{"id":"https://openalex.org/W7083439869","doi":"https://doi.org/10.1109/tvlsi.2025.3611800","title":"Digital Predistortion for Wide Dynamic Power Range Quadrature Switched-Capacitor Power Amplifiers Using Self-Adaptive Residual LSTM Neural Network","display_name":"Digital Predistortion for Wide Dynamic Power Range Quadrature Switched-Capacitor Power Amplifiers Using Self-Adaptive Residual LSTM Neural Network","publication_year":2025,"publication_date":"2025-09-26","ids":{"openalex":"https://openalex.org/W7083439869","doi":"https://doi.org/10.1109/tvlsi.2025.3611800"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2025.3611800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2025.3611800","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Very Large Scale Integration (VLSI) Systems","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":null,"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":null,"display_name":"Luyi Guo","orcid":"https://orcid.org/0009-0003-2764-0550"},"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":"Luyi Guo","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":null,"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":null,"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":null,"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":null,"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":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.55856738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"12","first_page":"3239","last_page":"3251"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.7892000079154968,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10524","display_name":"Traffic control and management","score":0.7892000079154968,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10370","display_name":"Traffic and Road Safety","score":0.06870000064373016,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.017500000074505806,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.9632999897003174},{"id":"https://openalex.org/keywords/amplifier","display_name":"Amplifier","score":0.7626000046730042},{"id":"https://openalex.org/keywords/linearization","display_name":"Linearization","score":0.6043000221252441},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5842999815940857},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.5550000071525574},{"id":"https://openalex.org/keywords/adjacent-channel-power-ratio","display_name":"Adjacent channel power ratio","score":0.4602999985218048},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4584999978542328},{"id":"https://openalex.org/keywords/linearity","display_name":"Linearity","score":0.4530999958515167},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4187000095844269},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38839998841285706}],"concepts":[{"id":"https://openalex.org/C2778587875","wikidata":"https://www.wikidata.org/wiki/Q7239686","display_name":"Predistortion","level":4,"score":0.9632999897003174},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.7626000046730042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6629999876022339},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.6473000049591064},{"id":"https://openalex.org/C11210021","wikidata":"https://www.wikidata.org/wiki/Q1520713","display_name":"Linearization","level":3,"score":0.6043000221252441},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5842999815940857},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.5550000071525574},{"id":"https://openalex.org/C2776191232","wikidata":"https://www.wikidata.org/wiki/Q4683143","display_name":"Adjacent channel power ratio","level":5,"score":0.4602999985218048},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4584999978542328},{"id":"https://openalex.org/C77170095","wikidata":"https://www.wikidata.org/wiki/Q1753188","display_name":"Linearity","level":2,"score":0.4530999958515167},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4187000095844269},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38839998841285706},{"id":"https://openalex.org/C45872418","wikidata":"https://www.wikidata.org/wiki/Q5318966","display_name":"Dynamic demand","level":3,"score":0.385699987411499},{"id":"https://openalex.org/C62869609","wikidata":"https://www.wikidata.org/wiki/Q28137","display_name":"Quadrature (astronomy)","level":2,"score":0.38260000944137573},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.37599998712539673},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.34950000047683716},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.34279999136924744},{"id":"https://openalex.org/C192615534","wikidata":"https://www.wikidata.org/wiki/Q7247268","display_name":"Process corners","level":3,"score":0.3379000127315521},{"id":"https://openalex.org/C93389723","wikidata":"https://www.wikidata.org/wiki/Q7247313","display_name":"Process variation","level":3,"score":0.323199987411499},{"id":"https://openalex.org/C173413354","wikidata":"https://www.wikidata.org/wiki/Q7049470","display_name":"Nonlinear distortion","level":4,"score":0.3149000108242035},{"id":"https://openalex.org/C65165936","wikidata":"https://www.wikidata.org/wiki/Q575784","display_name":"Baseband","level":3,"score":0.3086000084877014},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C118993495","wikidata":"https://www.wikidata.org/wiki/Q5042828","display_name":"Electrical