{"id":"https://openalex.org/W3047104333","doi":"https://doi.org/10.1109/secon48991.2020.9158437","title":"Cellular Network Traffic Prediction Incorporating Handover: A Graph Convolutional Approach","display_name":"Cellular Network Traffic Prediction Incorporating Handover: A Graph Convolutional Approach","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3047104333","doi":"https://doi.org/10.1109/secon48991.2020.9158437","mag":"3047104333"},"language":"en","primary_location":{"id":"doi:10.1109/secon48991.2020.9158437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/secon48991.2020.9158437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 17th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","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/A5100694822","display_name":"Shuai Zhao","orcid":"https://orcid.org/0000-0002-0705-6467"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shuai Zhao","raw_affiliation_strings":["Martin Tuchman School of Management, Leir Research Institute for Business, Technology, and Society New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Martin Tuchman School of Management, Leir Research Institute for Business, Technology, and Society New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050687293","display_name":"Xiaopeng Jiang","orcid":"https://orcid.org/0000-0002-0814-4514"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaopeng Jiang","raw_affiliation_strings":["Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111551648","display_name":"Guy Jacobson","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guy Jacobson","raw_affiliation_strings":["AT&T Labs, Bedminster, NJ, USA"],"affiliations":[{"raw_affiliation_string":"AT&T Labs, Bedminster, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112853619","display_name":"Rittwik Jana","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rittwik Jana","raw_affiliation_strings":["AT&T Labs, Bedminster, NJ, USA"],"affiliations":[{"raw_affiliation_string":"AT&T Labs, Bedminster, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103192048","display_name":"Wen-Ling Hsu","orcid":"https://orcid.org/0000-0003-2750-1369"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wen-Ling Hsu","raw_affiliation_strings":["AT&T Labs, Bedminster, NJ, USA"],"affiliations":[{"raw_affiliation_string":"AT&T Labs, Bedminster, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025622459","display_name":"Raif M. Rustamov","orcid":"https://orcid.org/0000-0003-2212-0284"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raif Rustamov","raw_affiliation_strings":["AT&T Labs, Bedminster, NJ, USA"],"affiliations":[{"raw_affiliation_string":"AT&T Labs, Bedminster, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032162906","display_name":"Manoop Talasila","orcid":"https://orcid.org/0000-0003-4667-8602"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manoop Talasila","raw_affiliation_strings":["AT&T Labs, Bedminster, NJ, USA"],"affiliations":[{"raw_affiliation_string":"AT&T Labs, Bedminster, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010727898","display_name":"Syed Anwar Aftab","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Syed Anwar Aftab","raw_affiliation_strings":["AT&T Labs, Bedminster, NJ, USA"],"affiliations":[{"raw_affiliation_string":"AT&T Labs, Bedminster, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419293","display_name":"Yi Chen","orcid":"https://orcid.org/0000-0003-3669-1643"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Chen","raw_affiliation_strings":["Martin Tuchman School of Management, Leir Research Institute for Business, Technology, and Society New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Martin Tuchman School of Management, Leir Research Institute for Business, Technology, and Society New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074290416","display_name":"Cristian Borcea","orcid":"https://orcid.org/0000-0003-0020-0910"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cristian Borcea","raw_affiliation_strings":["Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5100694822"],"corresponding_institution_ids":["https://openalex.org/I118118575"],"apc_list":null,"apc_paid":null,"fwci":4.1614,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.94039702,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.818562924861908},{"id":"https://openalex.org/keywords/handover","display_name":"Handover","score":0.7529733180999756},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6265643239021301},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.6032116413116455},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5581355690956116},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.5454179048538208},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5142626166343689},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.44631534814834595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4177585244178772},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.4164174497127533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39771589636802673},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32590073347091675},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2731078267097473},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2647359371185303},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.2097017467021942},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17527228593826294},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.1448436975479126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.818562924861908},{"id":"https://openalex.org/C111852164","wikidata":"https://www