{"id":"https://openalex.org/W7125904464","doi":"https://doi.org/10.1109/commnet68224.2025.11288874","title":"Dynamic RAN Network Slicing Optimization via Hierarchical Reinforcement Learning","display_name":"Dynamic RAN Network Slicing Optimization via Hierarchical Reinforcement Learning","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W7125904464","doi":"https://doi.org/10.1109/commnet68224.2025.11288874"},"language":null,"primary_location":{"id":"doi:10.1109/commnet68224.2025.11288874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/commnet68224.2025.11288874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 8th International Conference on Advanced Communication Technologies and Networking (CommNet)","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/A5124085199","display_name":"Jietao Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jietao Zhao","raw_affiliation_strings":["Loughborough University,Institute for Digital Technologies,Loughborough,UK"],"affiliations":[{"raw_affiliation_string":"Loughborough University,Institute for Digital Technologies,Loughborough,UK","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069198027","display_name":"X. Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiaolan Liu","raw_affiliation_strings":["Loughborough University,Institute for Digital Technologies,Loughborough,UK"],"affiliations":[{"raw_affiliation_string":"Loughborough University,Institute for Digital Technologies,Loughborough,UK","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"last","author":{"id":null,"display_name":"Sangarapillai Lambotharan","orcid":null},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sangarapillai Lambotharan","raw_affiliation_strings":["Loughborough University,Institute for Digital Technologies,Loughborough,UK"],"affiliations":[{"raw_affiliation_string":"Loughborough University,Institute for Digital Technologies,Loughborough,UK","institution_ids":["https://openalex.org/I143804889"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5124085199"],"corresponding_institution_ids":["https://openalex.org/I143804889"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.73053512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9904999732971191,"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":0.9904999732971191,"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":0.0013000000035390258,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.0006000000284984708,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8598999977111816},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5913000106811523},{"id":"https://openalex.org/keywords/slicing","display_name":"Slicing","score":0.5852000117301941},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5802000164985657},{"id":"https://openalex.org/keywords/dynamic-network-analysis","display_name":"Dynamic network analysis","score":0.4339999854564667},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.4318000078201294},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4097000062465668},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.39640000462532043}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8598999977111816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8108000159263611},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5913000106811523},{"id":"https://openalex.org/C2776190703","wikidata":"https://www.wikidata.org/wiki/Q488148","display_name":"Slicing","level":2,"score":0.5852000117301941},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5802000164985657},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5278000235557556},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.4339999854564667},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.4318000078201294},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4097000062465668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3995000123977661},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.39640000462532043},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.39430001378059387},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.335099995136261},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.31369999051094055},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.3043999969959259},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29600000381469727},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29330000281333923},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2833999991416931},{"id":"https://openalex.org/C203274722","wikidata":"https://www.wikidata.org/wiki/Q7001161","display_name":"Network performance","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C160704184","wikidata":"https://www.wikidata.org/wiki/Q18031028","display_name":"Ran","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C51675839","wikidata":"https://www.wikidata.org/wiki/Q1665681","display_name":"Intelligent Network","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/commnet68224.2025.11288874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/commnet68224.2025.11288874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 8th International Conference on Advanced Communication Technologies and Networking (CommNet)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.40956345200538635,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Network":[0],"slicing":[1,56,113],"is":[2],"a":[3,49,85],"promising":[4],"technology":[5],"for":[6],"beyond":[7],"5G":[8],"and":[9,73,94,114,125],"6G":[10,24],"networks,":[11],"enabling":[12],"the":[13,23,27,110],"fulfillment":[14],"of":[15,29,34,64,79],"diverse":[16,30],"service":[17],"level":[18],"agreements":[19],"(SLAs).":[20],"However,":[21],"in":[22],"network":[25,36,55,88,96],"scenario,":[26],"emergence":[28],"applications":[31],"brings":[32],"challenges":[33],"allocating":[35],"resources":[37],"to":[38,70,109],"meet":[39],"users\u2019":[40],"unique":[41],"demands":[42],"within":[43],"dynamic":[44,54],"environments.":[45],"This":[46],"paper":[47],"proposes":[48],"Hierarchical":[50],"Reinforcement":[51],"Learning":[52],"(HRL)-based":[53],"(HRL-DNS)":[57],"algorithm":[58,98],"that":[59],"employs":[60],"Density-Based":[61],"Spatial":[62],"Clustering":[63],"Applications":[65],"with":[66,76],"Noise":[67],"(DBSCAN)":[68],"clustering":[69],"dynamically":[71],"identify":[72],"group":[74],"users":[75],"similar":[77],"quality":[78],"services":[80],"(QoS)":[81],"requirements.":[82],"We":[83],"employ":[84],"double":[86],"critic":[87],"Deep":[89],"Deterministic":[90],"Policy":[91],"Gradient":[92],"(DDPG)":[93],"deep-Q":[95],"(DQN)":[97],"at":[99],"both":[100],"HRL":[101],"levels.":[102],"The":[103],"experimental":[104],"results":[105],"demonstrate":[106],"that,":[107],"compared":[108],"traditional":[111],"static":[112],"benchmarks,":[115],"our":[116],"proposed":[117],"HRL-DNS":[118],"approach":[119],"achieves":[120],"better":[121],"resource":[122,130],"allocation":[123,131],"efficiency":[124],"fairness":[126],"by":[127],"learning":[128],"intelligent":[129],"strategies.":[132]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2026-01-29T00:00:00"}