{"id":"https://openalex.org/W4226189775","doi":"https://doi.org/10.1109/bigdata52589.2021.9671840","title":"CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing","display_name":"CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4226189775","doi":"https://doi.org/10.1109/bigdata52589.2021.9671840"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata52589.2021.9671840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671840","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","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/A5065806048","display_name":"Yongshuai Liu","orcid":"https://orcid.org/0000-0002-9629-0393"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yongshuai Liu","raw_affiliation_strings":["Department of Computer Science, University of California, Davis"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Davis","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080158271","display_name":"Jiaxin Ding","orcid":"https://orcid.org/0000-0002-0009-9237"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin Ding","raw_affiliation_strings":["John Hopcroft Center for Computer Science, Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"John Hopcroft Center for Computer Science, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100622097","display_name":"Zhi-Li Zhang","orcid":"https://orcid.org/0000-0001-8584-2319"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhi-Li Zhang","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Minnesota"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Minnesota","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100352241","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0002-5379-8269"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["Department of Computer Science, University of California, Davis"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Davis","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065806048"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":4.62,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.96790246,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1427","last_page":"1437"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9980999827384949,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8106169700622559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8026694059371948},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.6692837476730347},{"id":"https://openalex.org/keywords/slicing","display_name":"Slicing","score":0.6592088937759399},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5821424126625061},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5507831573486328},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.5341189503669739},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.4624389111995697},{"id":"https://openalex.org/keywords/orchestration","display_name":"Orchestration","score":0.46168723702430725},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4363557994365692},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43470054864883423},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.42361241579055786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3136979341506958},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.27570563554763794},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2602708339691162}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8106169700622559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8026694059371948},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.6692837476730347},{"id":"https://openalex.org/C2776190703","wikidata":"https://www.wikidata.org/wiki/Q488148","display_name":"Slicing","level":2,"score":0.6592088937759399},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5821424126625061},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5507831573486328},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5341189503669739},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.4624389111995697},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.46168723702430725},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4363557994365692},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43470054864883423},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.42361241579055786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3136979341506958},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.27570563554763794},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2602708339691162},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata52589.2021.9671840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671840","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1771410628","https://openalex.org/W1961100276","https://openalex.org/W1965555277","https://openalex.org/W1994985205","https://openalex.org/W2108296824","https://openalex.org/W2155027007","https://openalex.org/W2175330946","https://openalex.org/W2296016264","https://openalex.org/W2546571074","https://openalex.org/W2585813514","https://openalex.org/W2604174486","https://openalex.org/W2605961225","https://openalex.org/W2612074600","https://openalex.org/W2613010233","https://openalex.org/W2615459164","https://openalex.org/W2736601468","https://openalex.org/W2744628735","https://openalex.org/W2766510149","https://openalex.org/W2784465508","https://openalex.org/W2804791273","https://openalex.org/W2896336465","https://openalex.org/W2900201178","https://openalex.org/W2900804979","https://openalex.org/W2902429452","https://openalex.org/W2911713224","https://openalex.org/W2919034928","https://openalex.org/W2962857922","https://openalex.org/W2963334314","https://openalex.org/W2963863328","https://openalex.org/W2982605438","https://openalex.org/W2998619042","https://openalex.org/W3002189898","https://openalex.org/W3110506085","https://openalex.org/W3122801138","https://openalex.org/W3162902207","https://openalex.org/W3179181747","https://openalex.org/W3189576409","https://openalex.org/W4250589301","https://openalex.org/W4293545785","https://openalex.org/W6638018090","https://openalex.org/W6683204974","https://openalex.org/W6687063787","https://openalex.org/W6737893269","https://openalex.org/W6741002519","https://openalex.org/W6747790125","https://openalex.org/W6751725685","https://openalex.org/W6751885733"],"related_works":["https://openalex.org/W2923452570","https://openalex.org/W206598027","https://openalex.org/W2978610750","https://openalex.org/W2022931285","https://openalex.org/W1589966275","https://openalex.org/W2086872282","https://openalex.org/W2137789903","https://openalex.org/W1592324786","https://openalex.org/W2534160330","https://openalex.org/W2153007255"],"abstract_inverted_index":{"As":[0],"mobile":[1],"networks":[2,35],"proliferate,":[3],"we":[4,98,116],"are":[5,51],"experiencing":[6],"a":[7,25,71,85,106],"strong":[8],"diversification":[9],"of":[10,73],"services,":[11],"which":[12],"requires":[13],"greater":[14],"flexibility":[15],"from":[16],"the":[17,82,102],"existing":[18],"network.":[19],"Network":[20],"slicing":[21],"is":[22,60],"proposed":[23],"as":[24,84],"promising":[26],"solution":[27],"for":[28,53,63],"resource":[29,45,55,139],"utilization":[30],"in":[31,138],"5G":[32],"and":[33,47,76,94,119,127],"future":[34],"to":[36,66,70,100],"address":[37],"this":[38,58],"dire":[39],"need.":[40],"In":[41,114],"network":[42,48],"slicing,":[43],"dynamic":[44,77],"orchestration":[46],"slice":[49],"management":[50],"crucial":[52],"maximizing":[54],"utilization.":[56],"Unfortunately,":[57],"process":[59],"too":[61],"complex":[62],"traditional":[64],"approaches":[65],"be":[67],"effective":[68],"due":[69],"lack":[72],"accurate":[74],"models":[75,93],"hidden":[78,95],"structures.":[79,96],"We":[80],"formulate":[81],"problem":[83,103],"Constrained":[86,107],"Markov":[87],"Decision":[88],"Process":[89],"(CMDP)":[90],"without":[91],"knowing":[92],"Additionally,":[97],"propose":[99],"solve":[101],"using":[104,122],"CLARA,":[105],"reinforcement":[108],"LeArning":[109],"based":[110],"Resource":[111],"Allocation":[112],"algorithm.":[113],"particular,":[115],"analyze":[117],"cumulative":[118],"instantaneous":[120],"constraints":[121],"adaptive":[123],"interior-point":[124],"policy":[125],"optimization":[126],"projection":[128],"layer,":[129],"respectively.":[130],"Evaluations":[131],"show":[132],"that":[133],"CLARA":[134],"clearly":[135],"outperforms":[136],"baselines":[137],"allocation":[140],"with":[141],"service":[142],"demand":[143],"guarantees.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}