{"id":"https://openalex.org/W4385805199","doi":"https://doi.org/10.1109/vtc2023-spring57618.2023.10199857","title":"Safe and Fast Reinforcement Learning for Network Slicing Resource Allocation","display_name":"Safe and Fast Reinforcement Learning for Network Slicing Resource Allocation","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4385805199","doi":"https://doi.org/10.1109/vtc2023-spring57618.2023.10199857"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2023-spring57618.2023.10199857","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vtc2023-spring57618.2023.10199857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5070693243","display_name":"Antonio Massaro","orcid":"https://orcid.org/0000-0003-2002-8687"},"institutions":[{"id":"https://openalex.org/I4210149358","display_name":"Nokia (France)","ror":"https://ror.org/04kwfkk85","country_code":"FR","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210149358"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Antonio Massaro","raw_affiliation_strings":["Nokia Bell Labs,Paris,France","Nokia Bell Labs, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs,Paris,France","institution_ids":["https://openalex.org/I4210149358"]},{"raw_affiliation_string":"Nokia Bell Labs, Paris, France","institution_ids":["https://openalex.org/I4210149358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058831641","display_name":"Dan Wellington","orcid":null},"institutions":[{"id":"https://openalex.org/I72090969","display_name":"Nokia (United States)","ror":"https://ror.org/038km2573","country_code":"US","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I72090969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Wellington","raw_affiliation_strings":["Nokia Bell Labs,USA","Nokia Bell Labs, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs,USA","institution_ids":["https://openalex.org/I72090969"]},{"raw_affiliation_string":"Nokia Bell Labs, USA","institution_ids":["https://openalex.org/I72090969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078326709","display_name":"Armen Aghasaryan","orcid":"https://orcid.org/0009-0009-3284-1027"},"institutions":[{"id":"https://openalex.org/I4210149358","display_name":"Nokia (France)","ror":"https://ror.org/04kwfkk85","country_code":"FR","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210149358"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Armen Aghasaryan","raw_affiliation_strings":["Nokia Bell Labs,Paris,France","Nokia Bell Labs, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs,Paris,France","institution_ids":["https://openalex.org/I4210149358"]},{"raw_affiliation_string":"Nokia Bell Labs, Paris, France","institution_ids":["https://openalex.org/I4210149358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031612328","display_name":"Robert Seidl","orcid":"https://orcid.org/0000-0001-8518-8433"},"institutions":[{"id":"https://openalex.org/I4210159457","display_name":"Nokia (Germany)","ror":"https://ror.org/05nh5td39","country_code":"DE","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210159457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robert Seidl","raw_affiliation_strings":["Nokia Bell Labs,Munich,Germany","Nokia Bell Labs, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs,Munich,Germany","institution_ids":["https://openalex.org/I4210159457"]},{"raw_affiliation_string":"Nokia Bell Labs, Munich, Germany","institution_ids":["https://openalex.org/I4210159457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052926849","display_name":"Muhammad Naseer\u2010ul\u2010Islam","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159457","display_name":"Nokia (Germany)","ror":"https://ror.org/05nh5td39","country_code":"DE","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210159457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Muhammad Naseer-Ul-Islam","raw_affiliation_strings":["Nokia Bell Labs,Munich,Germany","Nokia Bell Labs, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs,Munich,Germany","institution_ids":["https://openalex.org/I4210159457"]},{"raw_affiliation_string":"Nokia Bell Labs, Munich, Germany","institution_ids":["https://openalex.org/I4210159457"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041001694","display_name":"Oemer Bulakci","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159457","display_name":"Nokia (Germany)","ror":"https://ror.org/05nh5td39","country_code":"DE","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210159457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oemer Bulakci","raw_affiliation_strings":["Nokia Bell Labs,Munich,Germany","Nokia Bell Labs, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs,Munich,Germany","institution_ids":["https://openalex.org/I4210159457"]},{"raw_affiliation_string":"Nokia Bell Labs, Munich, Germany","institution_ids":["https://openalex.org/I4210159457"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9998000264167786,"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":0.9998000264167786,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9775999784469604,"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"}},{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9728000164031982,"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/computer-science","display_name":"Computer