.wikidata.org/wiki/Q1414679","display_name":"Handover","level":2,"score":0.7529733180999756},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6265643239021301},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.6032116413116455},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5581355690956116},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.5454179048538208},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5142626166343689},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.44631534814834595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4177585244178772},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.4164174497127533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39771589636802673},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32590073347091675},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2731078267097473},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2647359371185303},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.2097017467021942},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17527228593826294},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.1448436975479126},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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":1,"locations":[{"id":"doi:10.1109/secon48991.2020.9158437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/secon48991.2020.9158437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 17th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.47999998927116394,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1605941627","https://openalex.org/W1641831875","https://openalex.org/W2101491865","https://openalex.org/W2128506685","https://openalex.org/W2156095592","https://openalex.org/W2163565319","https://openalex.org/W2514159439","https://openalex.org/W2519887557","https://openalex.org/W2567070169","https://openalex.org/W2613904329","https://openalex.org/W2756203131","https://openalex.org/W2762605243","https://openalex.org/W2768671728","https://openalex.org/W2789386460","https://openalex.org/W2807536558","https://openalex.org/W2887051675","https://openalex.org/W2890072063","https://openalex.org/W2902753153","https://openalex.org/W2910883594","https://openalex.org/W2914318698","https://openalex.org/W2921142444","https://openalex.org/W2942267387","https://openalex.org/W2962883549","https://openalex.org/W2963035276","https://openalex.org/W2963076818","https://openalex.org/W2964015378","https://openalex.org/W2964265128","https://openalex.org/W2964321699","https://openalex.org/W3100139952","https://openalex.org/W3103720336","https://openalex.org/W4210257598","https://openalex.org/W6675374677","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6731370813","https://openalex.org/W6737778391","https://openalex.org/W6745659845","https://openalex.org/W6749422299","https://openalex.org/W6759366931","https://openalex.org/W6807384801"],"related_works":["https://openalex.org/W2395800181","https://openalex.org/W2756697477","https://openalex.org/W2760405630","https://openalex.org/W2303288554","https://openalex.org/W3033750547","https://openalex.org/W2029216794","https://openalex.org/W4386698331","https://openalex.org/W2047225036","https://openalex.org/W2138314731","https://openalex.org/W2029263917"],"abstract_inverted_index":{"Cellular":[0],"traffic":[1,8,118,155],"prediction":[2,73,103,207],"enables":[3],"operators":[4],"to":[5,7,42,71,80,93,95,116,135,150],"adapt":[6],"demand":[9,156],"in":[10,46,204],"real-time":[11],"for":[12,88,157,178,183],"improving":[13],"network":[14,126,195],"resource":[15],"utilization":[16],"and":[17,82,90,131,139,152],"user":[18],"experience.":[19],"To":[20],"predict":[21],"cellular":[22,194],"traffic,":[23,67],"previous":[24],"studies":[25],"either":[26],"applied":[27],"Recurrent":[28],"Neural":[29,39],"Networks":[30,40],"(RNN)":[31],"at":[32,44],"individual":[33],"base":[34,96,159,179,186],"stations":[35,160],"or":[36],"adapted":[37],"Convolutional":[38],"(CNN)":[41],"work":[43,87],"grid-cells":[45],"a":[47,101,122,192],"geographically":[48],"defined":[49],"grid.":[50],"These":[51],"solutions":[52,77,84,203],"do":[53,85],"not":[54,86,176],"consider":[55],"explicitly":[56],"the":[57,62,66,108,113,143,163,167],"effect":[58],"of":[59,65,112,142,206],"handover":[60,114],"on":[61,162],"spatial":[63,138],"characteristics":[64],"which":[68],"may":[69],"lead":[70],"lower":[72],"accuracy.":[74,208],"Furthermore,":[75],"RNN":[76],"are":[78,91],"slow":[79],"train,":[81],"CNN-grid":[83],"cells":[89,184],"difficult":[92],"apply":[94],"stations.":[97,187],"This":[98],"paper":[99],"proposes":[100],"new":[102],"model,":[104],"STGCN-HO,":[105],"that":[106,198],"uses":[107],"transition":[109],"probability":[110],"matrix":[111],"graph":[115,129],"improve":[117],"prediction.":[119],"STGCN-HO":[120,147,172],"builds":[121],"stacked":[123],"residual":[124],"neural":[125],"structure":[127],"incorporating":[128],"convolutions":[130],"gated":[132],"linear":[133],"units":[134],"capture":[136],"both":[137],"temporal":[140],"aspects":[141],"traffic.":[144],"Unlike":[145,170],"RNN,":[146],"is":[148],"fast":[149],"train":[151],"simultaneously":[153],"predicts":[154],"all":[158],"based":[161],"information":[164],"gathered":[165],"from":[166,191],"whole":[168],"graph.":[169],"CNN-grid,":[171],"can":[173],"make":[174],"predictions":[175],"only":[177],"stations,":[180],"but":[181],"also":[182],"within":[185],"Experiments":[188],"using":[189],"data":[190],"large":[193],"operator":[196],"demonstrate":[197],"our":[199],"model":[200],"outperforms":[201],"existing":[202],"terms":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}