{"id":"https://openalex.org/W3184038838","doi":"https://doi.org/10.1109/eucnc/6gsummit51104.2021.9482498","title":"Forecasting Wireless Network Traffic and Channel Utilization Using Real Network/Physical layer Data","display_name":"Forecasting Wireless Network Traffic and Channel Utilization Using Real Network/Physical layer Data","publication_year":2021,"publication_date":"2021-06-08","ids":{"openalex":"https://openalex.org/W3184038838","doi":"https://doi.org/10.1109/eucnc/6gsummit51104.2021.9482498","mag":"3184038838"},"language":"en","primary_location":{"id":"doi:10.1109/eucnc/6gsummit51104.2021.9482498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eucnc/6gsummit51104.2021.9482498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Joint European Conference on Networks and Communications &amp; 6G Summit (EuCNC/6G Summit)","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/A5011741664","display_name":"Su Pyae Sone","orcid":"https://orcid.org/0000-0001-5373-9421"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Su Pyae Sone","raw_affiliation_strings":["Centre for Wireless Communications (CWC), University of Oulu,Finland","Centre for Wireless Communications (CWC), University of Oulu, Finland"],"affiliations":[{"raw_affiliation_string":"Centre for Wireless Communications (CWC), University of Oulu,Finland","institution_ids":["https://openalex.org/I98381234"]},{"raw_affiliation_string":"Centre for Wireless Communications (CWC), University of Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055603484","display_name":"Janne Lehtom\u00e4ki","orcid":"https://orcid.org/0000-0002-5081-1843"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Janne Lehtom\u00e4ki","raw_affiliation_strings":["Centre for Wireless Communications (CWC), University of Oulu,Finland","Centre for Wireless Communications (CWC), University of Oulu, Finland"],"affiliations":[{"raw_affiliation_string":"Centre for Wireless Communications (CWC), University of Oulu,Finland","institution_ids":["https://openalex.org/I98381234"]},{"raw_affiliation_string":"Centre for Wireless Communications (CWC), University of Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034665130","display_name":"Zaheer Khan","orcid":"https://orcid.org/0000-0003-2951-5684"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Zaheer Khan","raw_affiliation_strings":["Centre for Wireless Communications (CWC), University of Oulu,Finland","Centre for Wireless Communications (CWC), University of Oulu, Finland"],"affiliations":[{"raw_affiliation_string":"Centre for Wireless Communications (CWC), University of Oulu,Finland","institution_ids":["https://openalex.org/I98381234"]},{"raw_affiliation_string":"Centre for Wireless Communications (CWC), University of Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076133663","display_name":"Kenta Umebayashi","orcid":"https://orcid.org/0000-0002-4669-7187"},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenta Umebayashi","raw_affiliation_strings":["Tokyo University of Agriculture and Technology,Japan","Tokyo University of Agriculture and Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Agriculture and Technology,Japan","institution_ids":["https://openalex.org/I92614990"]},{"raw_affiliation_string":"Tokyo University of Agriculture and Technology, Japan","institution_ids":["https://openalex.org/I92614990"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011741664"],"corresponding_institution_ids":["https://openalex.org/I98381234"],"apc_list":null,"apc_paid":null,"fwci":0.7117,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68043322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9959999918937683,"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/T12384","display_name":"Customer churn and segmentation","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.8446911573410034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7546656131744385},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6639090180397034},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.5482414960861206},{"id":"https://openalex.org/keywords/physical-layer","display_name":"Physical layer","score":0.5049746632575989},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5029019713401794},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4600183367729187},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.453738808631897},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.43111729621887207},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.42015716433525085},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3960458040237427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3550497591495514},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14491304755210876},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.13885143399238586},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10572770237922668},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09194174408912659}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.8446911573410034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7546656131744385},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6639090180397034},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5482414960861206},{"id":"https://openalex.org/C19247436","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"Physical