{"id":"https://openalex.org/W4412403977","doi":"https://doi.org/10.1109/tccn.2025.3589007","title":"Deep Learning-Based Impulsive Noise Detection and Impulsive-Noise-Aware Receiver for DFT-S-OFDM Systems","display_name":"Deep Learning-Based Impulsive Noise Detection and Impulsive-Noise-Aware Receiver for DFT-S-OFDM Systems","publication_year":2025,"publication_date":"2025-07-14","ids":{"openalex":"https://openalex.org/W4412403977","doi":"https://doi.org/10.1109/tccn.2025.3589007"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2025.3589007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2025.3589007","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","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/A5060975070","display_name":"Hongzhe Deng","orcid":"https://orcid.org/0009-0003-2041-7575"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzhe Deng","raw_affiliation_strings":["School of Communication and Electronic Engineering, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0003-2041-7575","affiliations":[{"raw_affiliation_string":"School of Communication and Electronic Engineering, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046199549","display_name":"Lingya Liu","orcid":"https://orcid.org/0000-0002-4877-5951"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingya Liu","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086524620","display_name":"Jing Xu","orcid":"https://orcid.org/0000-0002-9911-1581"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Xu","raw_affiliation_strings":["School of Communication and Electronic Engineering, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9911-1581","affiliations":[{"raw_affiliation_string":"School of Communication and Electronic Engineering, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100392621","display_name":"Tong Liu","orcid":"https://orcid.org/0000-0001-8312-1569"},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Liu","raw_affiliation_strings":["China United Network Communication Co., Ltd., Shanghai, China","China United Network Communication Co., Ltd, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China United Network Communication Co., Ltd., Shanghai, China","institution_ids":["https://openalex.org/I6507939"]},{"raw_affiliation_string":"China United Network Communication Co., Ltd, Shanghai, China","institution_ids":["https://openalex.org/I6507939"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":0.12819589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"2455","last_page":"2470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","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"}},"topics":[{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","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/T11873","display_name":"PAPR reduction in OFDM","score":0.989799976348877,"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/T10232","display_name":"Optical Network Technologies","score":0.9850999712944031,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7729714512825012},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.6520525217056274},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6162588000297546},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.5907340049743652},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4214288294315338},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4111436605453491},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2520042061805725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2508975565433502},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.24990642070770264},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.08477610349655151},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08315467834472656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7729714512825012},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.6520525217056274},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6162588000297546},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.5907340049743652},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4214288294315338},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4111436605453491},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2520042061805725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2508975565433502},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.24990642070770264},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.08477610349655151},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08315467834472656},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tccn.2025.3589007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2025.3589007","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3890973167","display_name":null,"funder_award_id":"2024YFE0200200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2020087953","https://openalex.org/W2025563776","https://openalex.org/W2064675550","https://openalex.org/W2101989022","https://openalex.org/W2102939753","https://openalex.org/W2104849640","https://openalex.org/W2111096422","https://openalex.org/W2133871228","https://openalex.org/W2134016524","https://openalex.org/W2138283263","https://openalex.org/W2149122922","https://openalex.org/W2155405129","https://openalex.org/W2170739907","https://openalex.org/W2398517115","https://openalex.org/W2734408173","https://openalex.org/W2884182684","https://openalex.org/W2913132632","https://openalex.org/W3011944543","https://openalex.org/W3014127772","https://openalex.org/W3097072888","https://openalex.org/W3110204606","https://openalex.org/W4206569368","https://openalex.org/W4226494634","https://openalex.org/W4292981226","https://openalex.org/W4361982319","https://openalex.org/W4378697046","https://openalex.org/W4390190276","https://openalex.org/W4392405527"],"related_works":["https://openalex.org/W2327107878","https://openalex.org/W2171117985","https://openalex.org/W1526760723","https://openalex.org/W2012356576","https://openalex.org/W2126659863","https://openalex.org/W3112120395","https://openalex.org/W2756361190","https://openalex.org/W4385670989","https://openalex.org/W2102487628","https://openalex.org/W2593128366"],"abstract_inverted_index":{"Wireless":[0],"communication":[1],"systems":[2],"commonly":[3],"assume":[4],"noise":[5,10,16,38,56,76,128,170],"is":[6,17,41,85,179],"additive":[7],"white":[8],"Gaussian":[9],"(AWGN).":[11],"However,":[12],"in":[13,194],"real-world":[14],"scenarios,":[15],"often":[18],"non-Gaussian,":[19],"rendering":[20],"AWGN-based":[21],"algorithms":[22],"less":[23],"effective.":[24],"Impulsive":[25],"noise,":[26,30],"a":[27,62,147],"typical":[28],"non-Gaussian":[29],"can":[31],"significantly":[32],"degrade":[33],"system":[34],"performance.":[35],"Accurate":[36],"impulsive":[37,55,75,126,169],"position":[39],"detection":[40,57,80,106,114,140],"crucial,":[42],"as":[43],"many":[44],"suppression":[45],"methods":[46],"depend":[47],"on":[48],"this":[49,177],"information.":[50],"This":[51],"paper":[52],"proposes":[53],"an":[54,82,195],"neural":[58,64],"network":[59,65],"(INDNet),":[60],"integrating":[61],"convolutional":[63],"(CNN)":[66],"and":[67,116,134],"bidirectional":[68],"gated":[69],"recurrent":[70],"unit":[71],"(Bi-GRU)":[72],"to":[73,109,144],"detect":[74],"positions.":[77],"Leveraging":[78],"these":[79],"results,":[81],"impulsive-noise-aware":[83,165],"receiver":[84,166,190],"further":[86],"developed":[87],"for":[88],"discrete":[89],"Fourier":[90],"transform":[91],"spread":[92],"orthogonal":[93],"frequency":[94],"division":[95],"multiplexing":[96],"(DFT-S-OFDM)":[97],"systems.":[98],"Simulation":[99],"results":[100],"demonstrate":[101],"that":[102,193],"INDNet":[103,137,158],"achieves":[104],"superior":[105],"performance":[107,186],"compared":[108],"the":[110,125,139,156,181,188],"conventional":[111],"threshold-based":[112],"impulse":[113],"method":[115],"other":[117,153],"advanced":[118],"deep":[119],"learning":[120],"networks.":[121],"In":[122],"particular,":[123],"at":[124],"noise-to-background":[127],"ratio":[129],"(INR)":[130],"of":[131,142,150,172,187],"20":[132],"dB":[133],"large":[135],"Eb/N0,":[136],"maintains":[138],"probability":[141,178],"up":[143],"86.51%,":[145],"achieving":[146],"maximum":[148],"improvement":[149],"44.05%":[151],"over":[152],"methods.":[154],"Additionally,":[155],"proposed":[157,164,189],"demonstrates":[159],"robust":[160],"generalization":[161],"capability.":[162],"The":[163],"effectively":[167],"suppresses":[168],"regardless":[171],"its":[173],"occurrence":[174],"probability.":[175],"When":[176],"low,":[180],"bit":[182],"error":[183],"rate":[184],"(BER)":[185],"closely":[191],"approaches":[192],"AWGN":[196],"scenario.":[197]},"counts_by_year":[],"updated_date":"2025-12-30T23:08:21.542490","created_date":"2025-10-10T00:00:00"}