{"id":"https://openalex.org/W4315630174","doi":"https://doi.org/10.1109/globecom48099.2022.10001690","title":"Accurate Communication Traffic Forecasting with Multi-Source Adaptive Feature Boosting","display_name":"Accurate Communication Traffic Forecasting with Multi-Source Adaptive Feature Boosting","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4315630174","doi":"https://doi.org/10.1109/globecom48099.2022.10001690"},"language":"en","primary_location":{"id":"doi:10.1109/globecom48099.2022.10001690","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/globecom48099.2022.10001690","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","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/A5038612451","display_name":"Chengming Hu","orcid":"https://orcid.org/0000-0002-1099-0736"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]},{"id":"https://openalex.org/I4210117523","display_name":"Samsung (United Kingdom)","ror":"https://ror.org/01w6gjq94","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210117523"]}],"countries":["GB","KR"],"is_corresponding":false,"raw_author_name":"Chengming Hu","raw_affiliation_strings":["Samsung AI Center-Montreal, Samsung Electronics,Canada","Samsung AI Center-Montreal, Samsung Electronics, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung AI Center-Montreal, Samsung Electronics,Canada","institution_ids":["https://openalex.org/I2250650973","https://openalex.org/I4210117523"]},{"raw_affiliation_string":"Samsung AI Center-Montreal, Samsung Electronics, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083959011","display_name":"Ju Wang","orcid":"https://orcid.org/0000-0001-8026-9787"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]},{"id":"https://openalex.org/I4210117523","display_name":"Samsung (United Kingdom)","ror":"https://ror.org/01w6gjq94","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210117523"]}],"countries":["GB","KR"],"is_corresponding":false,"raw_author_name":"Ju Wang","raw_affiliation_strings":["Samsung AI Center-Montreal, Samsung Electronics,Canada","Samsung AI Center-Montreal, Samsung Electronics, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung AI Center-Montreal, Samsung Electronics,Canada","institution_ids":["https://openalex.org/I2250650973","https://openalex.org/I4210117523"]},{"raw_affiliation_string":"Samsung AI Center-Montreal, Samsung Electronics, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061391892","display_name":"Di Wu","orcid":"https://orcid.org/0000-0001-8697-1817"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]},{"id":"https://openalex.org/I4210117523","display_name":"Samsung (United Kingdom)","ror":"https://ror.org/01w6gjq94","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210117523"]}],"countries":["GB","KR"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["Samsung AI Center-Montreal, Samsung Electronics,Canada","Samsung AI Center-Montreal, Samsung Electronics, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung AI Center-Montreal, Samsung Electronics,Canada","institution_ids":["https://openalex.org/I2250650973","https://openalex.org/I4210117523"]},{"raw_affiliation_string":"Samsung AI Center-Montreal, Samsung Electronics, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100759705","display_name":"Xue Liu","orcid":"https://orcid.org/0000-0002-5159-8503"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]},{"id":"https://openalex.org/I4210117523","display_name":"Samsung (United Kingdom)","ror":"https://ror.org/01w6gjq94","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210117523"]}],"countries":["GB","KR"],"is_corresponding":false,"raw_author_name":"Xue Liu","raw_affiliation_strings":["Samsung AI Center-Montreal, Samsung Electronics,Canada","Samsung AI Center-Montreal, Samsung Electronics, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung AI Center-Montreal, Samsung Electronics,Canada","institution_ids":["https://openalex.org/I2250650973","https://openalex.org/I4210117523"]},{"raw_affiliation_string":"Samsung AI Center-Montreal, Samsung Electronics, Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075441381","display_name":"Gregory Dudek","orcid":"https://orcid.org/0000-0001-5040-4925"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]},{"id":"https://openalex.org/I4210117523","display_name":"Samsung (United Kingdom)","ror":"https://ror.org/01w6gjq94","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210117523"]}],"countries":["GB","KR"],"is_corresponding":false,"raw_author_name":"Gregory Dudek","raw_affiliation_strings":["Samsung AI Center-Montreal, Samsung Electronics,Canada","Samsung AI Center-Montreal, Samsung Electronics, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung AI Center-Montreal, Samsung Electronics,Canada","institution_ids":["https://openalex.org/I2250650973","https://openalex.org/I4210117523"]},{"raw_affiliation_string":"Samsung AI Center-Montreal, Samsung Electronics, Canada","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32723577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"abs/1805. 