layer","level":3,"score":0.5049746632575989},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5029019713401794},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4600183367729187},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.453738808631897},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.43111729621887207},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.42015716433525085},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3960458040237427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3550497591495514},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14491304755210876},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.13885143399238586},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10572770237922668},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09194174408912659},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/eucnc/6gsummit51104.2021.9482498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eucnc/6gsummit51104.2021.9482498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Joint European Conference on Networks and Communications &amp; 6G Summit (EuCNC/6G Summit)","raw_type":"proceedings-article"},{"id":"pmh:oai:oulu.fi:nbnfi-fe2021102151922","is_oa":false,"landing_page_url":"http://urn.fi/urn:nbn:fi-fe2021102151922","pdf_url":null,"source":{"id":"https://openalex.org/S4306400284","display_name":"University of Oulu Repository (University of Oulu)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98381234","host_organization_name":"University of Oulu","host_organization_lineage":["https://openalex.org/I98381234"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3209349334","display_name":null,"funder_award_id":"JPJ000595","funder_id":"https://openalex.org/F4320325628","funder_display_name":"Ministry of Internal Affairs and Communications"},{"id":"https://openalex.org/G4230935547","display_name":null,"funder_award_id":"318927","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G5803856225","display_name":null,"funder_award_id":"815056","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"id":"https://openalex.org/F4320325628","display_name":"Ministry of Internal Affairs and Communications","ror":"https://ror.org/00vs1pz50"},{"id":"https://openalex.org/F4320336704","display_name":"Infotech Oulu","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W1547333707","https://openalex.org/W1924770834","https://openalex.org/W1965617235","https://openalex.org/W2025051992","https://openalex.org/W2040395995","https://openalex.org/W2064675550","https://openalex.org/W2093432603","https://openalex.org/W2108537597","https://openalex.org/W2154987621","https://openalex.org/W2281611560","https://openalex.org/W2323575786","https://openalex.org/W2405230789","https://openalex.org/W2612759037","https://openalex.org/W2782791108","https://openalex.org/W2787753888","https://openalex.org/W2794778778","https://openalex.org/W2797791043","https://openalex.org/W2888883397","https://openalex.org/W2899889673","https://openalex.org/W2955047895","https://openalex.org/W2962921457","https://openalex.org/W2963035276","https://openalex.org/W2964335273","https://openalex.org/W2997771620","https://openalex.org/W3003335119","https://openalex.org/W3028356465","https://openalex.org/W3033902456","https://openalex.org/W6639497327","https://openalex.org/W6640212811","https://openalex.org/W6713812783","https://openalex.org/W6747337883"],"related_works":["https://openalex.org/W3175321409","https://openalex.org/W4312561791","https://openalex.org/W2389894046","https://openalex.org/W2215717369","https://openalex.org/W2974356760","https://openalex.org/W4312309719","https://openalex.org/W4313123484","https://openalex.org/W4386362517","https://openalex.org/W2146461990","https://openalex.org/W4200142652"],"abstract_inverted_index":{"Prediction":[0],"of":[1,25,39,78,127],"wireless":[2,102],"network":[3,48,103],"parameters,":[4],"such":[5,52,62],"as":[6,53,63,99,114],"traffic":[7],"(TU)":[8],"and":[9,41,58,68,81,108,124],"channel":[10],"utilization":[11],"(CU)":[12],"data,":[13],"can":[14],"help":[15],"in":[16,27,146],"proactive":[17],"resource":[18],"allocation":[19],"to":[20],"handle":[21],"the":[22,36,76,109,125],"increasing":[23],"amount":[24],"devices":[26],"an":[28,46],"enterprise":[29,47],"network.":[30],"In":[31],"this":[32],"work,":[33],"we":[34],"examined":[35],"medium-to-long-scale":[37],"forecasting":[38,86,129,149,153],"TU":[40],"CU":[42],"data":[43,92,98,141],"collected":[44],"from":[45],"using":[49],"classical":[50],"methods,":[51,61],"Holt-Winters,":[54],"Seasonal":[55],"ARIMA":[56],"(SARIMA),":[57],"machine":[59],"learning":[60],"long":[64],"short-term":[65],"memory":[66],"(LSTM)":[67],"gated":[69],"recurrent":[70],"unit":[71],"(GRU).":[72],"We":[73],"also":[74,132],"improved":[75],"performance":[77],"conventional":[79],"LSTM":[80],"GRU":[82],"for":[83],"time":[84,104,115,147],"series":[85,105,116,148],"by":[87],"proposing":[88],"features-like":[89],"grid":[90],"training":[91],"structure":[93],"which":[94],"uses":[95],"older":[96],"historical":[97],"features.":[100],"The":[101,119],"pre-processing":[106],"methods":[107,111],"verification":[110],"are":[112,131],"presented":[113],"analysis":[117],"steps.":[118],"model":[120],"hyper-parameters":[121],"selections":[122],"process":[123],"comparison":[126],"different":[128],"models":[130],"provided.":[133],"This":[134],"work":[135],"has":[136,142],"proven":[137],"that":[138],"physical":[139],"layer":[140],"more":[143],"predictive":[144],"power":[145],"aspect":[150],"with":[151],"all":[152],"models.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
