{"id":"https://openalex.org/W3110506085","doi":"https://doi.org/10.1109/icnp49622.2020.9259378","title":"A Constrained Reinforcement Learning Based Approach for Network Slicing","display_name":"A Constrained Reinforcement Learning Based Approach for Network Slicing","publication_year":2020,"publication_date":"2020-10-13","ids":{"openalex":"https://openalex.org/W3110506085","doi":"https://doi.org/10.1109/icnp49622.2020.9259378","mag":"3110506085"},"language":"en","primary_location":{"id":"doi:10.1109/icnp49622.2020.9259378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp49622.2020.9259378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 28th International Conference on Network Protocols (ICNP)","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":["Computer Science Department, University of California, Davis"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, 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":"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":["Computer Science Department, University of California, Davis"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of California, Davis","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065806048"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":5.3383,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.95923422,"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":"1","last_page":"6"},"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/T10400","display_name":"Network Security and Intrusion Detection","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/T12127","display_name":"Software System Performance and Reliability","score":0.982200026512146,"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":0.8634982109069824},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8211755156517029},{"id":"https://openalex.org/keywords/slicing","display_name":"Slicing","score":0.7127525806427002},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6199648380279541},{"id":"https://openalex.org/keywords/orchestration","display_name":"Orchestration","score":0.6163503527641296},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.609358012676239},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.561465859413147},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.49538934230804443},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37724196910858154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3562294840812683},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.23322337865829468},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23001202940940857}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8634982109069824},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8211755156517029},{"id":"https://openalex.org/C2776190703","wikidata":"https://www.wikidata.org/wiki/Q488148","display_name":"Slicing","level":2,"score":0.7127525806427002},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6199648380279541},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.6163503527641296},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.609358012676239},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.561465859413147},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.49538934230804443},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37724196910858154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3562294840812683},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.23322337865829468},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23001202940940857},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/icnp49622.2020.9259378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp49622.2020.9259378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 28th International Conference on Network Protocols (ICNP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1771410628","https://openalex.org/W2296016264","https://openalex.org/W2613010233","https://openalex.org/W2736601468","https://openalex.org/W2784465508","https://openalex.org/W2897239815","https://openalex.org/W2900804979","https://openalex.org/W2902429452","https://openalex.org/W2919034928","https://openalex.org/W2962857922","https://openalex.org/W2963334314","https://openalex.org/W2966132576","https://openalex.org/W2982605438","https://openalex.org/W2998619042","https://openalex.org/W6638018090","https://openalex.org/W6741002519","https://openalex.org/W6747790125","https://openalex.org/W6751885733"],"related_works":["https://openalex.org/W79913212","https://openalex.org/W4400868993","https://openalex.org/W3096874164","https://openalex.org/W1985560493","https://openalex.org/W2386410636","https://openalex.org/W2357975469","https://openalex.org/W2145363145","https://openalex.org/W1626977535","https://openalex.org/W4284974072","https://openalex.org/W2341346307"],"abstract_inverted_index":{"With":[0],"the":[1,13,63,74,100,122],"proliferation":[2],"of":[3,10,76],"mobile":[4],"networks,":[5],"we":[6,87,120],"face":[7],"strong":[8],"diversification":[9],"services,":[11],"demanding":[12],"current":[14],"network":[15,25,42,48,96],"to":[16,73,132],"embed":[17],"more":[18],"flexibility.":[19],"To":[20,83],"satisfy":[21],"this":[22,85],"daring":[23],"need,":[24],"slicing":[26],"is":[27,58,145],"embraced":[28],"as":[29,104],"a":[30,89,105],"promising":[31],"solution":[32],"for":[33,53,95],"resource":[34,45,54,70,101,148],"utilization,":[35],"in":[36,147],"5G":[37],"and":[38,47,79,111,127,136,154],"future":[39],"networks.":[40],"In":[41],"slicing,":[43],"dynamic":[44],"orchestration":[46,71],"slice":[49],"management":[50],"are":[51],"critical":[52],"efficiency.":[55],"However,":[56],"it":[57,113],"highly":[59],"complicated":[60],"such":[61],"that":[62,142],"traditional":[64],"approaches":[65],"can":[66],"not":[67],"effectively":[68],"perform":[69],"due":[72],"lack":[75],"accurate":[77],"models":[78],"hidden":[80],"problem":[81,103],"structures.":[82],"address":[84],"challenge,":[86],"propose":[88],"constrained":[90,115],"reinforcement":[91,116],"learning":[92,117],"based":[93],"approach":[94],"slicing.":[97],"We":[98],"formulate":[99],"allocation":[102,149],"Constrained":[106],"Markov":[107],"Decision":[108],"Process":[109],"(CMDP)":[110],"solve":[112],"using":[114],"algorithms.":[118],"Specifically,":[119],"use":[121],"adaptive":[123],"interior-point":[124],"policy":[125,128],"optimization":[126],"safety":[129],"layer":[130],"methods":[131],"deal":[133],"with":[134,150],"cumulative":[135],"instantaneous":[137],"constraints.":[138],"Our":[139],"evaluations":[140],"show":[141],"our":[143],"method":[144],"effective":[146],"service":[151],"demand":[152],"guarantees":[153],"significantly":[155],"outperforms":[156],"baselines.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":10}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
