{"id":"https://openalex.org/W4388069922","doi":"https://doi.org/10.1109/africon55910.2023.10293471","title":"Deep Reinforcement Learning Approach to Slice Admission Control for Resilient 5G Wireless Network with Multidimensional State Space","display_name":"Deep Reinforcement Learning Approach to Slice Admission Control for Resilient 5G Wireless Network with Multidimensional State Space","publication_year":2023,"publication_date":"2023-09-20","ids":{"openalex":"https://openalex.org/W4388069922","doi":"https://doi.org/10.1109/africon55910.2023.10293471"},"language":"en","primary_location":{"id":"doi:10.1109/africon55910.2023.10293471","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/africon55910.2023.10293471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE AFRICON","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/A5064197119","display_name":"Mourice Otieno Ojijo","orcid":"https://orcid.org/0000-0002-7121-1775"},"institutions":[{"id":"https://openalex.org/I157614274","display_name":"University of Cape Town","ror":"https://ror.org/03p74gp79","country_code":"ZA","type":"education","lineage":["https://openalex.org/I157614274"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Mourice Otieno Ojijo","raw_affiliation_strings":["University of Cape Town,Dept. of Electrical Engineering,Cape Town,South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cape Town,Dept. of Electrical Engineering,Cape Town,South Africa","institution_ids":["https://openalex.org/I157614274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027017376","display_name":"Neco Ventura","orcid":"https://orcid.org/0000-0002-9743-0319"},"institutions":[{"id":"https://openalex.org/I157614274","display_name":"University of Cape Town","ror":"https://ror.org/03p74gp79","country_code":"ZA","type":"education","lineage":["https://openalex.org/I157614274"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Neco Ventura","raw_affiliation_strings":["University of Cape Town,Dept. of Electrical Engineering,Cape Town,South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cape Town,Dept. of Electrical Engineering,Cape Town,South Africa","institution_ids":["https://openalex.org/I157614274"]}]},{"author_position":"last","author":{"id":null,"display_name":"Daisy N. Ondwari","orcid":null},"institutions":[{"id":"https://openalex.org/I3131121749","display_name":"Kabarak University","ror":"https://ror.org/009b5t134","country_code":"KE","type":"education","lineage":["https://openalex.org/I3131121749"]}],"countries":["KE"],"is_corresponding":false,"raw_author_name":"Daisy N. Ondwari","raw_affiliation_strings":["Kabarak University,Dept. of Computer Science and IT,Kenya"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kabarak University,Dept. of Computer Science and IT,Kenya","institution_ids":["https://openalex.org/I3131121749"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.189,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52090321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9973999857902527,"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":0.9973999857902527,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9969000220298767,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9954000115394592,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8123658895492554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7505702972412109},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.5762760639190674},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.5572115182876587},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5057637691497803},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.49779200553894043},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4686379134654999},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.46751028299331665},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.46394631266593933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4455988109111786},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3704562783241272},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16712531447410583},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11328813433647156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07236379384994507},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0641653835773468}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8123658895492554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7505702972412109},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.5762760639190674},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5572115182876587},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5057637691497803},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.49779200553894043},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4686379134654999},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.46751028299331665},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.46394631266593933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4455988109111786},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3704562783241272},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16712531447410583},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11328813433647156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07236379384994507},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0641653835773468},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/africon55910.2023.10293471","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/africon55910.2023.10293471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE AFRICON","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1997932713","https://openalex.org/W2613010233","https://openalex.org/W2888872201","https://openalex.org/W2900106410","https://openalex.org/W2901008672","https://openalex.org/W2910043623","https://openalex.org/W2913601328","https://openalex.org/W2954072064","https://openalex.org/W3001402560","https://openalex.org/W3085402895","https://openalex.org/W3130426370","https://openalex.org/W3134205784","https://openalex.org/W4315606074"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W4225571923","https://openalex.org/W3212257828","https://openalex.org/W4297873223","https://openalex.org/W2350784623","https://openalex.org/W2126211886"],"abstract_inverted_index":{"Resource":[0],"slicing,":[1],"a":[2,83,110,124],"critical":[3],"technique":[4,88],"in":[5,123],"managing":[6],"network":[7,26,56,61,72,76],"resources,":[8],"has":[9],"been":[10],"integrated":[11],"into":[12],"the":[13],"latest":[14],"cellular":[15],"communication":[16],"paradigm":[17],"shift.":[18],"To":[19],"enable":[20],"service":[21,35],"providers":[22],"to":[23,31,58,70,95,108],"set":[24],"resilient":[25],"goals,":[27],"it":[28],"is":[29],"essential":[30],"analyze":[32],"quality":[33],"of":[34],"constrained":[36],"slice":[37,97,101,117,139],"requests":[38,98],"using":[39],"an":[40],"intelligent":[41],"algorithm.":[42],"These":[43],"detailed":[44],"characteristics":[45],"can":[46,67],"be":[47,68],"modeled":[48],"as":[49],"machine":[50],"learning":[51,94],"features":[52],"and":[53,74,99,119,147],"combined":[54],"with":[55],"dynamics":[57],"identify":[59],"hidden":[60],"parameters":[62,122],"proactively.":[63],"Slice":[64],"admission":[65,102,112,140,149],"control":[66,113,141],"used":[69],"examine":[71],"dependability":[73],"increase":[75],"resilience.":[77],"In":[78],"this":[79],"work,":[80],"we":[81],"propose":[82],"deep":[84,145],"deterministic":[85],"policy":[86],"gradient":[87],"called":[89],"sequential":[90],"twin-critic":[91],"actor-critic":[92],"reinforcement":[93,133],"evaluate":[96],"perform":[100],"control.":[103],"The":[104],"proposed":[105],"approach":[106,137],"aims":[107],"construct":[109],"multistage":[111],"process":[114],"for":[115,138],"evaluating":[116],"admissibility":[118],"adjusting":[120],"system":[121],"continuous":[125],"action":[126],"space.":[127],"Simulation":[128],"results":[129],"demonstrate":[130],"that":[131],"our":[132],"learning-based":[134],"resilience":[135],"evaluation":[136],"outperforms":[142],"conventional":[143],"actor-critic,":[144],"Q-learning,":[146],"greedy":[148],"strategies.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}