{"id":"https://openalex.org/W4206112503","doi":"https://doi.org/10.1109/uemcon53757.2021.9666498","title":"Atmospheric Turbulence Identification in a multi-user FSOC using Supervised Machine Learning","display_name":"Atmospheric Turbulence Identification in a multi-user FSOC using Supervised Machine Learning","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4206112503","doi":"https://doi.org/10.1109/uemcon53757.2021.9666498"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon53757.2021.9666498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon53757.2021.9666498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 12th Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)","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/A5077386015","display_name":"Federica Aveta","orcid":"https://orcid.org/0000-0002-6724-9906"},"institutions":[{"id":"https://openalex.org/I198034347","display_name":"Wentworth Institute of Technology","ror":"https://ror.org/03tqeft14","country_code":"US","type":"education","lineage":["https://openalex.org/I198034347"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Federica Aveta","raw_affiliation_strings":["School of Electrical and Computer Engineering, Wentworth Institute of Technology, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Wentworth Institute of Technology, Boston, MA, USA","institution_ids":["https://openalex.org/I198034347"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102803125","display_name":"Samuel W. K. Chan","orcid":"https://orcid.org/0000-0002-2023-0781"},"institutions":[{"id":"https://openalex.org/I87208437","display_name":"University of Tulsa","ror":"https://ror.org/04wn28048","country_code":"US","type":"education","lineage":["https://openalex.org/I87208437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel Chan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Oklahoma University, Tulsa, OK, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Oklahoma University, Tulsa, OK, USA","institution_ids":["https://openalex.org/I87208437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043743512","display_name":"Nabil Asfari","orcid":null},"institutions":[{"id":"https://openalex.org/I87208437","display_name":"University of Tulsa","ror":"https://ror.org/04wn28048","country_code":"US","type":"education","lineage":["https://openalex.org/I87208437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nabil Asfari","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Oklahoma University, Tulsa, OK, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Oklahoma University, Tulsa, OK, USA","institution_ids":["https://openalex.org/I87208437"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079246454","display_name":"Hazem H. Refai","orcid":"https://orcid.org/0000-0001-9137-9594"},"institutions":[{"id":"https://openalex.org/I87208437","display_name":"University of Tulsa","ror":"https://ror.org/04wn28048","country_code":"US","type":"education","lineage":["https://openalex.org/I87208437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hazem Refai","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Oklahoma University, Tulsa, OK, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Oklahoma University, Tulsa, OK, USA","institution_ids":["https://openalex.org/I87208437"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17167493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9224","issue":null,"first_page":"0964","last_page":"0969"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10851","display_name":"Optical Wireless Communication Technologies","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/T10851","display_name":"Optical Wireless Communication Technologies","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/T10232","display_name":"Optical Network Technologies","score":0.9976000189781189,"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":0.9902999997138977,"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/computer-science","display_name":"Computer science","score":0.6500710248947144},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6109030842781067},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4766479432582855},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.46993288397789},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4549131691455841},{"id":"https://openalex.org/keywords/atmospheric-turbulence","display_name":"Atmospheric turbulence","score":0.45422840118408203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44412821531295776},{"id":"https://openalex.org/keywords/free-space-optical-communication","display_name":"Free-space optical communication","score":0.42299243807792664},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3621094226837158},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33623528480529785},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.31164759397506714},{"id":"https://openalex.org/keywords/optical-communication","display_name":"Optical