{"id":"https://openalex.org/W4322706873","doi":"https://doi.org/10.1109/twc.2023.3247241","title":"A Meta-Learning Based Framework for Cell-Level Mobile Network Traffic Prediction","display_name":"A Meta-Learning Based Framework for Cell-Level Mobile Network Traffic Prediction","publication_year":2023,"publication_date":"2023-02-28","ids":{"openalex":"https://openalex.org/W4322706873","doi":"https://doi.org/10.1109/twc.2023.3247241"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2023.3247241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2023.3247241","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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 Transactions on Wireless Communications","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/A5102927253","display_name":"Fuyou Li","orcid":"https://orcid.org/0000-0001-8168-5475"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fuyou Li","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, U.K"],"raw_orcid":"https://orcid.org/0000-0001-8168-5475","affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, U.K","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046428718","display_name":"Zitian Zhang","orcid":"https://orcid.org/0000-0003-1825-735X"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zitian Zhang","raw_affiliation_strings":["School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1825-735X","affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069850104","display_name":"Xiaoli Chu","orcid":"https://orcid.org/0000-0003-1863-6149"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiaoli Chu","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, U.K"],"raw_orcid":"https://orcid.org/0000-0003-1863-6149","affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, U.K","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320402","display_name":"Jiliang Zhang","orcid":"https://orcid.org/0000-0003-3750-6841"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Jiliang Zhang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China","Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, U.K"],"raw_orcid":"https://orcid.org/0000-0003-3750-6841","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, U.K","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017242825","display_name":"Shiqi Qiu","orcid":"https://orcid.org/0009-0005-9747-0213"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqi Qiu","raw_affiliation_strings":["School of Information Technology and Engineering, East China University of Science and Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology and Engineering, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100436731","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-3354-0690"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China","Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, U.K"],"raw_orcid":"https://orcid.org/0000-0002-3354-0690","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, U.K","institution_ids":["https://openalex.org/I91136226"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3446,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.91882618,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"22","issue":"6","first_page":"4264","last_page":"4280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.996999979019165,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9922000169754028,"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":0.7464308142662048},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.638784646987915},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5942990183830261},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.5931280851364136},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.5367435812950134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49078425765037537},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45692136883735657},{"id":"https://openalex.org/keywords/weight","display_name":"Weight","score":0.4347003102302551},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32745468616485596},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14394503831863403},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1146196722984314},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07806643843650818}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7464308142662048},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.638784646987915},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5942990183830261},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.5931280851364136},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.5367435812950134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49078425765037537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45692136883735657},{"id":"https://openalex.org/C183877218","wikidata":"https://www.wikidata.org/wiki/Q7979858","display_name":"Weight","level":3,"score":0.4347003102302551},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32745468616485596},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14394503831863403},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1146196722984314},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07806643843650818},{"id":"https://openalex.org/C51568863","wikidata":"https://www.wikidata.org/wiki/Q664495","display_name":"Lie algebra","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2023.3247241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2023.3247241","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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 Transactions on Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G7166221729","display_name":null,"funder_award_id":"62276231","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1605941627","https://openalex.org/W1641831875","https://openalex.org/W1981316174","https://openalex.org/W2009139797","https://openalex.org/W2017807084","https://openalex.org/W2035074976","https://openalex.org/W2042308583","https://openalex.org/W2062840500","https://openalex.org/W2091118421","https://openalex.org/W2126222482","https://openalex.org/W2128150466","https://openalex.org/W2146616964","https://openalex.org/W2172064003","https://openalex.org/W2190432600","https://openalex.org/W2324729601","https://openalex.org/W2343448572","https://openalex.org/W2514159439","https://openalex.org/W2533328922","https://openalex.org/W2573587735","https://openalex.org/W2579495707","https://openalex.org/W2602923095","https://openalex.org/W2612472936","https://openalex.org/W2762605243","https://openalex.org/W2789386460","https://openalex.org/W2807536558","https://openalex.org/W2912371381","https://openalex.org/W2921319277","https://openalex.org/W2963601182","https://openalex.org/W2979650406","https://openalex.org/W3034749137","https://openalex.org/W3101454826","https://openalex.org/W3209187475","https://openalex.org/W6607191485","https://openalex.org/W6631190155","https://openalex.org/W6678654976","https://openalex.org/W6991064601"],"related_works":["https://openalex.org/W2500106866","https://openalex.org/W2952407405","https://openalex.org/W2786928087","https://openalex.org/W2411032004","https://openalex.org/W2384373317","https://openalex.org/W2160365981","https://openalex.org/W2112006108","https://openalex.org/W2123553758","https://openalex.org/W2164613681","https://openalex.org/W4290755621"],"abstract_inverted_index":{"In":[0,37],"this":[1],"paper,":[2],"we":[3,70,137],"propose":[4,138],"a":[5,27,44,47,91,102,110,116,139],"meta-learning":[6],"based":[7,31,144],"cell-level":[8,82],"network":[9,53,67],"traffic":[10,68,83],"prediction":[11,29,34,41,166],"framework":[12],"(ML-TP),":[13],"which":[14],"can":[15,79,87,160],"provide":[16],"the":[17,23,33,38,73,81,97,121,124,133,149,152,158,163,174,179],"proper":[18,111],"initial":[19,112],"weight":[20,99,113],"vector":[21,100,114],"for":[22],"learning":[24,169],"model":[25],"of":[26,65,101,115,123,173,176,181],"new":[28,117],"task":[30,42],"on":[32],"task\u2019s":[35],"meta-features.":[36,93],"ML-TP,":[39],"each":[40,130,185],"forms":[43],"base-task,":[45],"and":[46,85,168,178],"multi-layer":[48],"long":[49],"short-term":[50],"memory":[51],"(LSTM)":[52],"is":[54,106],"constructed":[55],"as":[56,90],"its":[57],"base-learner.":[58],"Through":[59],"fast":[60],"Fourier":[61],"transform":[62],"(FFT)":[63],"analyses":[64],"real-world":[66],"data,":[69],"find":[71],"that":[72,96,157],"five":[74],"most":[75],"dominating":[76],"frequency":[77],"components":[78],"capture":[80],"variations,":[84],"hence":[86],"be":[88,109],"used":[89],"base-task\u2019s":[92,104,118],"We":[94],"prove":[95],"well-trained":[98],"previous":[103],"base-learner":[105,119],"likely":[107],"to":[108,129,146],"if":[120],"meta-features":[122],"two":[125],"base-tasks":[126],"are":[127],"close":[128],"other":[131],"in":[132,151,171,184],"Euclidean":[134],"space.":[135],"Accordingly,":[136],"K-nearest":[140],"neighbours":[141],"(KNN)":[142],"algorithm":[143],"meta-learner":[145],"deal":[147],"with":[148],"meta-task":[150],"ML-TP.":[153],"Numerical":[154],"tests":[155],"show":[156],"ML-TP":[159],"significantly":[161],"increase":[162],"base-learners\u2019":[164],"after-training":[165],"accuracy":[167],"efficiency":[170],"terms":[172],"number":[175,180],"base-samples":[177],"epochs":[182],"needed":[183],"base-learner\u2019s":[186],"fine-tuning":[187],"progress.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":8}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}