{"id":"https://openalex.org/W4409248358","doi":"https://doi.org/10.1109/icct62411.2024.10946304","title":"Low Complexity Convolutional Neural Network Digital Predistortion for Radio Frequency Power Amplifiers","display_name":"Low Complexity Convolutional Neural Network Digital Predistortion for Radio Frequency Power Amplifiers","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4409248358","doi":"https://doi.org/10.1109/icct62411.2024.10946304"},"language":"en","primary_location":{"id":"doi:10.1109/icct62411.2024.10946304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct62411.2024.10946304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 24th International Conference on Communication Technology (ICCT)","raw_type":"proceedings-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/A5106452046","display_name":"Qian Xie","orcid":"https://orcid.org/0009-0006-3720-8958"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Xie","raw_affiliation_strings":["Xidian University,State Key Laboratory of Integrated Services Networks,Xi'an,China,710061"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of Integrated Services Networks,Xi'an,China,710061","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424451","display_name":"Yong Wang","orcid":"https://orcid.org/0000-0002-5192-4233"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Wang","raw_affiliation_strings":["Xidian University,State Key Laboratory of Integrated Services Networks,Xi'an,China,710061"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of Integrated Services Networks,Xi'an,China,710061","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027030834","display_name":"Jianyang Ding","orcid":"https://orcid.org/0000-0001-8582-150X"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyang Ding","raw_affiliation_strings":["Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China,214000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China,214000","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101699085","display_name":"Zihan Guo","orcid":"https://orcid.org/0009-0005-3375-1075"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihan Guo","raw_affiliation_strings":["Xidian University,State Key Laboratory of Integrated Services Networks,Xi'an,China,710061"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of Integrated Services Networks,Xi'an,China,710061","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109771736","display_name":"Jiajun Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Niu","raw_affiliation_strings":["Xidian University,State Key Laboratory of Integrated Services Networks,Xi'an,China,710061"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of Integrated Services Networks,Xi'an,China,710061","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3712,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62955871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1639","last_page":"1643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11248","display_name":"Advanced Power Amplifier Design","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9922000169754028,"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":0.9760000109672546,"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":0.977618932723999},{"id":"https://openalex.org/keywords/amplifier","display_name":"Amplifier","score":0.746301531791687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.700289249420166},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.49285197257995605},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.48720473051071167},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.4773266911506653},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4717484414577484},{"id":"https://openalex.org/keywords/digital-radio","display_name":"Digital radio","score":0.43681231141090393},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.33360499143600464},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.18311938643455505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1619248390197754},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14935550093650818},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07590034604072571}],"concepts":[{"id":"https://openalex.org/C2778587875","wikidata":"https://www.wikidata.org/wiki/Q7239686","display_name":"Predistortion","level":4,"score":0.977618932723999},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.746301531791687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.700289249420166},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.49285197257995605},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.48720473051071167},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.4773266911506653},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4717484414577484},{"id":"https://openalex.org/C507880516","wikidata":"https://www.wikidata.org/wiki/Q1257510","display_name":"Digital radio","level":2,"score":0.43681231141090393},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.33360499143600464},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.18311938643455505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1619248390197754},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14935550093650818},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07590034604072571},{"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/icct62411.2024.10946304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct62411.2024.10946304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 24th International Conference on Communication Technology (ICCT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8600000143051147,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1968347878","https://openalex.org/W1992097224","https://openalex.org/W2605089441","https://openalex.org/W2605344455","https://openalex.org/W2808644149","https://openalex.org/W2976971257","https://openalex.org/W2998644495","https://openalex.org/W3000536290","https://openalex.org/W3036327743","https://openalex.org/W3128855577","https://openalex.org/W4360996838","https://openalex.org/W4364302134"],"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":{"The":[0,65,119],"predistortion":[1,27,31,141],"models":[2,33],"for":[3],"radio":[4],"frequency":[5],"(RF)":[6],"power":[7],"amplifiers":[8],"(PAs),":[9],"such":[10],"as":[11,81],"convolutional":[12,61,86,94],"neural":[13,18,35,62],"networks":[14,19],"(CNNs)":[15],"and":[16,45,84,99,108,115],"deep":[17],"(DNNs),":[20],"has":[21],"shown":[22],"a":[23,54,58,124],"significant":[24],"improvement":[25],"in":[26],"performance.":[28,142],"However,":[29],"digital":[30],"(DPD)":[32],"with":[34],"network":[36,63],"structures":[37],"encounter":[38],"challenges":[39],"related":[40],"to":[41,88,104],"high":[42],"computational":[43,136],"complexity":[44,60,137],"prolonged":[46],"training":[47,107,113],"duration.":[48],"In":[49],"this":[50],"study,":[51],"we":[52],"propose":[53],"DPD":[55],"model":[56,67,106,133],"utilizing":[57],"low":[59],"(LCCNN).":[64],"proposed":[66,132],"simplifies":[68],"the":[69,131],"traditional":[70],"CNN":[71],"structure,":[72],"employing":[73],"an":[74],"augmented":[75],"real-valued":[76],"cross-memorized":[77],"terms":[78],"(ARCT)":[79],"matrix":[80],"input":[82],"layer,":[83],"configuring":[85],"layer":[87],"extract":[89],"nonlinear":[90],"features":[91],"through":[92],"macro":[93],"kernels.":[95],"Furthermore,":[96],"migration":[97],"learning":[98],"pruning":[100],"operations":[101,117],"are":[102],"implemented":[103],"expedite":[105],"parameter":[109],"reduction,":[110],"thereby":[111],"decreasing":[112],"duration":[114],"floating-point":[116],"(FLOPs).":[118],"experiment":[120],"results":[121],"based":[122],"on":[123],"160":[125],"MHz":[126],"Doherty":[127],"PA":[128],"indicate":[129],"that":[130],"effectively":[134],"reduces":[135],"while":[138],"maintaining":[139],"required":[140]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