communication","score":0.30957624316215515},{"id":"https://openalex.org/keywords/turbulence","display_name":"Turbulence","score":0.2936309278011322},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.179949551820755},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13965928554534912},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10062053799629211}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6500710248947144},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6109030842781067},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4766479432582855},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.46993288397789},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4549131691455841},{"id":"https://openalex.org/C3019432306","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Atmospheric turbulence","level":3,"score":0.45422840118408203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44412821531295776},{"id":"https://openalex.org/C197000039","wikidata":"https://www.wikidata.org/wiki/Q2027432","display_name":"Free-space optical communication","level":3,"score":0.42299243807792664},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3621094226837158},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33623528480529785},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.31164759397506714},{"id":"https://openalex.org/C129404179","wikidata":"https://www.wikidata.org/wiki/Q1469765","display_name":"Optical communication","level":2,"score":0.30957624316215515},{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.2936309278011322},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.179949551820755},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13965928554534912},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10062053799629211},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/uemcon53757.2021.9666498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon53757.2021.9666498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 12th Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W387672264","https://openalex.org/W1535757228","https://openalex.org/W1982892759","https://openalex.org/W2076063813","https://openalex.org/W2084549436","https://openalex.org/W2093339106","https://openalex.org/W2100805904","https://openalex.org/W2124531909","https://openalex.org/W2148461049","https://openalex.org/W2511038469","https://openalex.org/W2595995231","https://openalex.org/W2598379772","https://openalex.org/W2899048587","https://openalex.org/W2901019836","https://openalex.org/W2925256740","https://openalex.org/W2975526238","https://openalex.org/W2980560047","https://openalex.org/W6671580179","https://openalex.org/W6681813608"],"related_works":["https://openalex.org/W2902141316","https://openalex.org/W2001881550","https://openalex.org/W4307466823","https://openalex.org/W2314817851","https://openalex.org/W4323644463","https://openalex.org/W174954854","https://openalex.org/W2374479570","https://openalex.org/W2467010825","https://openalex.org/W2349704034","https://openalex.org/W4393309853"],"abstract_inverted_index":{"Atmospheric":[0],"turbulence":[1,36],"can":[2],"heavily":[3],"affect":[4],"free":[5],"space":[6],"optical":[7,74],"communication":[8,25],"(FSOC)":[9],"link":[10],"reliability.":[11],"This":[12,77],"introduces":[13],"random":[14],"fluctuations":[15],"of":[16,43,60,137,157],"the":[17,41,58,138],"received":[18,139],"signal":[19],"intensity,":[20],"resulting":[21],"in":[22],"degraded":[23],"system":[24],"performance.":[26],"While":[27],"extensive":[28],"research":[29],"has":[30,49],"been":[31],"conducted":[32],"to":[33,85],"estimate":[34],"atmospheric":[35],"on":[37,46],"single":[38,73,97],"user":[39],"FSOC,":[40],"effects":[42],"turbulent":[44,110],"channel":[45],"multi-point":[47],"FSOC":[48,62],"recently":[50],"gained":[51],"attention.":[52],"In":[53],"fact,":[54],"latest":[55],"results":[56],"showed":[57],"feasibility":[59],"multi-user":[61],"when":[63],"users,":[64],"sharing":[65],"time":[66],"and":[67,93,103,126],"bandwidth":[68],"resources,":[69],"communicate":[70],"with":[71],"a":[72,80,96,109],"access":[75],"node.":[76],"paper":[78],"presents":[79,115],"machine":[81],"learning":[82],"(ML)-based":[83],"methodology":[84,114],"identify":[86],"how":[87],"many":[88],"users":[89],"are":[90],"concurrently":[91],"transmitting":[92],"overlapping":[94],"into":[95],"receiver":[98],"interfering":[99],"within":[100],"each":[101],"other,":[102],"which":[104],"one":[105],"is":[106],"propagating":[107],"through":[108],"channel.":[111],"The":[112],"proposed":[113],"two":[116],"different":[117],"approaches":[118],"based":[119],"on:":[120],"1)":[121],"traditional":[122],"classification":[123],"ML":[124],"algorithms":[125],"2)":[127],"Convolutional":[128],"Neural":[129],"Network":[130],"(CNN).":[131],"Both":[132],"methods":[133],"employ":[134],"amplitude":[135],"distribution":[136],"mixed":[140],"signals":[141],"as":[142],"input":[143],"features.":[144],"100%":[145],"validation":[146],"accuracy":[147],"was":[148],"achieved":[149],"by":[150],"CNN":[151],"employing":[152],"an":[153],"experimental":[154],"data":[155],"set":[156],"900":[158],"images.":[159]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
