{"id":"https://openalex.org/W2974475159","doi":"https://doi.org/10.1109/icton.2019.8840567","title":"Neural Networks for PAPR Reduction in Optical OFDM Signal Transmission","display_name":"Neural Networks for PAPR Reduction in Optical OFDM Signal Transmission","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2974475159","doi":"https://doi.org/10.1109/icton.2019.8840567","mag":"2974475159"},"language":"en","primary_location":{"id":"doi:10.1109/icton.2019.8840567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icton.2019.8840567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 21st International Conference on Transparent Optical Networks (ICTON)","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/A5100453340","display_name":"Wenlong Zhang","orcid":"https://orcid.org/0009-0006-8197-9370"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenlong Zhang","raw_affiliation_strings":["Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049270513","display_name":"Adnan A. E. Hajomer","orcid":"https://orcid.org/0000-0003-4572-4857"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Adnan Hajomer","raw_affiliation_strings":["Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006429307","display_name":"Xuelin Yang","orcid":"https://orcid.org/0000-0003-0197-7959"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelin Yang","raw_affiliation_strings":["Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015039354","display_name":"Weisheng Hu","orcid":"https://orcid.org/0000-0002-6168-2688"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weisheng Hu","raw_affiliation_strings":["Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100453340"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.1192,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46667648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10232","display_name":"Optical Network Technologies","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/T10232","display_name":"Optical Network Technologies","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/T11873","display_name":"PAPR reduction in OFDM","score":0.9993000030517578,"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/T10767","display_name":"Advanced Photonic Communication Systems","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"}}],"keywords":[{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.853778600692749},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6711949110031128},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.6199818849563599},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.6131082773208618},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5989375114440918},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5826972126960754},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.5778287649154663},{"id":"https://openalex.org/keywords/qam","display_name":"QAM","score":0.557245135307312},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5280706882476807},{"id":"https://openalex.org/keywords/quadrature-amplitude-modulation","display_name":"Quadrature amplitude modulation","score":0.4822300374507904},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3801686465740204},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3225110173225403},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3069489002227783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1797843873500824},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.154129296541214},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14859461784362793}],"concepts":[{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.853778600692749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6711949110031128},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.6199818849563599},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.6131082773208618},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5989375114440918},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5826972126960754},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.5778287649154663},{"id":"https://openalex.org/C59030546","wikidata":"https://www.wikidata.org/wiki/Q7265371","display_name":"QAM","level":5,"score":0.557245135307312},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5280706882476807},{"id":"https://openalex.org/C32409245","wikidata":"https://www.wikidata.org/wiki/Q749753","display_name":"Quadrature amplitude modulation","level":4,"score":0.4822300374507904},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3801686465740204},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3225110173225403},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3069489002227783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1797843873500824},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.154129296541214},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14859461784362793},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icton.2019.8840567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icton.2019.8840567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 21st International Conference on Transparent Optical Networks (ICTON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7400000095367432,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1969487735","https://openalex.org/W2018789963","https://openalex.org/W2114004090","https://openalex.org/W2123068486","https://openalex.org/W2311297018","https://openalex.org/W2734408173","https://openalex.org/W2760791709","https://openalex.org/W2779699222","https://openalex.org/W2794284562","https://openalex.org/W2797033345","https://openalex.org/W2797571648","https://openalex.org/W2963042536","https://openalex.org/W2963190722","https://openalex.org/W3004446201","https://openalex.org/W3099641658"],"related_works":["https://openalex.org/W4390873927","https://openalex.org/W2159438609","https://openalex.org/W2900995485","https://openalex.org/W2147334234","https://openalex.org/W3196902411","https://openalex.org/W2139936226","https://openalex.org/W1970526599","https://openalex.org/W3026565890","https://openalex.org/W2064534496","https://openalex.org/W1526007253"],"abstract_inverted_index":{"In":[0,21],"recent":[1],"years,":[2],"with":[3,117],"the":[4,9,33,59,70,78,82,88,97,115,126,148],"improvement":[5],"of":[6,11,36,46,77,87,102],"computing":[7],"performance,":[8],"application":[10],"neural":[12,28],"networks":[13,29],"in":[14,50],"communication":[15],"field":[16],"has":[17],"been":[18],"widely":[19],"studied.":[20],"this":[22],"paper,":[23],"we":[24],"propose":[25],"and":[26,52,57,81,112,118,128,145,151],"apply":[27],"(NNs)":[30],"to":[31,55,68,72],"improve":[32],"transmission":[34,101],"performance":[35],"optical":[37,106],"orthogonal":[38],"frequency":[39],"division":[40],"multiplexed":[41],"(O-OFDM)":[42],"signals.":[43,90],"A":[44],"pair":[45],"NNs":[47,66,157],"is":[48,67,94,109,143],"added":[49],"transmitter":[51],"receiver":[53],"respectively,":[54],"modify":[56],"restore":[58],"QAM":[60],"constellation.":[61],"The":[62,91,121],"main":[63],"target":[64],"for":[65,114,136],"reduce":[69],"peak":[71],"average":[73],"power":[74],"ratio":[75],"(PAPR)":[76],"O-OFDM":[79],"signals":[80,108],"bit":[83],"error":[84],"rate":[85],"(BER)":[86],"received":[89],"proposed":[92],"scheme":[93],"verified":[95],"by":[96,156],"simulations.":[98],"And":[99],"a":[100],"18.8":[103],"Gb/s,":[104],"16-QAM":[105],"OFDM":[107],"successfully":[110],"demonstrated":[111],"analyzed":[113],"cases":[116],"without":[119],"NNs.":[120],"experimental":[122],"results":[123],"show":[124],"that,":[125],"PAPR":[127,142],"BER":[129],"can":[130],"be":[131],"improved":[132],"significantly":[133],"(~4":[134],"dB":[135],"BER)":[137],"after":[138],"using":[139],"NNs,":[140],"since":[141],"reduced":[144],"more":[146],"importantly":[147],"channel":[149],"distortion":[150],"noises":[152],"are":[153],"effectively":[154],"compensated":[155],"via":[158],"learning":[159],"procedure.":[160]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}