{"id":"https://openalex.org/W4415482570","doi":"https://doi.org/10.1109/access.2025.3624754","title":"Leveraging GNNs for Intent-Driven 5G RAN Optimization in Autonomous Networks","display_name":"Leveraging GNNs for Intent-Driven 5G RAN Optimization in Autonomous Networks","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415482570","doi":"https://doi.org/10.1109/access.2025.3624754"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3624754","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3624754","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3624754","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077471922","display_name":"Andrey Silva","orcid":"https://orcid.org/0000-0001-8320-8234"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Andrey Silva","raw_affiliation_strings":["Ericsson Research, Brazil, Stockholm, Sweden","Ericsson Research, Sweden"],"raw_orcid":"https://orcid.org/0000-0001-8320-8234","affiliations":[{"raw_affiliation_string":"Ericsson Research, Brazil, Stockholm, Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"Ericsson Research, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012117887","display_name":"Dagnachew Azene Temesgene","orcid":"https://orcid.org/0000-0002-2280-3336"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Dagnachew Azene Temesgene","raw_affiliation_strings":["Ericsson Research, Brazil, Stockholm, Sweden","Ericsson Research, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ericsson Research, Brazil, Stockholm, Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"Ericsson Research, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062442180","display_name":"Aldebaro Klautau","orcid":"https://orcid.org/0000-0001-7773-2080"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aldebaro Klautau","raw_affiliation_strings":["Federal University of Pará, Belém, Brazil","Federal University of Pará, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-7773-2080","affiliations":[{"raw_affiliation_string":"Federal University of Pará, Belém, Brazil","institution_ids":[]},{"raw_affiliation_string":"Federal University of Pará, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067372518","display_name":"Rebecca Aben-Athar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rebecca Aben-Athar","raw_affiliation_strings":["Federal University of Pará, Belém, Brazil","Federal University of Pará, Brazil"],"raw_orcid":"https://orcid.org/0009-0005-3847-7677","affiliations":[{"raw_affiliation_string":"Federal University of Pará, Belém, Brazil","institution_ids":[]},{"raw_affiliation_string":"Federal University of Pará, Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065263345","display_name":"Cleverson Nahum","orcid":"https://orcid.org/0000-0001-9644-5394"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cleverson Nahum","raw_affiliation_strings":["Federal University of Pará, Belém, Brazil","Federal University of Pará, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-9644-5394","affiliations":[{"raw_affiliation_string":"Federal University of Pará, Belém, Brazil","institution_ids":[]},{"raw_affiliation_string":"Federal University of Pará, Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9811,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77372396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"13","issue":null,"first_page":"189096","last_page":"189110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11932","display_name":"Wireless Body Area Networks","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.984499990940094,"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"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.967199981212616,"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/key","display_name":"Key (lock)","score":0.6122999787330627},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4650000035762787},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4546000063419342},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.4302999973297119},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4180000126361847},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.349700003862381},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.34310001134872437},{"id":"https://openalex.org/keywords/ran","display_name":"Ran","score":0.3334999978542328}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8499000072479248},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6122999787330627},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5274999737739563},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4650000035762787},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4546000063419342},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.4302999973297119},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4180000126361847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38199999928474426},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.349700003862381},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.34310001134872437},{"id":"https://openalex.org/C160704184","wikidata":"https://www.wikidata.org/wiki/Q18031028","display_name":"Ran","level":2,"score":0.3334999978542328},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3156000077724457},{"id":"https://openalex.org/C203274722","wikidata":"https://www.wikidata.org/wiki/Q7001161","display_name":"Network performance","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C199776023","wikidata":"https://www.wikidata.org/wiki/Q202875","display_name":"Negotiation","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.28540000319480896},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C81877898","wikidata":"https://www.wikidata.org/wiki/Q1965787","display_name":"Network monitoring","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C139940560","wikidata":"https://www.wikidata.org/wiki/Q290036","display_name":"Network simulation","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3624754","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3624754","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8cfce5c1cd3e4edabf3a0498f17d2a01","is_oa":true,"landing_page_url":"https://doaj.org/article/8cfce5c1cd3e4edabf3a0498f17d2a01","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 189096-189110 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3624754","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3624754","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3103592169","display_name":null,"funder_award_id":"2020/05127-2","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Intent-based":[0],"networking":[1],"(IBN)":[2],"is":[3,30],"a":[4,54,89,115],"key":[5],"paradigm":[6],"for":[7,32,57,68,82],"enabling":[8],"autonomous":[9],"networks":[10,41],"by":[11],"abstracting":[12],"complex":[13],"manual":[14],"configurations":[15],"into":[16,106],"high-level":[17],"intents.":[18],"In":[19,73],"this":[20,74],"context,":[21],"predicting":[22,83],"the":[23,103,107,128,139,157,163,172,195,202],"impact":[24],"of":[25,102,117,130,141,165,197,206],"configuration":[26,142],"and":[27,37,44,61,120,136,183,204],"topology":[28],"changes":[29,143],"critical":[31],"ensuring":[33],"efficient":[34],"resource":[35],"allocation":[36],"resolving":[38],"conflicts":[39],"in":[40,71,88,160,200],"with":[42,150],"shared":[43],"constrained":[45],"resources.":[46,209],"Graph":[47],"Neural":[48],"Networks":[49],"(GNNs)":[50],"have":[51],"emerged":[52],"as":[53,111,114],"powerful":[55],"tool":[56],"modeling":[58],"network":[59,152],"structures":[60],"processing":[62],"relational":[63],"data,":[64],"making":[65],"them":[66],"well-suited":[67],"predictive":[69],"tasks":[70],"IBN.":[72],"paper,":[75],"we":[76,154],"propose":[77],"an":[78,97],"improved":[79],"GNN-based":[80,158],"framework":[81],"Key":[84],"Performance":[85],"Indicators":[86],"(KPIs)":[87],"fifth-generation":[90],"(5G)":[91],"Ran":[92],"Access":[93],"Network":[94],"(RAN)":[95],"within":[96],"IBN":[98],"architecture,":[99],"implementing":[100],"state":[101],"art":[104],"features":[105],"intent":[108,181],"system,":[109],"such":[110],"utility":[112,166],"function":[113],"means":[116],"user":[118,189],"satisfaction,":[119],"standardized":[121],"optional":[122],"negotiation":[123],"operations.":[124],"Our":[125],"approach":[126],"leverages":[127],"ability":[129],"GNNs":[131],"to":[132,162,171,177],"learn":[133],"network-wide":[134],"representations":[135],"accurately":[137],"estimate":[138],"effects":[140],"on":[144],"multiple":[145],"KPIs.":[146],"Through":[147],"extensive":[148],"experimentation":[149],"different":[151],"configurations,":[153],"demonstrate":[155],"that":[156],"model":[159],"addition":[161],"information":[164],"functions":[167],"provides":[168],"results":[169,193],"close":[170],"optimal":[173],"solution,":[174],"being":[175],"able":[176],"balance":[178],"between":[179],"conflicting":[180],"targets,":[182],"outperforming":[184],"baseline":[185],"approaches":[186],"providing":[187],"higher":[188],"satisfaction":[190],"rate.":[191],"These":[192],"highlight":[194],"potential":[196],"our":[198],"solution":[199],"optimizing":[201],"management":[203],"operation":[205],"intent-based":[207],"RAN":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-23T00:00:00"}