{"id":"https://openalex.org/W3114450627","doi":"https://doi.org/10.1109/wcsp49889.2020.9299774","title":"A Noval Satellite Network Traffic Prediction Method Based on GCN-GRU","display_name":"A Noval Satellite Network Traffic Prediction Method Based on GCN-GRU","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3114450627","doi":"https://doi.org/10.1109/wcsp49889.2020.9299774","mag":"3114450627"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp49889.2020.9299774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp49889.2020.9299774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5018588825","display_name":"Yang Li","orcid":"https://orcid.org/0000-0002-4268-4004"},"institutions":[{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yang","raw_affiliation_strings":["College of Information Engineering, Dalian University, Dalian, China","Key Laboratory of Communication and Network, Dalian University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Dalian University, Dalian, China","institution_ids":["https://openalex.org/I4210092944"]},{"raw_affiliation_string":"Key Laboratory of Communication and Network, Dalian University, Dalian, China","institution_ids":["https://openalex.org/I4210092944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086152073","display_name":"Xiangxiang Gu","orcid":"https://orcid.org/0000-0002-5403-5124"},"institutions":[{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangxiang Gu","raw_affiliation_strings":["College of Information Engineering, Dalian University, Dalian, China","Key Laboratory of Communication and Network, Dalian University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Dalian University, Dalian, China","institution_ids":["https://openalex.org/I4210092944"]},{"raw_affiliation_string":"Key Laboratory of Communication and Network, Dalian University, Dalian, China","institution_ids":["https://openalex.org/I4210092944"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063994635","display_name":"Huaifeng Shi","orcid":"https://orcid.org/0000-0002-5364-4956"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaifeng Shi","raw_affiliation_strings":["College of Automation, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5252,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.92547299,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"718","last_page":"723"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.98089998960495,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9596999883651733,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7158240079879761},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5695662498474121},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5260510444641113},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.5051906704902649},{"id":"https://openalex.org/keywords/network-traffic-simulation","display_name":"Network traffic simulation","score":0.4684925973415375},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4648750126361847},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4431628882884979},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.4112473428249359},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37527820467948914},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3081445097923279},{"id":"https://openalex.org/keywords/network-traffic-control","display_name":"Network traffic control","score":0.2124747931957245},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1884942650794983},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.0980062484741211},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08144035935401917},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06691941618919373}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7158240079879761},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5695662498474121},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5260510444641113},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.5051906704902649},{"id":"https://openalex.org/C94168897","wikidata":"https://www.wikidata.org/wiki/Q574324","display_name":"Network traffic simulation","level":4,"score":0.4684925973415375},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4648750126361847},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4431628882884979},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.4112473428249359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37527820467948914},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3081445097923279},{"id":"https://openalex.org/C201100257","wikidata":"https://www.wikidata.org/wiki/Q393287","display_name":"Network traffic control","level":3,"score":0.2124747931957245},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1884942650794983},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0980062484741211},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08144035935401917},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06691941618919373},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp49889.2020.9299774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp49889.2020.9299774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2062864198","https://openalex.org/W2112292720","https://openalex.org/W2159824477","https://openalex.org/W2792542512","https://openalex.org/W2899178888"],"related_works":["https://openalex.org/W2374980776","https://openalex.org/W2382692540","https://openalex.org/W2385916660","https://openalex.org/W3195411348","https://openalex.org/W1963878606","https://openalex.org/W2378981629","https://openalex.org/W1993870076","https://openalex.org/W2392968384","https://openalex.org/W2386286405","https://openalex.org/W2079613190"],"abstract_inverted_index":{"Satellite":[0],"network":[1,9,23,30,39,62,71,105,169],"traffic":[2,10,24,31,170],"is":[3,46,78,130],"spatially":[4],"and":[5,19,41,63,96,107,134,144,161],"temporally":[6],"dependent.":[7],"Traditional":[8],"prediction":[11,32,111,139,149,164],"models":[12],"are":[13],"unable":[14],"to":[15,55,86],"extract":[16,64,98],"the":[17,49,57,60,65,69,73,81,88,99,103,110,113,124,128,138,148,157,167],"spatial":[18,66,76,158],"temporal":[20,100],"characteristics":[21,67,77,101,160],"of":[22,51,59,68,83,92,102,142],"effectively.":[25],"In":[26],"this":[27,153],"paper,":[28],"a":[29],"model":[33,54,85,150],"combined":[34],"with":[35,75,123],"graph":[36],"convolutional":[37],"neural":[38],"(GCN)":[40],"gated":[42],"recursive":[43],"unit":[44],"(GRU)":[45],"proposed.":[47],"On":[48],"basis":[50],"using":[52],"GCN":[53],"learn":[56,87],"topology":[58],"satellite":[61,70,93,104,168],"traffic,":[72,106],"data":[74],"used":[79],"as":[80],"input":[82],"GRU":[84,126],"time":[89,140],"change":[90],"rule":[91],"node":[94],"attributes,":[95],"then":[97],"finally":[108],"make":[109],"through":[112],"full":[114],"connection":[115],"layer.":[116],"The":[117],"simulation":[118],"experiment":[119],"shows":[120],"that":[121,147],"compared":[122],"single":[125],"model,":[127],"RMSE":[129],"reduced":[131],"by":[132],"3.5%":[133],"3%":[135],"respectively":[136],"under":[137],"step":[141],"15min":[143],"30min,":[145],"indicating":[146],"proposed":[151],"in":[152],"paper":[154],"can":[155],"obtain":[156,162],"correlation":[159],"higher":[163],"accuracy":[165],"from":[166],"data.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}
