{"id":"https://openalex.org/W4402628875","doi":"https://doi.org/10.1109/apwcs61586.2024.10679325","title":"Blind Identification of Interleavers Using Deep Learning Neural Network","display_name":"Blind Identification of Interleavers Using Deep Learning Neural Network","publication_year":2024,"publication_date":"2024-08-21","ids":{"openalex":"https://openalex.org/W4402628875","doi":"https://doi.org/10.1109/apwcs61586.2024.10679325"},"language":"en","primary_location":{"id":"doi:10.1109/apwcs61586.2024.10679325","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/apwcs61586.2024.10679325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS)","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/A5104244968","display_name":"Nayim Ahamed","orcid":null},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nayim Ahamed","raw_affiliation_strings":["Indian Institute of Technology,Department of Electrical Engineering,Indore,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Department of Electrical Engineering,Indore,India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059439743","display_name":"B Naveen","orcid":"https://orcid.org/0000-0002-7085-4912"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Naveen B","raw_affiliation_strings":["Indian Institute of Technology,Department of Electrical Engineering,Indore,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Department of Electrical Engineering,Indore,India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036877094","display_name":"R Swaminathan","orcid":"https://orcid.org/0000-0002-8254-0144"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Swaminathan R","raw_affiliation_strings":["Indian Institute of Technology,Department of Electrical Engineering,Indore,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Department of Electrical Engineering,Indore,India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084786316","display_name":"Yepuri Sudhakara Rao","orcid":"https://orcid.org/0000-0002-3612-0149"},"institutions":[{"id":"https://openalex.org/I168639165","display_name":"Singapore Institute of Technology","ror":"https://ror.org/01v2c2791","country_code":"SG","type":"education","lineage":["https://openalex.org/I168639165"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yepuri Sudhakara Rao","raw_affiliation_strings":["Singapore Institute of Technology,Future Communications Translation Lab (FCTLab),Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Institute of Technology,Future Communications Translation Lab (FCTLab),Singapore","institution_ids":["https://openalex.org/I168639165"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18687385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9585999846458435,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9585999846458435,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9218999743461609,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6947275400161743},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6890091896057129},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6613227128982544},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5872833132743835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5096642971038818},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.47245052456855774},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3444865345954895},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3285231292247772}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6947275400161743},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6890091896057129},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6613227128982544},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5872833132743835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5096642971038818},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.47245052456855774},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3444865345954895},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3285231292247772},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apwcs61586.2024.10679325","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/apwcs61586.2024.10679325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2129619337","https://openalex.org/W2507291446","https://openalex.org/W2597867592","https://openalex.org/W2620575490","https://openalex.org/W2759918731","https://openalex.org/W2786251886","https://openalex.org/W2970575518","https://openalex.org/W3089238900","https://openalex.org/W3107863907","https://openalex.org/W3125995772","https://openalex.org/W3129694574","https://openalex.org/W3157857034","https://openalex.org/W3172677986","https://openalex.org/W3192709277"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W2898732673","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W2410053581"],"abstract_inverted_index":{"Channel":[0],"encoders":[1,33,86],"and":[2,12,34,61,69,75,78,87,120,134,145,180],"interleavers":[3,35,88,140],"play":[4],"a":[5,21,105],"significant":[6],"role":[7],"in":[8,20,54,70,90,211],"correcting":[9],"the":[10,17,26,29,44,51,58,92,101,131,135,139,151,172,176,190,205,212],"random":[11],"burst":[13],"errors":[14],"introduced":[15],"by":[16],"noisy":[18],"channel":[19,32],"digital":[22],"communication":[23,56],"system.":[24],"Usually,":[25],"information":[27],"regarding":[28],"type":[30,60],"of":[31,72,84,103,114,142],"along":[36],"with":[37,175],"their":[38],"parameters,":[39],"which":[40,116],"are":[41,63,117],"used":[42],"at":[43,50,161,189],"transmitting":[45],"end,":[46],"will":[47],"be":[48],"available":[49,210],"receiver.":[52],"But":[53],"military":[55],"systems,":[57,81],"encoder/interleaver":[59],"parameters":[62],"either":[64],"partially":[65],"known":[66],"or":[67],"unknown":[68],"case":[71],"reconfigurable":[73],"receivers":[74],"adaptive":[76],"modulation":[77],"coding":[79],"(AMC)-based":[80],"blind":[82],"identification":[83],"chan-nel":[85],"helps":[89],"improving":[91],"spectral":[93],"efficiency.":[94],"In":[95,149],"this":[96],"paper,":[97],"we":[98],"have":[99],"explored":[100],"possibility":[102],"utilizing":[104],"deep":[106],"learning":[107],"approach":[108,209],"for":[109,130,184],"identifying":[110],"three":[111],"different":[112],"types":[113],"interleavers,":[115],"block,":[118],"convolutional,":[119],"helical":[121],"interleavers.":[122],"We":[123],"employ":[124],"convolutional":[125,146,185],"neural":[126],"network":[127],"(CNN)":[128],"model":[129,155,198],"classification":[132,157,201],"task":[133],"input":[136,177],"data":[137],"to":[138,204],"consist":[141],"block":[143],"encoded":[144,147,186],"data.":[148,187],"both":[150],"cases,":[152],"our":[153,197],"CNN":[154],"achieves":[156],"accuracy":[158,173,202],"exceeding":[159],"95%":[160],"varying":[162],"signal-to-noise":[163],"ratio":[164],"(SNR)":[165],"values.":[166],"Our":[167],"findings":[168],"also":[169],"indicate":[170],"that":[171],"improves":[174],"sample":[178],"length":[179],"it":[181],"is":[182],"better":[183],"Finally,":[188],"same":[191],"bit":[192],"error":[193],"rate":[194],"(BER)":[195],"value,":[196],"demonstrates":[199],"superior":[200],"compared":[203],"existing":[206],"algebraic":[207],"rank-based":[208],"literature.":[213]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}