11730","issue":null,"first_page":"2316","last_page":"2321"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9714999794960022,"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/boosting","display_name":"Boosting (machine learning)","score":0.861786961555481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7517602443695068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5131693482398987},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5086051225662231},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4049175977706909}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.861786961555481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7517602443695068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5131693482398987},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5086051225662231},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4049175977706909},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom48099.2022.10001690","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/globecom48099.2022.10001690","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.550000011920929,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1574447377","https://openalex.org/W2113213522","https://openalex.org/W2121321017","https://openalex.org/W2145039203","https://openalex.org/W2152364540","https://openalex.org/W2190432600","https://openalex.org/W2240976812","https://openalex.org/W2498672755","https://openalex.org/W2514159439","https://openalex.org/W2762605243","https://openalex.org/W2789441909","https://openalex.org/W2805783416","https://openalex.org/W2807536558","https://openalex.org/W2890072063","https://openalex.org/W2903500163","https://openalex.org/W2921319277","https://openalex.org/W2963035276","https://openalex.org/W2963389592","https://openalex.org/W2982572724","https://openalex.org/W3116338043","https://openalex.org/W4210505986","https://openalex.org/W4210756645","https://openalex.org/W6752162782"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3082059448","https://openalex.org/W4313640622","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296"],"abstract_inverted_index":{"Advanced":[0],"communication":[1,56],"network":[2],"functions,":[3],"such":[4],"as":[5],"resource":[6],"allocation":[7],"and":[8,65,108,122,190],"dynamic":[9],"spectrum":[10],"management,":[11],"heavily":[12],"rely":[13],"on":[14,166,204],"the":[15,49,80,95,103,141,200,212,221],"accurate":[16,162],"forecasting":[17,27,71,142,164,213],"of":[18,82,120,172],"traffic.":[19],"Data-driven":[20],"solutions,":[21],"e.g.,":[22],"Neural":[23],"Network":[24],"(NN)":[25],"based":[26],"methods,":[28],"have":[29,45,73],"been":[30],"proven":[31],"to":[32,62,79,113,139,198,217,220],"be":[33,59,137],"effective":[34],"only":[35],"when":[36],"sufficient":[37],"data":[38,47,54,96,104,158,188,195],"is":[39,92,101,106,174],"available.":[40],"However,":[41],"Base":[42],"Stations":[43],"(BSs)":[44],"limited":[46,74],"in":[48,76,98,111],"real":[50],"world,":[51],"since":[52],"big":[53,83],"for":[55,161,185,193],"networks":[57],"could":[58],"extremely":[60],"expensive":[61],"collect,":[63],"store,":[64],"migrate.":[66],"Therefore,":[67],"most":[68],"existing":[69],"traffic":[70,115,163],"methods":[72],"accuracy":[75,214],"reality":[77],"due":[78],"lack":[81],"data.":[84],"To":[85],"tackle":[86],"this":[87],"problem,":[88],"our":[89,126],"key":[90],"observation":[91],"that,":[93],"despite":[94],"\u201camount\u201d":[97],"a":[99,129,150,175,205],"BS":[100],"limited,":[102],"\u201csource\u201d":[105],"rich":[107],"diverse,":[109],"i.e.,":[110],"addition":[112],"Internet":[114],"logs,":[116],"there":[117],"are":[118],"logs":[119],"Call":[121],"SMS.":[123],"More":[124],"importantly,":[125],"analysis":[127],"shows":[128],"high":[130],"correlation":[131],"between":[132],"different":[133,187],"sources,":[134],"which":[135,156],"can":[136],"utilized":[138],"improve":[140,199],"accuracy.":[143,201],"Motivated":[144],"by":[145,215],"this,":[146],"we":[147],"introduce":[148],"AdaSource,":[149],"Multi-Source":[151],"Adaptive":[152],"Feature":[153],"Boosting":[154],"approach,":[155],"utilizes":[157],"source":[159,196],"correlations":[160,197],"even":[165],"data-limited":[167],"BSs.":[168],"The":[169,202],"core":[170],"idea":[171],"AdaSource":[173,210],"novel":[176],"two-branch":[177],"NN":[178],"structure":[179],"that":[180,209],"adaptively":[181],"trains":[182],"multiple":[183,191],"Encoder-Decoders":[184],"refining":[186],"sources":[189],"Encoder-Predictors":[192],"utilizing":[194],"experiments":[203],"real-world":[206],"dataset":[207],"show":[208],"improves":[211],"up":[216],"30.14%,":[218],"compared":[219],"state-of-the-art":[222],"methods.":[223]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}