{"id":"https://openalex.org/W7130585563","doi":"https://doi.org/10.1109/ictc66702.2025.11388795","title":"A Modular Domain-Aware Neural Network Architecture for Power Amplifier Linearization","display_name":"A Modular Domain-Aware Neural Network Architecture for Power Amplifier Linearization","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W7130585563","doi":"https://doi.org/10.1109/ictc66702.2025.11388795"},"language":null,"primary_location":{"id":"doi:10.1109/ictc66702.2025.11388795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc66702.2025.11388795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information and Communication Technology Convergence (ICTC)","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/A5126393395","display_name":"Lotta Rantala","orcid":null},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Lotta Rantala","raw_affiliation_strings":["Nokia Solutions and Networks,Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Solutions and Networks,Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002307490","display_name":"Arne Fischer-B\u00fchner","orcid":"https://orcid.org/0000-0001-9764-3640"},"institutions":[{"id":"https://openalex.org/I4210160875","display_name":"Nokia (Belgium)","ror":"https://ror.org/04xze1462","country_code":"BE","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210160875"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Arne Fischer-B\u00fchner","raw_affiliation_strings":["Nokia Bell Labs,Antwerp,Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs,Antwerp,Belgium","institution_ids":["https://openalex.org/I4210160875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070912972","display_name":"Alberto Brihuega","orcid":"https://orcid.org/0000-0002-1733-6198"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Alberto Brihuega","raw_affiliation_strings":["Nokia Solutions and Networks,Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Solutions and Networks,Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029543615","display_name":"Sasan Sharifipour","orcid":"https://orcid.org/0000-0001-6670-4252"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Sasan Sharifipour","raw_affiliation_strings":["University of Oulu,Center for Machine Vision and Signal Analysis (CMVS),Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oulu,Center for Machine Vision and Signal Analysis (CMVS),Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071609363","display_name":"Praneeth Susarla","orcid":"https://orcid.org/0000-0001-6707-7684"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Praneeth Susarla","raw_affiliation_strings":["University of Oulu,Center for Machine Vision and Signal Analysis (CMVS),Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oulu,Center for Machine Vision and Signal Analysis (CMVS),Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126423680","display_name":"Miguel Bordallo L\u00f3pez","orcid":null},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Miguel Bordallo L\u00f3pez","raw_affiliation_strings":["University of Oulu,Center for Machine Vision and Signal Analysis (CMVS),Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oulu,Center for Machine Vision and Signal Analysis (CMVS),Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051136793","display_name":"Constantino \u00c1lvarez Casado","orcid":"https://orcid.org/0000-0002-3052-4759"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Constantino \u00c1lvarez Casado","raw_affiliation_strings":["University of Oulu,Center for Machine Vision and Signal Analysis (CMVS),Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oulu,Center for Machine Vision and Signal Analysis (CMVS),Finland","institution_ids":["https://openalex.org/I98381234"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"801","last_page":"806"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11248","display_name":"Advanced Power Amplifier Design","score":0.9944999814033508,"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":0.9944999814033508,"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":0.0015999999595806003,"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":0.001500000013038516,"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/modular-design","display_name":"Modular design","score":0.5274999737739563},{"id":"https://openalex.org/keywords/amplifier","display_name":"Amplifier","score":0.5113999843597412},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5019999742507935},{"id":"https://openalex.org/keywords/linearization","display_name":"Linearization","score":0.4578999876976013},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.4350000023841858},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.41909998655319214},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.39340001344680786},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.392300009727478},{"id":"https://openalex.org/keywords/predistortion","display_name":"Predistortion","score":0.3871000111103058},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.33880001306533813}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5960999727249146},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.5846999883651733},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5274999737739563},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.5113999843597412},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5019999742507935},{"id":"https://openalex.org/C11210021","wikidata":"https://www.wikidata.org/wiki/Q1520713","display_name":"Linearization","level":3,"score":0.4578999876976013},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.4350000023841858},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.41909998655319214},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.41350001096725464},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.39340001344680786},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.392300009727478},{"id":"https://openalex.org/C2778587875","wikidata":"https://www.wikidata.org/wiki/Q7239686","display_name":"Predistortion","level":4,"score":0.3871000111103058},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.33880001306533813},{"id":"https://openalex.org/C19247436","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"Physical