{"id":"https://openalex.org/W4411799367","doi":"https://doi.org/10.1109/lcomm.2025.3584212","title":"Digital Predistortion of Quadrature Digital Power Amplifiers Using RVRTCNN: Real-Valued Residual Temporal Convolutional Neural Network","display_name":"Digital Predistortion of Quadrature Digital Power Amplifiers Using RVRTCNN: Real-Valued Residual Temporal Convolutional Neural Network","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4411799367","doi":"https://doi.org/10.1109/lcomm.2025.3584212"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2025.3584212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2025.3584212","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","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/A5100759137","display_name":"Jiayu Yang","orcid":"https://orcid.org/0009-0003-9391-8653"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiayu Yang","raw_affiliation_strings":["State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101198145","display_name":"Wending Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wending Zhao","raw_affiliation_strings":["State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657989","display_name":"Yicheng Li","orcid":"https://orcid.org/0000-0003-4447-7452"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yicheng Li","raw_affiliation_strings":["State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028030881","display_name":"Wang Wang","orcid":"https://orcid.org/0000-0002-6976-5699"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Wang","raw_affiliation_strings":["State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040460362","display_name":"Zixu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixu Li","raw_affiliation_strings":["State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008050281","display_name":"Manni Li","orcid":"https://orcid.org/0000-0002-7576-2742"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Manni Li","raw_affiliation_strings":["State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110512823","display_name":"Zijian Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijian Huang","raw_affiliation_strings":["State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013984542","display_name":"Yinyin Lin","orcid":"https://orcid.org/0000-0002-5939-3502"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinyin Lin","raw_affiliation_strings":["State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037491264","display_name":"Yun Yin","orcid":"https://orcid.org/0000-0002-3911-8079"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Yin","raw_affiliation_strings":["State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030822792","display_name":"Hongtao Xu","orcid":"https://orcid.org/0000-0003-1852-4112"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongtao Xu","raw_affiliation_strings":["State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5100759137"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.7467,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74287307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"29","issue":"9","first_page":"2028","last_page":"2032"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11248","display_name":"Advanced Power Amplifier Design","score":0.9991000294685364,"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":0.9991000294685364,"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/T10187","display_name":"Radio Frequency Integrated Circuit Design","score":0.9909999966621399,"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/T11249","display_name":"Wireless Power Transfer Systems","score":0.9513999819755554,"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/predistortion","display_name":"Predistortion","score":0.957791268825531},{"id":"https://openalex.org/keywords/amplifier","display_name":"Amplifier","score":0.6913492679595947},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6792277097702026},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6650964617729187},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5284045934677124},{"id":"https://openalex.org/keywords/quadrature","display_name":"Quadrature (astronomy)","score":0.46940410137176514},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.43604058027267456},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.41787129640579224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39665597677230835},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2991223931312561},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.2560264468193054},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2399829626083374},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09232160449028015},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08531931042671204}],"concepts":[{"id":"https://openalex.org/C2778587875","wikidata":"https://www.wikidata.org/wiki/Q7239686","display_name":"Predistortion","level":4,"score":0.957791268825531},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.6913492679595947},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6792277097702026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6650964617729187},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5284045934677124},{"id":"https://openalex.org/C62869609","wikidata":"https://www.wikidata.org/wiki/Q28137","display_name":"Quadrature (astronomy)","level":2,"score":0.46940410137176514},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.43604058027267456},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.41787129640579224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39665597677230835},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2991223931312561},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.2560264468193054},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2399829626083374},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09232160449028015},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08531931042671204},{"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/lcomm.2025.3584212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2025.3584212","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8299999833106995,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2161181093","https://openalex.org/W2274213189","https://openalex.org/W3004577860","https://openalex.org/W3014121089","https://openalex.org/W3128855577","https://openalex.org/W3162281459","https://openalex.org/W4285195139","https://openalex.org/W4312987736","https://openalex.org/W4364302134","https://openalex.org/W4386596879","https://openalex.org/W4391341593","https://openalex.org/W4401539883","https://openalex.org/W4408183377"],"related_works":["https://openalex.org/W2540210237","https://openalex.org/W2050609909","https://openalex.org/W2166364183","https://openalex.org/W2001465617","https://openalex.org/W2161051577","https://openalex.org/W4328010791","https://openalex.org/W2145608641","https://openalex.org/W2131236856","https://openalex.org/W2359577182","https://openalex.org/W2160527488"],"abstract_inverted_index":{"Deep":[0],"neural":[1,88],"networks":[2],"(DNNs)":[3],"predistortion":[4,78],"models":[5],"of":[6,46,123],"radio":[7],"frequency":[8],"(RF)":[9],"power":[10,175],"amplifiers":[11],"(PAs),":[12],"while":[13],"offering":[14],"excellent":[15],"performance,":[16],"typically":[17],"suffer":[18],"from":[19],"high":[20],"parameter":[21],"counts":[22],"and":[23,109,132,162,178],"computational":[24,164],"complexity.":[25],"Convolutional":[26],"NNs":[27],"(CNNs)":[28],"have":[29],"been":[30],"introduced":[31],"to":[32,37,53,102,118,142,167],"reduce":[33],"model":[34,80,98,153],"complexity":[35,165],"due":[36],"their":[38,51,62],"weight-sharing":[39],"characteristic.":[40],"However,":[41],"the":[42,59,120,151,188],"inherent":[43],"calculation":[44],"mode":[45],"traditional":[47],"convolutional":[48,87],"structures":[49],"limits":[50],"ability":[52,117],"effectively":[54],"capture":[55,110],"temporal":[56,86,112],"dependencies":[57],"within":[58],"data,":[60],"hindering":[61],"effectiveness":[63],"in":[64,68],"addressing":[65],"memory":[66],"effects":[67],"PAs.":[69,124],"In":[70],"this":[71],"letter,":[72],"we":[73],"propose":[74],"an":[75],"enhanced":[76],"digital":[77,93],"(DPD)":[79],"based":[81],"on":[82],"a":[83],"real-valued":[84],"residual":[85],"network":[89],"(RVRTCNN)":[90],"for":[91,187],"quadrature":[92],"PAs":[94],"(QDPAs).":[95],"The":[96],"proposed":[97,145,152],"incorporates":[99],"dilated":[100],"convolutions":[101],"extract":[103],"features":[104],"across":[105],"multiple":[106],"time":[107],"steps":[108],"complex":[111],"dependencies,":[113],"thereby":[114],"enhancing":[115],"its":[116],"address":[119],"dynamic":[121],"nonlinearity":[122],"A":[125],"15-bit":[126],"transformer-based":[127],"QDPA":[128],"chip,":[129],"integrating":[130],"Class-G":[131],"IQ-cell-sharing":[133],"techniques,":[134],"was":[135],"fabricated":[136],"by":[137,183],"28":[138],"nm":[139],"CMOS":[140],"process":[141],"validate":[143],"our":[144],"method.":[146],"Experimental":[147],"results":[148],"demonstrate":[149],"that":[150],"achieves":[154],"superior":[155],"linearization":[156],"performance":[157],"with":[158],"significantly":[159],"fewer":[160],"parameters":[161],"lower":[163],"compared":[166],"state-of-the-art":[168],"(SOTA)":[169],"models,":[170],"improving":[171],"both":[172],"adjacent":[173],"channel":[174],"ratio":[176],"(ACPR)":[177],"error":[179],"vector":[180],"magnitude":[181],"(EVM)":[182],"over":[184],"10":[185],"dB":[186],"802.11ax":[189],"40":[190],"MHz":[191],"64-QAM":[192],"signal.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