efficiency","level":3,"score":0.30169999599456787},{"id":"https://openalex.org/C196054291","wikidata":"https://www.wikidata.org/wiki/Q7276624","display_name":"RF power amplifier","level":4,"score":0.3012000024318695},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.29809999465942383},{"id":"https://openalex.org/C32409245","wikidata":"https://www.wikidata.org/wiki/Q749753","display_name":"Quadrature amplitude modulation","level":4,"score":0.29319998621940613},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C2776908912","wikidata":"https://www.wikidata.org/wiki/Q16001834","display_name":"Adjacent channel","level":4,"score":0.2797999978065491},{"id":"https://openalex.org/C65422117","wikidata":"https://www.wikidata.org/wiki/Q358527","display_name":"Transmitter power output","level":4,"score":0.25189998745918274},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvlsi.2025.3611800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2025.3611800","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8839570879936218,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W2029063976","https://openalex.org/W2064675550","https://openalex.org/W2161181093","https://openalex.org/W2247967722","https://openalex.org/W2274213189","https://openalex.org/W2313241827","https://openalex.org/W2485839733","https://openalex.org/W2890250854","https://openalex.org/W2897674241","https://openalex.org/W2913465011","https://openalex.org/W2964350391","https://openalex.org/W2969519626","https://openalex.org/W3004577860","https://openalex.org/W3006743185","https://openalex.org/W3113304719","https://openalex.org/W3212406527","https://openalex.org/W3217294455","https://openalex.org/W4205237527","https://openalex.org/W4205458187","https://openalex.org/W4285230950","https://openalex.org/W4312987736","https://openalex.org/W4319663841","https://openalex.org/W4360606859","https://openalex.org/W4367277023","https://openalex.org/W4386596879","https://openalex.org/W4389076342","https://openalex.org/W4391341593","https://openalex.org/W4392745579","https://openalex.org/W4400230724","https://openalex.org/W4408183367","https://openalex.org/W4410583145"],"related_works":[],"abstract_inverted_index":{"In":[0,124,145,195],"modern":[1],"intelligent":[2],"wireless":[3],"communication":[4,33],"systems,":[5],"the":[6,67,125,128,141,146,149,155,159,167,174,196,223,235],"transmission":[7],"configurations":[8],"of":[9,170,255,265],"radio":[10],"frequency":[11],"(RF)":[12],"power":[13,57,100,115,132,171,189,252,272],"amplifiers":[14],"(PAs)\u2014most":[15],"notably":[16],"transmit":[17],"power\u2014":[18],"dynamically":[19],"change":[20],"across":[21,185],"a":[22,54,70,82,110,114,120,131,186,198,212,269],"wide":[23,98,187],"range":[24,101,190],"to":[25,157,218],"accommodate":[26],"various":[27],"service":[28],"scenarios":[29,49],"and":[30,60,119,206,216,258],"currently":[31],"available":[32],"resources,":[34],"posing":[35],"new":[36],"challenges":[37],"for":[38,48,97],"digital":[39],"predistortion":[40,161],"(DPD).":[41],"Traditional":[42],"DPD":[43],"solutions":[44],"are":[45],"primarily":[46],"designed":[47],"where":[50],"PAs":[51,104],"operate":[52],"at":[53,228],"constant":[55],"average":[56,249,260],"level":[58],"(PL)":[59],"thus":[61],"cannot":[62],"be":[63],"directly":[64],"applied,":[65],"as":[66],"PA":[68],"is":[69,92,137,209],"dynamic":[71,99,188,271],"nonlinear":[72],"system":[73],"significantly":[74],"influenced":[75],"by":[76],"PLs.":[77],"To":[78],"address":[79],"this":[80,95],"issue,":[81],"self-adaptive":[83,183],"residual":[84,121],"long":[85],"short-term":[86],"memory":[87],"(SAR_LSTM)":[88],"neural":[89],"network":[90],"(NN)":[91],"proposed":[93,107,236],"in":[94,173,211],"article":[96],"quadrature":[102,201],"switched-capacitor":[103],"(SCPAs).":[105],"The":[106],"model":[108,237],"adopts":[109],"two-stage":[111],"approach":[112],"comprising":[113],"variation":[116,172],"module":[117],"(PVM)":[118],"LSTM":[122],"(R_LSTM).":[123],"first":[126],"stage,":[127,148],"PVM":[129],"generates":[130],"variation-dependent":[133],"feature":[134],"vector,":[135],"which":[136],"then":[138],"multiplied":[139],"with":[140,177,204,243,247],"original":[142],"input":[143,151],"signal.":[144],"second":[147],"adjusted":[150],"signal":[152,227],"passes":[153],"through":[154],"R_LSTM":[156],"perform":[158],"corresponding":[160],"calibration.":[162],"This":[163],"process":[164,215],"tightly":[165],"integrates":[166],"underlying":[168],"causes":[169],"SCPA":[175,202],"circuit":[176],"our":[178,220],"model,":[179],"enabling":[180],"highly":[181],"accurate":[182],"calibration":[184],"without":[191],"requiring":[192],"parameter":[193],"updates.":[194],"measurement,":[197],"15-bit":[199],"transformer-based":[200],"chip":[203],"Class-G":[205],"IQ-cell-sharing":[207],"techniques":[208],"implemented":[210],"28-nm":[213],"CMOS":[214],"employed":[217],"verify":[219],"method.":[221],"For":[222],"802.11ax":[224],"40-MHz":[225],"64-QAM":[226],"2.4":[229],"GHz,":[230],"experimental":[231],"results":[232],"demonstrate":[233],"that":[234],"achieves":[238],"superior":[239],"linearization":[240],"performance":[241],"compared":[242],"state-of-the-art":[244],"(SOTA)":[245],"models,":[246],"an":[248,259],"adjacent":[250],"channel":[251],"ratio":[253],"(ACPR)":[254],"\u221239.5":[256],"dB":[257,267],"error":[261],"vector":[262],"magnitude":[263],"(EVM)":[264],"\u221241.6":[266],"over":[268],"30-dB":[270],"range.":[273]},"counts_by_year":[],"updated_date":"2025-11-27T01:12:40.094763","created_date":"2025-10-10T00:00:00"}