{"id":"https://openalex.org/W3164201162","doi":"https://doi.org/10.1109/tnet.2022.3187310","title":"Using Distributed Reinforcement Learning for Resource Orchestration in a Network Slicing Scenario","display_name":"Using Distributed Reinforcement Learning for Resource Orchestration in a Network Slicing Scenario","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W3164201162","doi":"https://doi.org/10.1109/tnet.2022.3187310","mag":"3164201162"},"language":"en","primary_location":{"id":"doi:10.1109/tnet.2022.3187310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2022.3187310","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Networking","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2105.07946","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061523718","display_name":"Federico Mason","orcid":"https://orcid.org/0000-0001-5681-1695"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Federico Mason","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055250144","display_name":"Gianfranco Nencioni","orcid":"https://orcid.org/0000-0002-9684-0375"},"institutions":[{"id":"https://openalex.org/I92008406","display_name":"University of Stavanger","ror":"https://ror.org/02qte9q33","country_code":"NO","type":"education","lineage":["https://openalex.org/I92008406"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Gianfranco Nencioni","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway","institution_ids":["https://openalex.org/I92008406"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008187510","display_name":"Andr\u00e9a Zanella","orcid":"https://orcid.org/0000-0003-3671-5190"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Zanella","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061523718"],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":5.6842,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.96274824,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"31","issue":"1","first_page":"88","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9988999962806702,"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":0.9988999962806702,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9908999800682068,"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/computer-science","display_name":"Computer science","score":0.891531765460968},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.821394681930542},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.7197306156158447},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.6693629026412964},{"id":"https://openalex.org/keywords/orchestration","display_name":"Orchestration","score":0.637680172920227},{"id":"https://openalex.org/keywords/slicing","display_name":"Slicing","score":0.5417642593383789},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.49428439140319824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36296480894088745}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.891531765460968},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.821394681930542},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.7197306156158447},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6693629026412964},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.637680172920227},{"id":"https://openalex.org/C2776190703","wikidata":"https://www.wikidata.org/wiki/Q488148","display_name":"Slicing","level":2,"score":0.5417642593383789},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.49428439140319824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36296480894088745},{"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnet.2022.3187310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2022.3187310","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Networking","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2105.07946","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.07946","pdf_url":"https://arxiv.org/pdf/2105.07946","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:www.research.unipd.it:11577/3454823","is_oa":true,"landing_page_url":"https://hdl.handle.net/11577/3454823","pdf_url":null,"source":{"id":"https://openalex.org/S4377196283","display_name":"Research Padua  Archive (University of Padua)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2105.07946","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.07946","pdf_url":"https://arxiv.org/pdf/2105.07946","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1596914020","https://openalex.org/W2047094503","https://openalex.org/W2048971218","https://openalex.org/W2108756032","https://openalex.org/W2119567691","https://openalex.org/W2121863487","https://openalex.org/W2145339207","https://openalex.org/W2147717514","https://openalex.org/W2164278908","https://openalex.org/W2165698076","https://openalex.org/W2291588472","https://openalex.org/W2345842246","https://openalex.org/W2485276051","https://openalex.org/W2496609900","https://openalex.org/W2605961225","https://openalex.org/W2734940663","https://openalex.org/W2742537553","https://openalex.org/W2787687216","https://openalex.org/W2792994819","https://openalex.org/W2793519446","https://openalex.org/W2885423894","https://openalex.org/W2887003841","https://openalex.org/W2891706676","https://openalex.org/W2897785330","https://openalex.org/W2910439483","https://openalex.org/W2912263474","https://openalex.org/W2913775178","https://openalex.org/W2916079228","https://openalex.org/W2944776897","https://openalex.org/W2963035503","https://openalex.org/W2963360527","https://openalex.org/W2979918265","https://openalex.org/W2996431531","https://openalex.org/W3002189898","https://openalex.org/W3005116230","https://openalex.org/W3006210340","https://openalex.org/W3012170082","https://openalex.org/W3016185400","https://openalex.org/W3099709758","https://openalex.org/W3124287477","https://openalex.org/W3134502172","https://openalex.org/W3153842551","https://openalex.org/W3161104623","https://openalex.org/W3173151636","https://openalex.org/W4206799785","https://openalex.org/W4214717370","https://openalex.org/W4288358096","https://openalex.org/W4292363360","https://openalex.org/W6683195989","https://openalex.org/W6683935339","https://openalex.org/W6692846177","https://openalex.org/W6762264141"],"related_works":["https://openalex.org/W79913212","https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2094884983","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2378898096","https://openalex.org/W2393746923","https://openalex.org/W2972496411"],"abstract_inverted_index":{"The":[0,69],"Network":[1],"Slicing":[2],"(NS)":[3],"paradigm":[4],"enables":[5],"the":[6,35,43,76,115,118,128],"partition":[7],"of":[8,90,106],"physical":[9],"and":[10,109],"virtual":[11],"resources":[12,27,108],"among":[13],"multiple":[14,62],"logical":[15],"networks,":[16],"possibly":[17],"managed":[18],"by":[19,46],"different":[20,125],"tenants.":[21],"In":[22,38],"such":[23],"a":[24,48,58,66,103],"scenario,":[25],"network":[26],"need":[28,129],"to":[29,34,83,124],"be":[30],"dynamically":[31],"allocated":[32],"according":[33],"slice":[36],"requirements.":[37],"this":[39],"paper,":[40],"we":[41,93],"attack":[42],"above":[44],"problem":[45],"exploiting":[47],"Deep":[49],"Reinforcement":[50],"Learning":[51],"approach.":[52],"Our":[53],"framework":[54],"is":[55,72],"based":[56],"on":[57],"distributed":[59],"architecture,":[60],"where":[61],"agents":[63],"cooperate":[64],"towards":[65],"common":[67],"goal.":[68],"agent":[70],"training":[71],"carried":[73],"out":[74],"following":[75],"Advantage":[77],"Actor":[78],"Critic":[79],"algorithm,":[80],"which":[81],"permits":[82],"handle":[84],"continuous":[85],"action":[86],"spaces.":[87],"By":[88],"means":[89],"extensive":[91],"simulations,":[92],"show":[94],"that":[95],"our":[96],"approach":[97],"yields":[98],"better":[99],"performance":[100],"than":[101],"both":[102],"static":[104],"allocation":[105],"system":[107,120],"an":[110],"efficient":[111],"empirical":[112],"strategy.":[113],"At":[114],"same":[116],"time,":[117],"proposed":[119],"ensures":[121],"high":[122],"adaptability":[123],"scenarios":[126],"without":[127],"for":[130],"additional":[131],"training.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
