{"id":"https://openalex.org/W2953766582","doi":"https://doi.org/10.1109/vtcspring.2019.8746319","title":"Belief Propagation Receivers for Near-Optimal Detection of Nonlinearly Distorted OFDM Signals","display_name":"Belief Propagation Receivers for Near-Optimal Detection of Nonlinearly Distorted OFDM Signals","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2953766582","doi":"https://doi.org/10.1109/vtcspring.2019.8746319","mag":"2953766582"},"language":"en","primary_location":{"id":"doi:10.1109/vtcspring.2019.8746319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2019.8746319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)","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/A5019621058","display_name":"Sergey Zhidkov","orcid":"https://orcid.org/0000-0002-8365-5007"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sergey V. Zhidkov","raw_affiliation_strings":["Cifrasoft Ltd., Izhevsk, Russia"],"affiliations":[{"raw_affiliation_string":"Cifrasoft Ltd., Izhevsk, Russia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034724801","display_name":"Rui Dinis","orcid":"https://orcid.org/0000-0002-8520-7267"},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]},{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Rui Dinis","raw_affiliation_strings":["Instituto de Telecomunica\u00e7\u00f5es and Departamento de Engenharia Electrotecnica, Universidade Nova de Lisboa, Almada, Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es and Departamento de Engenharia Electrotecnica, Universidade Nova de Lisboa, Almada, Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I83558840"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019621058"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1923,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.79383965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11873","display_name":"PAPR reduction in OFDM","score":1.0,"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":1.0,"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":0.9998000264167786,"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/T12146","display_name":"Power Line Communications and Noise","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"}}],"keywords":[{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.9089871644973755},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.8476715683937073},{"id":"https://openalex.org/keywords/nonlinear-distortion","display_name":"Nonlinear distortion","score":0.8099322319030762},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.7145445942878723},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.7114700675010681},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6592233180999756},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6308484077453613},{"id":"https://openalex.org/keywords/multiplexing","display_name":"Multiplexing","score":0.5309120416641235},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43876031041145325},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.43276137113571167},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4206539988517761},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4186720848083496},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3142646551132202},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.2993643581867218},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.15196475386619568},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14174890518188477},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.12731784582138062},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.10456728935241699},{"id":"https://openalex.org/keywords/amplifier","display_name":"Amplifier","score":0.09452521800994873},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08352476358413696}],"concepts":[{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.9089871644973755},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.8476715683937073},{"id":"https://openalex.org/C173413354","wikidata":"https://www.wikidata.org/wiki/Q7049470","display_name":"Nonlinear distortion","level":4,"score":0.8099322319030762},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.7145445942878723},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.7114700675010681},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6592233180999756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6308484077453613},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.5309120416641235},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43876031041145325},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.43276137113571167},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4206539988517761},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4186720848083496},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3142646551132202},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.2993643581867218},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.15196475386619568},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14174890518188477},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.12731784582138062},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.10456728935241699},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.09452521800994873},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08352476358413696},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/vtcspring.2019.8746319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2019.8746319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320328988","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33"},{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1539800233","https://openalex.org/W1659484121","https://openalex.org/W1970110805","https://openalex.org/W2031653048","https://openalex.org/W2042214336","https://openalex.org/W2101397645","https://openalex.org/W2105230452","https://openalex.org/W2118009818","https://openalex.org/W2149587304","https://openalex.org/W2149587581","https://openalex.org/W2160356798","https://openalex.org/W2163377067","https://openalex.org/W2163982637","https://openalex.org/W2166670884","https://openalex.org/W2494205711","https://openalex.org/W2530325458","https://openalex.org/W2593012807","https://openalex.org/W2609569333","https://openalex.org/W2786620447","https://openalex.org/W3102179192","https://openalex.org/W6637139999","https://openalex.org/W6734141295"],"related_works":["https://openalex.org/W2370399950","https://openalex.org/W2260494111","https://openalex.org/W2007026331","https://openalex.org/W2031556334","https://openalex.org/W2021221053","https://openalex.org/W2953766582","https://openalex.org/W1911817635","https://openalex.org/W2810224748","https://openalex.org/W2353656796","https://openalex.org/W2011915004"],"abstract_inverted_index":{"It":[0],"is":[1],"generally":[2],"assumed":[3],"that":[4,22,45,85],"nonlinear":[5,24,79,100,104],"distortion":[6,25],"effects":[7],"in":[8,95,118,131],"multicarrier":[9],"systems":[10],"can":[11,34,110],"lead":[12],"to":[13,37,48],"substantial":[14],"performance":[15,94],"degradation.":[16],"However,":[17],"it":[18],"was":[19],"recently":[20],"shown":[21],"the":[23,30,39,65,86,96],"component":[26],"contains":[27],"information":[28],"on":[29,64],"transmitted":[31],"signal":[32],"and":[33,126],"be":[35],"used":[36],"improve":[38],"performance.":[40],"Nonetheless,":[41],"all":[42],"known":[43],"receivers":[44,62,88,109],"are":[46,54,89],"able":[47],"take":[49],"advantage":[50],"of":[51,98,129],"this":[52,58],"fact":[53],"extremely":[55],"complex.":[56],"In":[57,102],"paper,":[59],"we":[60],"present":[61],"based":[63],"generalized":[66],"approximate":[67],"message":[68],"passing":[69],"concept":[70],"for":[71],"orthogonal":[72],"transform":[73],"multiplexing":[74],"(OFDM)":[75],"signals":[76],"with":[77],"strong":[78,99],"effects.":[80],"Our":[81],"simulation":[82],"results":[83],"show":[84],"proposed":[87],"very":[90],"powerful,":[91],"allowing":[92],"excellent":[93],"presence":[97],"distortions.":[101],"fact,":[103],"OFDM":[105,113],"schemes":[106,114],"using":[107],"those":[108],"outperform":[111],"linear":[112],"by":[115,127],"several":[116],"dBs":[117,130],"ideal":[119],"additive":[120],"white":[121],"Gaussian":[122],"noise":[123],"(AWGN)":[124],"channels,":[125],"tens":[128],"frequency-selective":[132],"fading":[133],"channels.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
