{"id":"https://openalex.org/W7117895741","doi":"https://doi.org/10.1109/6gnet68413.2025.11314139","title":"Implementation-Aware AI Management Framework for AI-Native Networks","display_name":"Implementation-Aware AI Management Framework for AI-Native Networks","publication_year":2025,"publication_date":"2025-12-17","ids":{"openalex":"https://openalex.org/W7117895741","doi":"https://doi.org/10.1109/6gnet68413.2025.11314139"},"language":null,"primary_location":{"id":"doi:10.1109/6gnet68413.2025.11314139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/6gnet68413.2025.11314139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 4th International Conference on 6G Networking (6GNet)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5121748477","display_name":"S\u0142awomir Kukli\u0144ski","orcid":null},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"S\u0142awomir Kukli\u0144ski","raw_affiliation_strings":["Warsaw University of Technology,Warsaw,Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology,Warsaw,Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013679425","display_name":"Robert Ko\u0142akowski","orcid":"https://orcid.org/0000-0002-5451-8847"},"institutions":[{"id":"https://openalex.org/I126469861","display_name":"Orange (Poland)","ror":"https://ror.org/05dt0hn88","country_code":"PL","type":"company","lineage":["https://openalex.org/I126469861","https://openalex.org/I19370010"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Robert Ko\u0142akowski","raw_affiliation_strings":["Warsaw University of Technology and Orange Polska,Warsaw,Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology and Orange Polska,Warsaw,Poland","institution_ids":["https://openalex.org/I126469861"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5099526071","display_name":"Bart\u0142omiej Mastej","orcid":null},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Bart\u0142omiej Mastej","raw_affiliation_strings":["Warsaw University of Technology,Warsaw,Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology,Warsaw,Poland","institution_ids":["https://openalex.org/I108403487"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.55575366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"16","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.8274999856948853,"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"}},"topics":[{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.8274999856948853,"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"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.01269999984651804,"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"}},{"id":"https://openalex.org/T12216","display_name":"Network Time Synchronization Technologies","score":0.00800000037997961,"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/pipeline","display_name":"Pipeline (software)","score":0.6061999797821045},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4864000082015991},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4830999970436096},{"id":"https://openalex.org/keywords/network-management","display_name":"Network management","score":0.4016000032424927},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.3422999978065491},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.3140999972820282}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6729000210762024},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6061999797821045},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4864000082015991},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4830999970436096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43650001287460327},{"id":"https://openalex.org/C129763632","wikidata":"https://www.wikidata.org/wiki/Q1454667","display_name":"Network management","level":2,"score":0.4016000032424927},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.3422999978065491},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C81877898","wikidata":"https://www.wikidata.org/wiki/Q1965787","display_name":"Network monitoring","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C198783460","wikidata":"https://www.wikidata.org/wiki/Q629173","display_name":"Management system","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2768999934196472},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.26080000400543213},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/6gnet68413.2025.11314139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/6gnet68413.2025.11314139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 4th International Conference on 6G Networking (6GNet)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2099419573","https://openalex.org/W2905012420","https://openalex.org/W3015257548","https://openalex.org/W3044058243","https://openalex.org/W3045004532","https://openalex.org/W4281486913","https://openalex.org/W4312337604","https://openalex.org/W4360995249","https://openalex.org/W4384157928","https://openalex.org/W4391620743","https://openalex.org/W4396871622","https://openalex.org/W4400811274","https://openalex.org/W4404788040","https://openalex.org/W4405547182","https://openalex.org/W4408536751","https://openalex.org/W4412537258"],"related_works":[],"abstract_inverted_index":{"The":[0,25,46,78],"paper":[1,83],"concerns":[2],"the":[3,43,53,65,69,82,85,88,96,121,124,162],"implementation":[4],"of":[5,27,81,87,91,120,136],"AI":[6],"Function":[7],"(AIF)":[8],"management":[9,26],"in":[10,15],"AI-native":[11],"networks,":[12],"i.e.,":[13],"networks":[14],"which":[16],"AIFs":[17],"are":[18,72],"densely":[19],"deployed":[20],"across":[21],"any":[22],"network":[23,125],"plane.":[24],"such":[28],"functions":[29],"involves":[30],"observing":[31],"their":[32],"behaviour":[33],"and":[34,48,68,101,112,114,129,148],"making":[35],"decisions":[36],"on":[37,166],"whether":[38],"to":[39],"retrain":[40],"or":[41],"update":[42],"ML":[44],"model.":[45],"3GPP":[47],"ITU-T":[49],"have":[50,138],"already":[51],"addressed":[52],"problem,":[54],"but":[55],"so":[56],"far,":[57],"no":[58],"comprehensive":[59],"solution":[60],"has":[61],"been":[62,139],"proposed":[63],"for":[64,107,117,160],"networking":[66],"environment,":[67],"existing":[70],"descriptions":[71],"at":[73],"a":[74,92],"very":[75],"high":[76],"level.":[77],"main":[79],"contributions":[80],"are:":[84],"definition":[86],"internal":[89],"structure":[90],"generic":[93],"manageable":[94],"AIF,":[95],"AIF":[97,108],"Runtime":[98],"Pipeline":[99],"(RTP)":[100],"Model":[102],"Training":[103],"Pipelines":[104],"(MTP)":[105],"used":[106],"model":[109],"observation,":[110],"training,":[111],"update,":[113],"additional":[115],"components":[116],"efficient":[118],"integration":[119],"approach":[122],"with":[123,158],"Management":[126],"Plane":[127],"(MP)":[128],"Network":[130],"Digital":[131],"Twin":[132],"(NDT).":[133],"Three":[134],"variants":[135],"training":[137,163],"proposed:":[140],"local":[141],"(in":[142],"situ),":[143],"using":[144,149],"an":[145,150],"operator":[146],"cloud,":[147],"external":[151],"Machine":[152],"Learning":[153],"Operations":[154],"(MLOps)":[155],"platform,":[156],"along":[157],"guidelines":[159],"selecting":[161],"variant":[164],"based":[165],"performance.":[167]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-01-01T00:00:00"}
