{"id":"https://openalex.org/W4403724282","doi":"https://doi.org/10.1109/iws61525.2024.10713713","title":"Deep Neural Network based Stable Digital Predistortion using ELU Activation for Switchless Class-G Power Amplifier","display_name":"Deep Neural Network based Stable Digital Predistortion using ELU Activation for Switchless Class-G Power Amplifier","publication_year":2024,"publication_date":"2024-05-16","ids":{"openalex":"https://openalex.org/W4403724282","doi":"https://doi.org/10.1109/iws61525.2024.10713713"},"language":"en","primary_location":{"id":"doi:10.1109/iws61525.2024.10713713","doi":"https://doi.org/10.1109/iws61525.2024.10713713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iws61525.2024.10713713","pdf_url":null,"source":{"id":"https://openalex.org/S4363605414","display_name":"IEEE MTT-S International Wireless Symposium (IWS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE MTT-S International Wireless Symposium (IWS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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":null,"display_name":"Xiaoqi Yu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqi Yu","raw_affiliation_strings":["Southern University of Science and Technology,School of Micro-Electronics,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,School of Micro-Electronics,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068738458","display_name":"Xiaohu Fang","orcid":"https://orcid.org/0000-0002-3416-624X","observed_orcids":["https://orcid.org/0000-0002-3416-624X"]},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohu Fang","raw_affiliation_strings":["Southern University of Science and Technology,School of Micro-Electronics,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,School of Micro-Electronics,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682854","display_name":"Jie Shi","orcid":"https://orcid.org/0000-0002-7211-6593","observed_orcids":["https://orcid.org/0000-0002-7211-6593"]},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Shi","raw_affiliation_strings":["Southern University of Science and Technology,School of Micro-Electronics,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,School of Micro-Electronics,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guangsheng Lv","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangsheng Lv","raw_affiliation_strings":["Tsinghua University,Department of Electronic Engineering,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Electronic Engineering,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077310697","display_name":"Changning Wei","orcid":"https://orcid.org/0009-0003-3831-6764","observed_orcids":["https://orcid.org/0009-0003-3831-6764"]},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changning Wei","raw_affiliation_strings":["Shenzhen Polytechnic University,Tech X Academy,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Polytechnic University,Tech X Academy,Shenzhen,China","institution_ids":["https://openalex.org/I182722699"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060323273","display_name":"Jiangwei Sui","orcid":"https://orcid.org/0000-0001-7552-5117","observed_orcids":["https://orcid.org/0000-0001-7552-5117"]},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangwei Sui","raw_affiliation_strings":["Sun Yat-Sen University (Shenzhen Campus),School of Electronic and Communication Engineering,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University (Shenzhen Campus),School of Electronic and Communication Engineering,China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6682,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50161262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11248","display_name":"Advanced Power Amplifier Design","score":0.9994999766349792,"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/T11248","display_name":"Advanced Power Amplifier Design","score":0.9994999766349792,"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":9.999999747378752e-05,"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/T10573","display_name":"Power Quality and Harmonics","score":0.0,"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/digital-predistortion","display_name":"digital predistortion","score":0.9390000104904175},{"id":"https://openalex.org/keywords/power-amplifier-linearization","display_name":"power amplifier linearization","score":0.7310000061988831},{"id":"https://openalex.org/keywords/vanishing-gradient","display_name":"gradient vanishing","score":0.7269999980926514},{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.6589999794960022},{"id":"https://openalex.org/keywords/adjacent-channel-power-ratio","display_name":"adjacent channel power ratio","score":0.8960000276565552},{"id":"https://openalex.org/keywords/wideband-modulation","display_name":"wideband modulation","score":0.6869999766349792},{"id":"https://openalex.org/keywords/nonlinear-power-amplifiers","display_name":"nonlinear power amplifiers","score":0.5649999976158142}],"concepts":[{"id":"https://openalex.org/C2778587875","wikidata":"https://www.wikidata.org/wiki/Q7239686","display_name":"Predistortion","level":4,"score":0.9588980674743652},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.6621338725090027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5436283349990845},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4545712471008301},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4321001172065735},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.40706729888916016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2605656385421753},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17077484726905823},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.170116126537323},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16605335474014282},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15526798367500305},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iws61525.2024.10713713","doi":"https://doi.org/10.1109/iws61525.2024.10713713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iws61525.2024.10713713","pdf_url":null,"source":{"id":"https://openalex.org/S4363605414","display_name":"IEEE MTT-S International Wireless Symposium (IWS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE MTT-S International Wireless Symposium (IWS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1984632264","https://openalex.org/W2136141574","https://openalex.org/W2155482699","https://openalex.org/W2166608639","https://openalex.org/W2808644149","https://openalex.org/W2913661405","https://openalex.org/W2922301133","https://openalex.org/W4390970415"],"related_works":["https://openalex.org/W4207077908","https://openalex.org/W2911654923","https://openalex.org/W2982303820","https://openalex.org/W2913661405","https://openalex.org/W4376478394","https://openalex.org/W2995228442","https://openalex.org/W4417403065","https://openalex.org/W4385831867","https://openalex.org/W4400235527","https://openalex.org/W4392746614"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,50,57,87],"deep":[4],"neural":[5],"network":[6],"(DNN)":[7],"based":[8],"digital":[9],"pre-distortion":[10],"(DPD)":[11],"technique":[12,132],"is":[13,54],"proposed.":[14],"It":[15],"utilizes":[16],"the":[17,24,29,35,41,84,92,99,105,111,127,130,135],"exponential":[18],"linear":[19],"unit":[20],"function":[21],"instead":[22],"of":[23,90,110,129],"sigmoid":[25],"one":[26],"to":[27,67,120],"activate":[28],"hidden":[30],"layer":[31],"neurons,":[32],"consequently":[33],"mitigating":[34],"gradient":[36],"vanishing":[37],"problem":[38],"and":[39,104,117],"accelerating":[40],"DNN":[42],"training.":[43],"For":[44],"validation,":[45],"its":[46],"linearization":[47],"effects":[48],"on":[49],"SLCG":[51,137],"PA":[52,112,138],"that":[53],"excited":[55],"by":[56,115],"256QAM":[58],"signal":[59,85,114,142],"with":[60,72,86],"various":[61],"modulation":[62,88],"bandwidths":[63],"(swept":[64],"from":[65],"20MHz":[66],"200MHz)":[68],"are":[69],"carefully":[70],"compared":[71,119],"other":[73,121],"existing":[74],"DPD":[75,94,123],"algorithms.":[76],"This":[77,125],"comparison":[78],"reveals":[79],"that,":[80],"when":[81],"applied":[82],"under":[83,139],"bandwidth":[89],"200MHz,":[91],"proposed":[93,131],"method":[95],"can":[96],"further":[97],"reduce":[98],"adjacent":[100],"channel":[101],"power":[102],"ratio":[103],"normalized":[106],"mean":[107],"square":[108],"error":[109],"output":[113],"4-8.4dB":[116],"1.3-4.3dB,":[118],"polynomial/NN-based":[122],"methods.":[124],"demonstrates":[126],"superiority":[128],"in":[133],"linearizing":[134],"nonlinear":[136],"wideband":[140],"modulated":[141],"excitations.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2024-10-25T00:00:00"}