science","score":0.8715070486068726},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.813268780708313},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6792007088661194},{"id":"https://openalex.org/keywords/slicing","display_name":"Slicing","score":0.6423139572143555},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6082853078842163},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.549971342086792},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5002899169921875},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4917040467262268},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4826817810535431},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4746994376182556},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.4533386528491974},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.44368869066238403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32779017090797424},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.31039831042289734},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10309547185897827}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8715070486068726},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.813268780708313},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6792007088661194},{"id":"https://openalex.org/C2776190703","wikidata":"https://www.wikidata.org/wiki/Q488148","display_name":"Slicing","level":2,"score":0.6423139572143555},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6082853078842163},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.549971342086792},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5002899169921875},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4917040467262268},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4826817810535431},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4746994376182556},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.4533386528491974},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.44368869066238403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32779017090797424},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.31039831042289734},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10309547185897827},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2023-spring57618.2023.10199857","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vtc2023-spring57618.2023.10199857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2487670340","https://openalex.org/W2787938642","https://openalex.org/W2912263474","https://openalex.org/W2922164811","https://openalex.org/W2968782695","https://openalex.org/W3003791435","https://openalex.org/W3010301175","https://openalex.org/W3110506085","https://openalex.org/W3123346421","https://openalex.org/W3125424609","https://openalex.org/W3161895447","https://openalex.org/W4210605591","https://openalex.org/W4221152072","https://openalex.org/W4285243919","https://openalex.org/W4302570325","https://openalex.org/W6684205842","https://openalex.org/W6748839928"],"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":{"Network":[0],"slicing":[1,32],"enables":[2],"operators":[3],"to":[4,55,69,82],"virtually":[5],"partition":[6],"network":[7,31,43],"resources":[8],"and":[9,40,74,91,104,124,131,145],"instantiate":[10],"different":[11],"virtual":[12],"networks,":[13],"supporting":[14],"flexible":[15],"quality":[16],"of":[17,22,42,47,102,108,120,141,143],"service,":[18],"in":[19,99,105,139],"the":[20,38,57,67,70,80,100,106,118,121],"form":[21],"service":[23],"level":[24],"agreements":[25],"(SLAs).":[26],"Optimizing":[27],"resource":[28],"allocation":[29],"for":[30],"is":[33,96],"a":[34,62,114],"complex":[35],"task,":[36],"given":[37],"dynamicity":[39],"randomness":[41],"conditions.":[44],"Leveraging":[45],"principles":[46],"reinforcement":[48,137],"learning,":[49,138],"we":[50,85],"propose":[51],"an":[52],"algorithmic":[53],"solution":[54,95,123],"optimize":[56],"SLA":[58,146],"success":[59,147],"rate":[60],"across":[61],"radio":[63],"access":[64],"network.":[65],"Tailoring":[66],"algorithm":[68],"problem":[71],"at":[72],"hand,":[73],"leveraging":[75],"some":[76],"prior":[77],"knowledge":[78],"on":[79,113,135],"system":[81],"be":[83],"optimized,":[84],"ensure":[86],"fast":[87],"convergence,":[88],"data":[89],"efficiency,":[90],"safe":[92],"exploration.":[93],"The":[94],"scalable":[97],"both":[98,128],"number":[101,107],"cells":[103],"slices.":[109],"Extensive":[110],"numerical":[111],"evaluations":[112],"simulated":[115],"environment":[116],"show":[117],"effectiveness":[119],"proposed":[122],"its":[125],"advantages":[126],"versus":[127],"simple":[129],"baselines":[130],"sophisticated":[132],"solutions":[133],"based":[134],"deep":[136],"terms":[140],"speed":[142],"convergence":[144],"rate.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
