{"id":"https://openalex.org/W4406258387","doi":"https://doi.org/10.1109/tmc.2025.3527966","title":"Spatio-Temporal Knowledge Driven Diffusion Model for Mobile Traffic Generation","display_name":"Spatio-Temporal Knowledge Driven Diffusion Model for Mobile Traffic Generation","publication_year":2025,"publication_date":"2025-01-10","ids":{"openalex":"https://openalex.org/W4406258387","doi":"https://doi.org/10.1109/tmc.2025.3527966"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2025.3527966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3527966","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","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/A5037855353","display_name":"Haoye Chai","orcid":"https://orcid.org/0000-0002-6215-6671"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoye Chai","raw_affiliation_strings":["Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6215-6671","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112370350","display_name":"Xin-Kun Qi","orcid":"https://orcid.org/0009-0007-2416-7138"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqian Qi","raw_affiliation_strings":["Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-2416-7138","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100355277","display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-5617-1659"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5617-1659","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":3.9305,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91041764,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"24","issue":"6","first_page":"4939","last_page":"4956"},"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":0.9991999864578247,"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":0.9991999864578247,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9972000122070312,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9815999865531921,"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":0.8462241291999817},{"id":"https://openalex.org/keywords/controllability","display_name":"Controllability","score":0.5695704817771912},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5119506120681763},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4218893051147461},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38662007451057434},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1054610013961792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8462241291999817},{"id":"https://openalex.org/C48209547","wikidata":"https://www.wikidata.org/wiki/Q1331104","display_name":"Controllability","level":2,"score":0.5695704817771912},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5119506120681763},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4218893051147461},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38662007451057434},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1054610013961792},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","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/tmc.2025.3527966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3527966","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1822599809","display_name":null,"funder_award_id":"2023M742010","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3614744892","display_name":null,"funder_award_id":"U23B2030","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1984113680","https://openalex.org/W2064675550","https://openalex.org/W2325027954","https://openalex.org/W2775969967","https://openalex.org/W2897256107","https://openalex.org/W2910883594","https://openalex.org/W2914592219","https://openalex.org/W2927303340","https://openalex.org/W2951610760","https://openalex.org/W2995790272","https://openalex.org/W3015142267","https://openalex.org/W3026534984","https://openalex.org/W3043558504","https://openalex.org/W3082935815","https://openalex.org/W3088157974","https://openalex.org/W3113921351","https://openalex.org/W3170282381","https://openalex.org/W3215281442","https://openalex.org/W3216866735","https://openalex.org/W4205209477","https://openalex.org/W4205263657","https://openalex.org/W4206755733","https://openalex.org/W4210623586","https://openalex.org/W4213130097","https://openalex.org/W4224322255","https://openalex.org/W4224985767","https://openalex.org/W4226382147","https://openalex.org/W4281858346","https://openalex.org/W4290991003","https://openalex.org/W4292074927","https://openalex.org/W4292259010","https://openalex.org/W4323042646","https://openalex.org/W4328028973","https://openalex.org/W4361802445","https://openalex.org/W4367046886","https://openalex.org/W4382316621","https://openalex.org/W4385245566","https://openalex.org/W4385562623","https://openalex.org/W4385568020","https://openalex.org/W4386729794","https://openalex.org/W4388936714","https://openalex.org/W4390100390","https://openalex.org/W4405429237","https://openalex.org/W6738964360","https://openalex.org/W6749825310","https://openalex.org/W6779823529","https://openalex.org/W6783182287","https://openalex.org/W6795892075","https://openalex.org/W6799025473","https://openalex.org/W6852839722"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2036697162","https://openalex.org/W2140812588","https://openalex.org/W2411113819","https://openalex.org/W2072887367","https://openalex.org/W2332386680","https://openalex.org/W2561315646","https://openalex.org/W2248621902"],"abstract_inverted_index":{"Generating":[0],"mobile":[1,23,72,138,163],"traffic":[2,24,38,73,139],"in":[3,18,48],"urban":[4,26,50,86],"environments":[5],"is":[6],"important":[7],"for":[8,32,70],"network":[9,117],"planning":[10],"and":[11,25,40,93,105,126,140,148],"optimization.":[12],"However,":[13],"existing":[14],"models":[15,34],"show":[16,171],"weakness":[17],"capturing":[19],"spatial-temporal":[20],"dynamics":[21],"between":[22],"environments.":[27],"This":[28],"makes":[29],"it":[30],"difficult":[31],"the":[33,42,54,85,91,110,115,135,161,173,188],"to":[35,82,155,183,190],"generate":[36,191],"high-fidelity":[37],"data":[39],"control":[41],"generation":[43,179],"process":[44],"across":[45],"different":[46,97],"regions":[47],"large-scale":[49],"environments,":[51],"ultimately":[52],"affecting":[53],"effectiveness":[55],"of":[56,96,118,137,197],"optimization":[57],"strategies.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62,113],"propose":[63],"a":[64,122,127,144,157,195],"Spatio-Temporal":[65],"Knowledge-driven":[66],"Diffusion":[67],"model":[68,120],"(STK-Diff)":[69],"controllable":[71],"generation.":[74],"We":[75],"construct":[76],"an":[77],"Urban":[78],"Knowledge":[79],"Graph":[80],"(UKG)":[81],"fully":[83],"characterize":[84],"features,":[87],"which":[88],"incorporates":[89],"both":[90],"spatial":[92,128,149],"semantic":[94],"relations":[95],"entities,":[98],"such":[99],"as":[100,154],"base":[101],"stations,":[102],"business":[103],"areas,":[104],"functional":[106],"regions.":[107],"Based":[108],"on":[109,160,167],"constructed":[111],"UKG,":[112],"design":[114],"denoising":[116],"diffusion":[119],"with":[121,194],"temporal":[123],"extraction":[124],"module":[125],"connection":[129],"module.":[130],"These":[131],"two":[132],"modules":[133],"capture":[134],"correlations":[136],"environment":[141],"features":[142],"via":[143],"frequency":[145],"attention":[146],"mechanism":[147],"graph":[150],"learning":[151],"scheme,":[152],"so":[153],"make":[156],"strong":[158],"controllability":[159,189],"generated":[162],"traffic.":[164],"Extensive":[165],"experiments":[166],"three":[168],"real-world":[169],"datasets":[170],"that":[172],"proposed":[174],"framework":[175],"not":[176],"only":[177],"improves":[178],"fidelity":[180],"by":[181],"up":[182],"19%,":[184],"but":[185],"also":[186],"enhances":[187],"specific":[192],"patterns,":[193],"gain":[196],"surpassing":[198],"15%.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
