{"id":"https://openalex.org/W2990397189","doi":"https://doi.org/10.1109/pimrc.2019.8904273","title":"Estimating Quality of Service on Wi-Fi Stations Using Recurrent Neural Networks","display_name":"Estimating Quality of Service on Wi-Fi Stations Using Recurrent Neural Networks","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2990397189","doi":"https://doi.org/10.1109/pimrc.2019.8904273","mag":"2990397189"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc.2019.8904273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2019.8904273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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/A5016603896","display_name":"Henrique Duarte Moura","orcid":"https://orcid.org/0000-0002-6464-0694"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Henrique Moura","raw_affiliation_strings":["Universidade Federal de Minas Gerais (UFMG),Computer Science Department,Belo Horizonte,MG,Brazil","Computer Science Department, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais (UFMG),Computer Science Department,Belo Horizonte,MG,Brazil","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"Computer Science Department, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109631722","display_name":"Matheus Nunes","orcid":null},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Matheus Nunes","raw_affiliation_strings":["Universidade Federal de Minas Gerais (UFMG),Computer Science Department,Belo Horizonte,MG,Brazil","Computer Science Department, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais (UFMG),Computer Science Department,Belo Horizonte,MG,Brazil","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"Computer Science Department, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089488973","display_name":"Gilson Miranda","orcid":"https://orcid.org/0000-0002-4023-2629"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gilson Miranda","raw_affiliation_strings":["Universidade Federal de Minas Gerais (UFMG),Computer Science Department,Belo Horizonte,MG,Brazil","Computer Science Department, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais (UFMG),Computer Science Department,Belo Horizonte,MG,Brazil","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"Computer Science Department, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052456714","display_name":"Daniel F. Macedo","orcid":"https://orcid.org/0000-0001-6668-4175"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Daniel F. Macedo","raw_affiliation_strings":["Universidade Federal de Minas Gerais (UFMG),Computer Science Department,Belo Horizonte,MG,Brazil","Computer Science Department, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais (UFMG),Computer Science Department,Belo Horizonte,MG,Brazil","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"Computer Science Department, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020812248","display_name":"Luiz H. A. Correia","orcid":"https://orcid.org/0000-0002-4486-0091"},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luiz H. A. Correia","raw_affiliation_strings":["Universidade Federal de Lavras (UFLA),Computer Science Department,Lavras,MG,Brazil","Computer Science Department, Universidade Federal de Lavras (UFLA), Lavras, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Lavras (UFLA),Computer Science Department,Lavras,MG,Brazil","institution_ids":["https://openalex.org/I1315085146"]},{"raw_affiliation_string":"Computer Science Department, Universidade Federal de Lavras (UFLA), Lavras, MG, Brazil","institution_ids":["https://openalex.org/I1315085146"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016603896"],"corresponding_institution_ids":["https://openalex.org/I110200422"],"apc_list":null,"apc_paid":null,"fwci":0.3577,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62082776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994000196456909,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994000196456909,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":0.9993000030517578,"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/computer-science","display_name":"Computer science","score":0.6839901208877563},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.6057753562927246},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.581136167049408},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5030431151390076},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4504585266113281},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.375212699174881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25244706869125366},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.19701653718948364},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.052702367305755615}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6839901208877563},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.6057753562927246},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.581136167049408},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5030431151390076},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4504585266113281},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.375212699174881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25244706869125366},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.19701653718948364},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.052702367305755615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc.2019.8904273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2019.8904273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W581956982","https://openalex.org/W1769222792","https://openalex.org/W1972031763","https://openalex.org/W1978984614","https://openalex.org/W1989659920","https://openalex.org/W2028533880","https://openalex.org/W2045601969","https://openalex.org/W2068349247","https://openalex.org/W2116261113","https://openalex.org/W2118605352","https://openalex.org/W2119271160","https://openalex.org/W2124548453","https://openalex.org/W2144369278","https://openalex.org/W2157331557","https://openalex.org/W2190209096","https://openalex.org/W2335668380","https://openalex.org/W2808096139","https://openalex.org/W2897176205","https://openalex.org/W2940632780","https://openalex.org/W2962855623","https://openalex.org/W3003978964","https://openalex.org/W6616837769","https://openalex.org/W6637995443","https://openalex.org/W6761769709"],"related_works":["https://openalex.org/W2323516465","https://openalex.org/W4238615239","https://openalex.org/W2063960996","https://openalex.org/W2085045797","https://openalex.org/W2170179501","https://openalex.org/W2111375262","https://openalex.org/W1998565590","https://openalex.org/W2061423566","https://openalex.org/W2342975177","https://openalex.org/W2135735066"],"abstract_inverted_index":{"Wireless":[0,20],"networks":[1],"are":[2],"the":[3,9,54,124,134],"most":[4],"common":[5],"way":[6,62],"to":[7,26,47,63,68,82],"access":[8],"Internet,":[10],"with":[11],"more":[12],"than":[13],"10":[14,137,143,150],"billion":[15],"Wi-Fi":[16,66,89],"devices":[17],"already":[18],"sold.":[19],"connections":[21],"suffer":[22],"from":[23],"problems":[24],"related":[25],"spectrum":[27],"overuse,":[28],"such":[29,58,84],"as":[30],"transmission":[31],"errors":[32],"and":[33,46,91,100,115,149,156],"loss":[34,158],"of":[35,50,133,136],"information.":[36],"Intelligent":[37],"control":[38],"systems":[39,59],"can":[40],"be":[41],"used":[42],"for":[43,141,147,154],"network":[44,110],"management":[45],"improve":[48],"Quality":[49],"Service":[51],"(QoS).":[52],"However,":[53],"first":[55],"step":[56],"towards":[57],"is":[60,132],"a":[61,69,75],"correlate":[64],"current":[65],"readings":[67],"QoS":[70],"value.":[71],"This":[72],"work":[73],"proposes":[74],"model":[76,107],"using":[77,159],"Recurrent":[78,97],"Neural":[79],"Networks":[80],"(RNN)":[81],"infer":[83],"relation,":[85],"based":[86,117],"on":[87],"real":[88],"data,":[90],"compares":[92],"two":[93],"RNN":[94],"types:":[95],"Gated":[96],"Unit":[98],"(GRU)":[99],"Long":[101],"Short":[102],"Term":[103],"Memory":[104],"(LSTM).":[105],"The":[106,126],"predicts":[108],"four":[109],"metrics:":[111],"throughput,":[112,142],"loss,":[113],"delay,":[114,148],"jitter,":[116],"only":[118],"in":[119],"traffic":[120],"data":[121],"obtained":[122],"at":[123],"AP.":[125],"average":[127],"Root":[128],"Mean":[129],"Square":[130],"Error":[131],"order":[135],"<sup":[138,144,151],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[139,145,152],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-2</sup>":[140],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-4</sup>":[146],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-5</sup>":[153],"jitter":[155],"packet":[157],"both":[160],"methods.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}