{"id":"https://openalex.org/W7166589220","doi":"https://doi.org/10.48550/arxiv.2606.28274","title":"Parameter Efficient Hybrid Transformer (PEHT) for Network Traffic Prediction via Dynamic Urban Congestion Integration","display_name":"Parameter Efficient Hybrid Transformer (PEHT) for Network Traffic Prediction via Dynamic Urban Congestion Integration","publication_year":2026,"publication_date":"2026-06-26","ids":{"openalex":"https://openalex.org/W7166589220","doi":"https://doi.org/10.48550/arxiv.2606.28274"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.28274","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28274","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.28274","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055927281","display_name":"Abdolazim Rezaei","orcid":"https://orcid.org/0000-0002-4181-3388"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rezaei, Abdolazim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076587013","display_name":"Mehdi Sookhak","orcid":"https://orcid.org/0000-0001-5822-3432"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sookhak, Mehdi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5073099407","display_name":"Mahboobeh Haghparast","orcid":"https://orcid.org/0000-0002-2003-2814"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haghparast, Mahboobeh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.8605999946594238,"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":0.8605999946594238,"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":0.04410000145435333,"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/T11478","display_name":"Caching and Content Delivery","score":0.017799999564886093,"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/encoder","display_name":"Encoder","score":0.5523999929428101},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.5205000042915344},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4293000102043152},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.42179998755455017},{"id":"https://openalex.org/keywords/network-congestion","display_name":"Network congestion","score":0.4117000102996826},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.38909998536109924},{"id":"https://openalex.org/keywords/network-traffic-control","display_name":"Network traffic control","score":0.35179999470710754}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7570000290870667},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5523999929428101},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.5205000042915344},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5016999840736389},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43560001254081726},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4293000102043152},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.42179998755455017},{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.4117000102996826},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.38909998536109924},{"id":"https://openalex.org/C201100257","wikidata":"https://www.wikidata.org/wiki/Q393287","display_name":"Network traffic control","level":3,"score":0.35179999470710754},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.31369999051094055},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3059000074863434},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C2984524470","wikidata":"https://www.wikidata.org/wiki/Q18141869","display_name":"Congestion management","level":4,"score":0.26019999384880066},{"id":"https://openalex.org/C203274722","wikidata":"https://www.wikidata.org/wiki/Q7001161","display_name":"Network performance","level":2,"score":0.25949999690055847}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.28274","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28274","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.28274","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28274","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8012139797210693}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"network":[1,22,45,63],"traffic":[2,46,108],"prediction":[3,18,47],"is":[4,24,137],"a":[5,44,57],"critical":[6],"element":[7],"for":[8],"efficient":[9],"resource":[10],"allocation":[11],"in":[12,128,139],"dynamic":[13],"urban":[14,51,68],"cellular":[15],"networks.":[16],"However,":[17],"remains":[19],"challenging":[20],"because":[21],"demand":[23],"influenced":[25],"by":[26],"complex":[27],"mobility":[28,52,69,99],"patterns,":[29],"congestion":[30,54,101,120],"dynamics,":[31],"and":[32,53,71,100,117,133],"heterogeneous":[33],"user":[34],"behavior.":[35],"This":[36],"paper":[37],"introduces":[38],"the":[39,77,82,104,112,140],"Parameter-Efficient":[40],"Hybrid":[41],"Transformer":[42,78],"(PEHT),":[43],"framework":[48],"that":[49,123],"integrates":[50],"information":[55],"into":[56,76,103],"Transformer-based":[58],"architecture.":[59],"PEHT":[60,124],"separates":[61],"primary":[62],"communication":[64],"features":[65,70,102],"from":[66],"secondary":[67],"incorporates":[72],"Low-Rank":[73],"Adaptation":[74],"(LoRA)":[75],"encoder":[79],"to":[80,106],"reduce":[81],"number":[83],"of":[84,130],"trainable":[85],"parameters":[86],"while":[87],"maintaining":[88],"high":[89],"predictive":[90],"accuracy.":[91],"A":[92],"multimodal":[93],"fusion":[94],"strategy":[95],"then":[96],"injects":[97],"external":[98],"decoder":[105],"improve":[107],"forecasting.":[109],"Experiments":[110],"on":[111],"Telecom":[113],"Italia":[114],"Milan":[115],"dataset":[116],"multiple":[118],"synthetic":[119],"scenarios":[121],"show":[122],"outperforms":[125],"state-of-the-art":[126],"baselines":[127],"terms":[129],"RMSE,":[131],"MAE,":[132],"$R^2$.":[134],"The":[135],"implementation":[136],"available":[138],"GitHub":[141],"repository.":[142]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-30T00:00:00"}