{"id":"https://openalex.org/W4390837723","doi":"https://doi.org/10.1155/2024/5525561","title":"Comparative Analysis of Time Series Prediction Algorithms on Multiple Network Function Data of NWDAF","display_name":"Comparative Analysis of Time Series Prediction Algorithms on Multiple Network Function Data of NWDAF","publication_year":2024,"publication_date":"2024-01-13","ids":{"openalex":"https://openalex.org/W4390837723","doi":"https://doi.org/10.1155/2024/5525561"},"language":"en","primary_location":{"id":"doi:10.1155/2024/5525561","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2024/5525561","pdf_url":"https://downloads.hindawi.com/journals/dsn/2024/5525561.pdf","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/dsn/2024/5525561.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027127973","display_name":"Dasheng Chen","orcid":"https://orcid.org/0000-0002-9661-9400"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dasheng Chen","raw_affiliation_strings":["Research Institute of China Telecom Corporation Limited, Guangzhou 510660, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-9661-9400","affiliations":[{"raw_affiliation_string":"Research Institute of China Telecom Corporation Limited, Guangzhou 510660, Guangdong, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101682129","display_name":"Qi Song","orcid":"https://orcid.org/0000-0001-6720-2940"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Song","raw_affiliation_strings":["Research Institute of China Telecom Corporation Limited, Guangzhou 510660, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of China Telecom Corporation Limited, Guangzhou 510660, Guangdong, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035470459","display_name":"Yinbin Zhang","orcid":"https://orcid.org/0000-0002-1105-8131"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinbin Zhang","raw_affiliation_strings":["Research Institute of China Telecom Corporation Limited, Guangzhou 510660, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of China Telecom Corporation Limited, Guangzhou 510660, Guangdong, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064682054","display_name":"Ling Li","orcid":"https://orcid.org/0000-0002-3151-4042"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Li","raw_affiliation_strings":["Research Institute of China Telecom Corporation Limited, Guangzhou 510660, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of China Telecom Corporation Limited, Guangzhou 510660, Guangdong, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101767239","display_name":"Zhiming Yang","orcid":"https://orcid.org/0000-0001-8614-722X"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiming Yang","raw_affiliation_strings":["Research Institute of China Telecom Corporation Limited, Guangzhou 510660, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of China Telecom Corporation Limited, Guangzhou 510660, Guangdong, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027127973"],"corresponding_institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"],"apc_list":{"value":2200,"currency":"USD","value_usd":2200},"apc_paid":{"value":2200,"currency":"USD","value_usd":2200},"fwci":0.5192,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61478341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"2024","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9944000244140625,"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":0.9944000244140625,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9904999732971191,"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/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.8559026718139648},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5438331961631775},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5310559272766113},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.519018292427063},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4863786995410919},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.46384766697883606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4598139226436615},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.4382883310317993},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.43621179461479187},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.381409227848053},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3295444846153259}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8559026718139648},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5438331961631775},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5310559272766113},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.519018292427063},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4863786995410919},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46384766697883606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4598139226436615},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.4382883310317993},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.43621179461479187},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.381409227848053},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3295444846153259},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2024/5525561","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2024/5525561","pdf_url":"https://downloads.hindawi.com/journals/dsn/2024/5525561.pdf","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:22f1f29272e942a9b0ab7a6826cb72e7","is_oa":true,"landing_page_url":"https://doaj.org/article/22f1f29272e942a9b0ab7a6826cb72e7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Distributed