W2744207893","https://openalex.org/W2752986395","https://openalex.org/W2803445619","https://openalex.org/W2913545708","https://openalex.org/W2956830196","https://openalex.org/W2990554528","https://openalex.org/W3000943722","https://openalex.org/W3008364176","https://openalex.org/W3011724393","https://openalex.org/W3027021994","https://openalex.org/W3080267864","https://openalex.org/W3091886083","https://openalex.org/W3137240327","https://openalex.org/W4213251304","https://openalex.org/W4232120769","https://openalex.org/W4250135115","https://openalex.org/W4317795318","https://openalex.org/W4320713356","https://openalex.org/W4379527172","https://openalex.org/W6850955138"],"related_works":["https://openalex.org/W4387474130","https://openalex.org/W2004723848","https://openalex.org/W2086788376","https://openalex.org/W2093157008","https://openalex.org/W1518527075","https://openalex.org/W2162174235","https://openalex.org/W2054254129","https://openalex.org/W2143773860","https://openalex.org/W2068642629","https://openalex.org/W2012415775"],"abstract_inverted_index":{"Modulation":[0],"recognition":[1],"(MR)":[2],"plays":[3],"an":[4,38],"important":[5],"role":[6],"in":[7,48,63,89],"military":[8],"and":[9,14,98,121,130,164,167],"civilian":[10],"applications":[11],"of":[12,46,60,119,150,181],"cooperative":[13],"non-cooperative":[15],"communications.":[16],"The":[17,101,142],"existing":[18,198],"literature":[19],"has":[20,192],"introduced":[21],"several":[22],"MR":[23,39,69],"methods":[24,161,174],"for":[25,70],"single-user":[26],"scenarios":[27],"but":[28],"few":[29],"papers":[30],"have":[31],"studied":[32],"multi-user":[33],"MR.":[34,141],"This":[35],"work":[36],"proposes":[37],"method":[40,153,191],"that":[41,146,175,188],"employs":[42],"a":[43,49],"clustering":[44,107],"analysis":[45,186],"super-constellation":[47,55],"completely":[50],"overlapped":[51],"MU":[52],"scenario.":[53],"A":[54,67],"refers":[56],"to":[57,114,138],"the":[58,64,116,126,147,151,159,171,179,189,197],"mapping":[59],"superposed":[61],"symbols":[62],"I/Q":[65],"plane.":[66],"blind":[68],"stealthy":[71],"decoding":[72],"conversation":[73],"between":[74],"two":[75],"users":[76],"is":[77,154],"considered":[78],"with":[79,109,170],"parameters":[80],"like":[81,162],"user":[82],"gain,":[83],"noise":[84],"variance":[85],"etc.":[86],"being":[87],"unknown":[88],"practical":[90],"impairments":[91],"such":[92],"as":[93],"carrier":[94],"frequency":[95],"offset,":[96],"timing":[97],"phase":[99],"offsets.":[100],"proposed":[102,152,190],"algorithm":[103],"utilizes":[104],"agglomerative":[105],"hierarchical":[106],"along":[108],"various":[110],"cluster":[111],"validation":[112],"techniques":[113],"determine":[115],"optimal":[117],"number":[118],"clusters":[120],"their":[122],"respective":[123],"centroids":[124,137],"within":[125],"super-constellation.":[127],"Subsequently,":[128],"amplitude":[129],"phase-based":[131],"features":[132],"are":[133],"extracted":[134],"from":[135],"these":[136],"enable":[139],"accurate":[140],"simulation":[143],"results":[144],"demonstrate":[145],"classification":[148],"accuracy":[149],"i)":[155],"significantly":[156,193],"better":[157],"than":[158,196],"features-based":[160],"cumulants":[163],"higher-order":[165],"statistics;":[166],"ii)":[168],"comparable":[169],"deep":[172],"learning-based":[173],"crucially":[176],"rely":[177],"on":[178],"availability":[180],"training":[182],"data.":[183],"Furthermore,":[184],"our":[185],"reveals":[187],"lower":[194],"complexity":[195],"techniques.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
