{"id":"https://openalex.org/W3015609595","doi":"https://doi.org/10.23919/icact48636.2020.9061254","title":"Orthogonal Polynomials Based Complex Gaussian Processes of Nonlinear Power Amplifier for 5G Wireless Communication Systems","display_name":"Orthogonal Polynomials Based Complex Gaussian Processes of Nonlinear Power Amplifier for 5G Wireless Communication Systems","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3015609595","doi":"https://doi.org/10.23919/icact48636.2020.9061254","mag":"3015609595"},"language":"en","primary_location":{"id":"doi:10.23919/icact48636.2020.9061254","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact48636.2020.9061254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 22nd International Conference on Advanced Communication Technology (ICACT)","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/A5056495538","display_name":"Ditthawat Songratthaset","orcid":"https://orcid.org/0000-0002-3157-0474"},"institutions":[{"id":"https://openalex.org/I60837268","display_name":"King Mongkut's University of Technology Thonburi","ror":"https://ror.org/0057ax056","country_code":"TH","type":"education","lineage":["https://openalex.org/I60837268"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Ditthawat Songratthaset","raw_affiliation_strings":["Electronic and Telecommunication Engineering Department, King Mongkut's University of Technology Thonburi, Thailand"],"affiliations":[{"raw_affiliation_string":"Electronic and Telecommunication Engineering Department, King Mongkut's University of Technology Thonburi, Thailand","institution_ids":["https://openalex.org/I60837268"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076963979","display_name":"Suwat Pattaramalai","orcid":null},"institutions":[{"id":"https://openalex.org/I60837268","display_name":"King Mongkut's University of Technology Thonburi","ror":"https://ror.org/0057ax056","country_code":"TH","type":"education","lineage":["https://openalex.org/I60837268"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Suwat Pattaramalai","raw_affiliation_strings":["Electronic and Telecommunication Engineering Department, King Mongkut's University of Technology Thonburi, Thailand"],"affiliations":[{"raw_affiliation_string":"Electronic and Telecommunication Engineering Department, King Mongkut's University of Technology Thonburi, Thailand","institution_ids":["https://openalex.org/I60837268"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056495538"],"corresponding_institution_ids":["https://openalex.org/I60837268"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.027275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"231","last_page":"236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11873","display_name":"PAPR reduction in OFDM","score":0.9998999834060669,"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/T11873","display_name":"PAPR reduction in OFDM","score":0.9998999834060669,"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/T11248","display_name":"Advanced Power Amplifier Design","score":0.9997000098228455,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.683792233467102},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.6374436616897583},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5438012480735779},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.5012195110321045},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4841335713863373},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45565083622932434},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.43833059072494507},{"id":"https://openalex.org/keywords/polynomial-and-rational-function-modeling","display_name":"Polynomial and rational function modeling","score":0.4292052984237671},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34578239917755127},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.23220792412757874},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.2302882969379425},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.17723384499549866},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.14293122291564941},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13246402144432068},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08337301015853882}],"concepts":[{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.683792233467102},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.6374436616897583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5438012480735779},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.5012195110321045},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4841335713863373},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45565083622932434},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.43833059072494507},{"id":"https://openalex.org/C138029060","wikidata":"https://www.wikidata.org/wiki/Q7226633","display_name":"Polynomial and rational function modeling","level":3,"score":0.4292052984237671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34578239917755127},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.23220792412757874},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.2302882969379425},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.17723384499549866},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.14293122291564941},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13246402144432068},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08337301015853882},{"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:10.23919/icact48636.2020.9061254","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact48636.2020.9061254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 22nd International Conference on Advanced Communication Technology (ICACT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W595252221","https://openalex.org/W1970110805","https://openalex.org/W2008933321","https://openalex.org/W2011476574","https://openalex.org/W2096483679","https://openalex.org/W2101397645","https://openalex.org/W2111185658","https://openalex.org/W2144996271","https://openalex.org/W2168890544","https://openalex.org/W2510826366","https://openalex.org/W2540556093","https://openalex.org/W2568861252","https://openalex.org/W2610335499","https://openalex.org/W2894754316","https://openalex.org/W2917549193","https://openalex.org/W2963547070","https://openalex.org/W2966582954"],"related_works":["https://openalex.org/W2603183395","https://openalex.org/W2099812103","https://openalex.org/W2055927355","https://openalex.org/W2073378780","https://openalex.org/W2103813964","https://openalex.org/W2083214991","https://openalex.org/W2799377959","https://openalex.org/W1991218450","https://openalex.org/W2378881172","https://openalex.org/W2377808330"],"abstract_inverted_index":{"In":[0,109],"this":[1,85],"paper,":[2],"an":[3,60,69,75,102],"orthogonal":[4,70,94,142,153,165],"polynomial":[5,71,143,154,160,166],"based":[6,67,167],"complex":[7],"Gaussian":[8,129],"process":[9,81],"of":[10,25,63,91,121,139,182],"nonlinear":[11],"power":[12,42],"amplifier":[13,43],"for":[14,30,49,79],"the":[15,26,31,47,50,64,89,92,96,110,119,126,134,140,151,158,163,174],"filter":[16],"bank":[17],"multicarrier":[18],"modulation":[19],"(FBMC)":[20],"systems":[21,33],"is":[22,34,82,107,145,171],"proposed.":[23],"One":[24],"most":[27],"challenging":[28],"problems":[29],"FBMC":[32,51],"a":[35,40,57,112],"non-linear":[36],"distortion":[37],"caused":[38],"by":[39,73],"high":[41],"(HPA).":[44],"Due":[45],"to":[46,173],"signals":[48],"communication":[52],"scenario":[53],"are":[54],"modeled":[55],"as":[56,101],"complex-Gaussian":[58,80,168],"distribution,":[59],"analytical":[61],"expression":[62],"HPA":[65],"characteristic":[66],"on":[68],"method":[72,144,155],"using":[74],"upper":[76],"triangle":[77],"solution":[78],"derived":[83],"in":[84,125,180],"paper.":[86],"To":[87],"ensure":[88],"robustness":[90],"proposed":[93,141,152,164],"polynomials,":[95],"different":[97],"input":[98,169,178],"distribution":[99,106,170,179],"such":[100],"exponential":[103],"and":[104,118,133,176,185],"Rayleigh":[105,136,177],"investigated.":[108],"simulation,":[111],"normalized":[113],"mean":[114],"squared":[115],"error":[116,122],"(NMSE)":[117],"probability":[120],"performances":[123],"(BER)":[124],"additive":[127],"white":[128],"noise":[130],"(AWGN)":[131],"channel":[132,138],"frequency-selective":[135],"fading":[137],"determined.":[146],"Simulation":[147],"results":[148],"show":[149],"that":[150],"significantly":[156],"outperforms":[157],"conventional":[159],"method.":[161],"Furthermore,":[162],"superior":[172],"exponential,":[175],"terms":[181],"both":[183],"NMSE":[184],"BER":[186],"performance.":[187]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
