{"id":"https://openalex.org/W4319338764","doi":"https://doi.org/10.1109/lnet.2023.3242680","title":"Short-Term Multivariate KPI Forecasting in Rural Fixed Wireless LTE Networks","display_name":"Short-Term Multivariate KPI Forecasting in Rural Fixed Wireless LTE Networks","publication_year":2023,"publication_date":"2023-02-07","ids":{"openalex":"https://openalex.org/W4319338764","doi":"https://doi.org/10.1109/lnet.2023.3242680"},"language":"en","primary_location":{"id":"doi:10.1109/lnet.2023.3242680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lnet.2023.3242680","pdf_url":null,"source":{"id":"https://openalex.org/S4210234060","display_name":"IEEE Networking Letters","issn_l":"2576-3156","issn":["2576-3156"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Networking Letters","raw_type":"journal-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/A5052218378","display_name":"Alexander G. B. Colpitts","orcid":"https://orcid.org/0000-0003-2198-1023"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alexander G. B. Colpitts","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of New Brunswick, Fredericton, Canada"],"raw_orcid":"https://orcid.org/0000-0003-2198-1023","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of New Brunswick, Fredericton, Canada","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046552370","display_name":"Brent R. Petersen","orcid":"https://orcid.org/0000-0001-5536-7801"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Brent R. Petersen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of New Brunswick, Fredericton, Canada"],"raw_orcid":"https://orcid.org/0000-0001-5536-7801","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of New Brunswick, Fredericton, Canada","institution_ids":["https://openalex.org/I106938459"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I106938459"],"apc_list":null,"apc_paid":null,"fwci":0.3314,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6911213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"5","issue":"1","first_page":"11","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.6488449573516846},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6208068132400513},{"id":"https://openalex.org/keywords/performance-indicator","display_name":"Performance indicator","score":0.5773480534553528},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4943253993988037},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4941084682941437},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4540598392486572},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.44237324595451355},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4340140223503113},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.411772757768631},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3728247284889221},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3606533110141754},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3598594069480896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3408347964286804},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26060038805007935},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.24927982687950134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6488449573516846},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6208068132400513},{"id":"https://openalex.org/C135510737","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance indicator","level":2,"score":0.5773480534553528},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4943253993988037},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4941084682941437},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4540598392486572},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.44237324595451355},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4340140223503113},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.411772757768631},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3728247284889221},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3606533110141754},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3598594069480896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3408347964286804},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26060038805007935},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.24927982687950134},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lnet.2023.3242680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lnet.2023.3242680","pdf_url":null,"source":{"id":"https://openalex.org/S4210234060","display_name":"IEEE Networking Letters","issn_l":"2576-3156","issn":["2576-3156"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Networking Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6963925857","display_name":null,"funder_award_id":"IT20667","funder_id":"https://openalex.org/F4320322675","funder_display_name":"Mitacs"}],"funders":[{"id":"https://openalex.org/F4320322675","display_name":"Mitacs","ror":"https://ror.org/00cjrc276"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1815076433","https://openalex.org/W1902237438","https://openalex.org/W2110784079","https://openalex.org/W2508128081","https://openalex.org/W2514159439","https://openalex.org/W2621249107","https://openalex.org/W2890072063","https://openalex.org/W2902753153","https://openalex.org/W2962883549","https://openalex.org/W2965791322","https://openalex.org/W2998198263","https://openalex.org/W3107324520","https://openalex.org/W3108737226","https://openalex.org/W3155409871","https://openalex.org/W3157175643","https://openalex.org/W3159034400","https://openalex.org/W3181231283","https://openalex.org/W3188207302","https://openalex.org/W4385245566","https://openalex.org/W6638545294","https://openalex.org/W6679436768","https://openalex.org/W6772318384","https://openalex.org/W6786941159"],"related_works":["https://openalex.org/W1828158523","https://openalex.org/W2049578243","https://openalex.org/W2000145235","https://openalex.org/W2122079181","https://openalex.org/W1985848810","https://openalex.org/W2889939530","https://openalex.org/W3121881699","https://openalex.org/W2748838164","https://openalex.org/W2066015000","https://openalex.org/W2912721996"],"abstract_inverted_index":{"Time":[0],"series":[1],"forecasting":[2,31],"has":[3],"gained":[4],"significant":[5],"traction":[6],"in":[7],"LTE":[8,36,44],"networks":[9],"as":[10,84],"a":[11],"way":[12],"to":[13,51],"enable":[14],"dynamic":[15],"resource":[16],"allocation,":[17],"upgrade":[18],"planning,":[19],"and":[20,89,94],"anomaly":[21],"detection.":[22],"This":[23],"letter":[24],"investigates":[25],"short-term":[26,86],"key":[27],"performance":[28],"indicator":[29],"(KPI)":[30],"for":[32],"rural":[33,41],"fixed":[34,42],"wireless":[35,43],"networks.":[37,54],"We":[38],"show":[39],"that":[40,58,72],"KPIs":[45],"have":[46],"shorter":[47],"temporal":[48],"dependencies":[49],"compared":[50],"urban":[52],"mobile":[53],"Second,":[55],"we":[56,70],"identify":[57],"the":[59],"inclusion":[60],"of":[61],"environmental":[62],"exogenous":[63],"features":[64],"yields":[65],"minimal":[66],"accuracy":[67],"improvements.":[68],"Finally,":[69],"find":[71],"sequence-to-sequence-based":[73],"(Seq2Seq)":[74],"models":[75],"outperform":[76],"simpler":[77],"recurrent":[78,91],"neural":[79],"network":[80],"(RNN)":[81],"models,":[82],"such":[83],"long":[85],"memory":[87],"(LSTM)":[88],"gated":[90],"unit":[92],"(GRU),":[93],"random":[95],"forest":[96],"(RF).":[97]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