layer","level":3,"score":0.33469998836517334},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.334199994802475},{"id":"https://openalex.org/C2778775284","wikidata":"https://www.wikidata.org/wiki/Q5198224","display_name":"Cyclic prefix","level":4,"score":0.3165000081062317},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3156999945640564},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.31439998745918274},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30320000648498535},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.29750001430511475},{"id":"https://openalex.org/C77170095","wikidata":"https://www.wikidata.org/wiki/Q1753188","display_name":"Linearity","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C65165936","wikidata":"https://www.wikidata.org/wiki/Q575784","display_name":"Baseband","level":3,"score":0.2856999933719635},{"id":"https://openalex.org/C2781121602","wikidata":"https://www.wikidata.org/wiki/Q3504403","display_name":"Modular neural network","level":4,"score":0.2849999964237213},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.2822999954223633},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.2799000144004822},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C192615534","wikidata":"https://www.wikidata.org/wiki/Q7247268","display_name":"Process corners","level":3,"score":0.2734000086784363},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C2775946640","wikidata":"https://www.wikidata.org/wiki/Q1735017","display_name":"Cascode","level":4,"score":0.2667999863624573},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.2662000060081482},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C196054291","wikidata":"https://www.wikidata.org/wiki/Q7276624","display_name":"RF power amplifier","level":4,"score":0.2619999945163727},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.2526000142097473},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc66702.2025.11388795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc66702.2025.11388795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320328501","display_name":"Business Finland","ror":"https://ror.org/05bgf9v38"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1865367620","https://openalex.org/W1966506279","https://openalex.org/W1984632264","https://openalex.org/W2002361539","https://openalex.org/W2136141574","https://openalex.org/W2161181093","https://openalex.org/W2166608639","https://openalex.org/W2247967722","https://openalex.org/W2320527448","https://openalex.org/W2485839733","https://openalex.org/W2499837026","https://openalex.org/W2808644149","https://openalex.org/W2958228360","https://openalex.org/W3212406527","https://openalex.org/W4285330082","https://openalex.org/W4312747437","https://openalex.org/W4383750321","https://openalex.org/W4388581227","https://openalex.org/W4403867700","https://openalex.org/W4404799296","https://openalex.org/W4408146069"],"related_works":[],"abstract_inverted_index":{"Next-generation":[0],"wireless":[1],"systems":[2],"demand":[3],"highly":[4],"efficient":[5],"power":[6],"amplifiers":[7],"(PAs),":[8],"which":[9],"introduce":[10],"complex":[11,105],"non-linearities":[12],"and":[13,71,83,114,135,182],"memory":[14,98],"effects.":[15],"Traditional":[16],"digital":[17],"pre-distortion":[18],"(DPD)":[19],"methods,":[20],"such":[21],"as":[22],"the":[23,64,68,177,188],"Generalized":[24],"Memory":[25],"Polynomial":[26],"(GMP),":[27],"struggle":[28],"with":[29],"these":[30,74],"impairments.":[31],"This":[32],"paper":[33],"proposes":[34],"a":[35,42,53,77,91,100,115,143],"Modular":[36],"Domain-Aware":[37],"Time-Delay":[38],"Neural":[39],"Network":[40],"(MDA-TDNN),":[41],"hybrid":[43],"physically-inspired":[44],"architecture":[45],"that":[46,152],"combines":[47],"established":[48],"signal":[49,106],"processing":[50],"components":[51],"into":[52],"unified":[54],"TDNN-based":[55],"structure.":[56],"Rather":[57],"than":[58],"introducing":[59],"fundamentally":[60],"new":[61],"building":[62],"blocks,":[63],"contribution":[65],"lies":[66],"in":[67,159],"systematic":[69],"integration":[70],"evaluation":[72],"of":[73,80,170,179,190],"components,":[75],"providing":[76],"structured":[78],"characterization":[79],"their":[81],"individual":[82],"joint":[84],"effects":[85],"on":[86,124,138],"DPD":[87],"performance.":[88],"It":[89],"includes":[90],"Finite":[92],"Impulse":[93],"Response":[94],"(FIR)":[95],"layer":[96,103,110],"for":[97,104,111,118,194],"modeling,":[99],"phase":[101,180],"normalization":[102,181],"behavior,":[107],"an":[108,125,130,139],"envelope":[109],"amplitude":[112],"non-linearities,":[113],"residual":[116],"path":[117],"stable":[119],"training.":[120],"MDA-TDNN":[121,153],"was":[122],"trained":[123],"ideal":[126,171],"dataset":[127],"generated":[128],"by":[129,156],"Iterative":[131],"Learning":[132],"Control":[133],"scheme":[134],"experimentally":[136],"validated":[137],"RF":[140],"testbed":[141],"using":[142],"75":[144],"MHz":[145],"5G":[146],"NR":[147],"signal.":[148],"The":[149],"results":[150],"demonstrate":[151],"outperforms":[154],"GMP":[155],"7.95":[157],"dB":[158,169],"Adjacent":[160],"Channel":[161],"Leakage":[162],"Ratio":[163],"(ACLR),":[164],"achieving":[165],"performance":[166],"within":[167],"1":[168],"DPD.":[172],"An":[173],"ablation":[174],"study":[175],"highlights":[176],"importance":[178],"FIR":[183],"layers.":[184],"These":[185],"findings":[186],"validate":[187],"effectiveness":[189],"domain-aware":[191],"neural":[192],"architectures":[193],"PA":[195],"linearization.":[196]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-02-20T00:00:00"}