Sensor Networks, Vol 2024 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2024/5525561","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2024/5525561","pdf_url":"https://downloads.hindawi.com/journals/dsn/2024/5525561.pdf","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390837723.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W2103972037","https://openalex.org/W2128145324","https://openalex.org/W2799900537","https://openalex.org/W2894490073","https://openalex.org/W2950379356","https://openalex.org/W2980994438","https://openalex.org/W3042792180","https://openalex.org/W3173539742","https://openalex.org/W3212890323","https://openalex.org/W4205397736","https://openalex.org/W4220719363","https://openalex.org/W4280556527","https://openalex.org/W4282919192","https://openalex.org/W4285019466","https://openalex.org/W4285115589","https://openalex.org/W4285814017","https://openalex.org/W4309162810","https://openalex.org/W4309462879","https://openalex.org/W4312311124","https://openalex.org/W4313597826","https://openalex.org/W4321608489","https://openalex.org/W4327928803","https://openalex.org/W4365813476","https://openalex.org/W4378966456","https://openalex.org/W4384080833"],"related_works":["https://openalex.org/W2570647323","https://openalex.org/W4379532240","https://openalex.org/W2206805568","https://openalex.org/W2076942471","https://openalex.org/W3027285423","https://openalex.org/W2863268765","https://openalex.org/W2953421802","https://openalex.org/W4205879366","https://openalex.org/W2896245927","https://openalex.org/W1961101704"],"abstract_inverted_index":{"With":[0],"the":[1,43,67,78,212,228,245,263],"emergence":[2],"and":[3,17,25,93,132,190,209,214,226,247,259],"vigorous":[4],"development":[5],"of":[6,36,46,60,64,142,153,176,197,206,216,249],"5G":[7,47,54],"technology,":[8,53],"there":[9],"is":[10,66,125],"a":[11,34,58,105,118,174],"significant":[12],"surge":[13],"in":[14,20,31,253,262],"network":[15,24,68,76,110,143,168,182,233,257],"usage":[16],"traffic,":[18],"resulting":[19],"heightened":[21],"complexity":[22],"within":[23],"IT":[26],"environments.":[27],"This":[28,73,194,237],"exponential":[29],"increase":[30],"activity":[32],"produces":[33],"plethora":[35],"events,":[37],"making":[38],"conventional":[39],"systems":[40],"inadequate":[41],"for":[42,109,159,181,232,256],"efficient":[44],"management":[45,260],"networks.":[48,99],"In":[49,100],"comparison":[50,213],"to":[51,80,128,161,202,221],"4G":[52],"technology":[55],"brings":[56],"forth":[57],"host":[59],"new":[61],"features,":[62],"one":[63],"which":[65],"data":[69,85,146,172],"analytics":[70,86],"function":[71,74,111],"(NWDAF).":[72],"grants":[75],"operators":[77],"flexibility":[79],"either":[81],"employ":[82],"their":[83,98,223],"own":[84],"methodologies":[87],"based":[88],"on":[89,167],"machine":[90,188],"learning":[91,95,189,192],"(ML)":[92],"deep":[94,191],"(DL)":[96],"into":[97,244],"this":[101,154],"paper,":[102],"we":[103,219],"present":[104],"dataset":[106,124,155],"named":[107],"\u201cNWDAF-NFPP\u201d":[108],"performance":[112,184,235],"time":[113,163],"series":[114,164],"prediction,":[115,185],"collected":[116,147],"from":[117],"laboratory":[119],"at":[120,148],"China":[121],"Telecom.":[122],"The":[123,151],"carefully":[126,200],"anonymized":[127],"ensure":[129,203],"maximum":[130],"realism":[131],"comprehensiveness,":[133],"while":[134],"safeguarding":[135],"sensitive":[136],"information.":[137],"It":[138],"encompasses":[139],"eight":[140],"categories":[141],"functions,":[144],"with":[145],"five-minute":[149],"intervals.":[150],"availability":[152],"provides":[156],"valuable":[157,242],"resources":[158],"researchers":[160],"conduct":[162],"prediction":[165],"research":[166],"element":[169,183,234],"performance.":[170],"Following":[171],"collection,":[173],"total":[175],"six":[177],"models":[178,198],"were":[179],"employed":[180],"encompassing":[186],"both":[187],"approaches.":[193],"diverse":[195],"set":[196],"was":[199],"chosen":[201],"comprehensive":[204],"coverage":[205],"different":[207],"techniques":[208],"algorithms.":[210],"Through":[211],"analysis":[215,239],"these":[217],"models,":[218],"aim":[220],"evaluate":[222],"predictive":[224],"capabilities":[225],"identify":[227],"most":[229],"effective":[230],"approach":[231],"prediction.":[236],"comparative":[238],"will":[240],"provide":[241],"insights":[243],"strengths":[246],"limitations":[248],"each":[250],"model,":[251],"aiding":[252],"informed":[254],"decision-making":[255],"optimization":[258],"strategies":[261],"future.":[264]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}