{"id":"https://openalex.org/W4281739120","doi":"https://doi.org/10.1109/noms54207.2022.9789903","title":"Multi-Agent Deep Reinforcement Learning for Slicing and Admission Control in 5G C-RAN","display_name":"Multi-Agent Deep Reinforcement Learning for Slicing and Admission Control in 5G C-RAN","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4281739120","doi":"https://doi.org/10.1109/noms54207.2022.9789903"},"language":"en","primary_location":{"id":"doi:10.1109/noms54207.2022.9789903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms54207.2022.9789903","pdf_url":null,"source":{"id":"https://openalex.org/S4363605650","display_name":"NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium","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":"NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium","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/A5013358220","display_name":"Muhammad Sulaiman","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Muhammad Sulaiman","raw_affiliation_strings":["University of Waterloo,David R. Cheriton School of Computer Science,Ontario,Canada","David R. Cheriton School of Computer Science, University of Waterloo, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo,David R. Cheriton School of Computer Science,Ontario,Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"David R. Cheriton School of Computer Science, University of Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076846408","display_name":"Arash Moayyedi","orcid":"https://orcid.org/0000-0002-4535-5281"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Arash Moayyedi","raw_affiliation_strings":["University of Waterloo,David R. Cheriton School of Computer Science,Ontario,Canada","David R. Cheriton School of Computer Science, University of Waterloo, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo,David R. Cheriton School of Computer Science,Ontario,Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"David R. Cheriton School of Computer Science, University of Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039801401","display_name":"Mohammad A. Salahuddin","orcid":"https://orcid.org/0000-0002-5431-3278"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohammad A. Salahuddin","raw_affiliation_strings":["University of Waterloo,David R. Cheriton School of Computer Science,Ontario,Canada","David R. Cheriton School of Computer Science, University of Waterloo, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo,David R. Cheriton School of Computer Science,Ontario,Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"David R. Cheriton School of Computer Science, University of Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038723583","display_name":"Raouf Boutaba","orcid":"https://orcid.org/0000-0001-7936-6862"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Raouf Boutaba","raw_affiliation_strings":["University of Waterloo,David R. Cheriton School of Computer Science,Ontario,Canada","David R. Cheriton School of Computer Science, University of Waterloo, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo,David R. Cheriton School of Computer Science,Ontario,Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"David R. Cheriton School of Computer Science, University of Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065045834","display_name":"Aladdin Saleh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127050","display_name":"Rogers Communications (Canada)","ror":"https://ror.org/032bte841","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210127050"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Aladdin Saleh","raw_affiliation_strings":["Rogers Communications Inc.,Ontario,Canada","Rogers Communications Inc., Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rogers Communications Inc.,Ontario,Canada","institution_ids":["https://openalex.org/I4210127050"]},{"raw_affiliation_string":"Rogers Communications Inc., Ontario, Canada","institution_ids":["https://openalex.org/I4210127050"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9958000183105469,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9950000047683716,"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":0.845460057258606},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.786526620388031},{"id":"https://openalex.org/keywords/slicing","display_name":"Slicing","score":0.6616991758346558},{"id":"https://openalex.org/keywords/radio-access-network","display_name":"Radio access network","score":0.6274033784866333},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5627944469451904},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5525906085968018},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5207726359367371},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4361822307109833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2807702422142029},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.21825629472732544}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.845460057258606},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.786526620388031},{"id":"https://openalex.org/C2776190703","wikidata":"https://www.wikidata.org/wiki/Q488148","display_name":"Slicing","level":2,"score":0.6616991758346558},{"id":"https://openalex.org/C106365562","wikidata":"https://www.wikidata.org/wiki/Q3078360","display_name":"Radio access network","level":4,"score":0.6274033784866333},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5627944469451904},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5525906085968018},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5207726359367371},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4361822307109833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2807702422142029},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.21825629472732544},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C207029474","wikidata":"https://www.wikidata.org/wiki/Q384018","display_name":"Mobile station","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/noms54207.2022.9789903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms54207.2022.9789903","pdf_url":null,"source":{"id":"https://openalex.org/S4363605650","display_name":"NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium","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":"NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2020169698","https://openalex.org/W2061023771","https://openalex.org/W2091929866","https://openalex.org/W2132646499","https://openalex.org/W2145339207","https://openalex.org/W2736601468","https://openalex.org/W2783034914","https://openalex.org/W2792819087","https://openalex.org/W2809684781","https://openalex.org/W2811374584","https://openalex.org/W2883265831","https://openalex.org/W2892060892","https://openalex.org/W2895059999","https://openalex.org/W2916079228","https://openalex.org/W2949029701","https://openalex.org/W2951469844","https://openalex.org/W2983412292","https://openalex.org/W2996431531","https://openalex.org/W3005864488","https://openalex.org/W3009552355","https://openalex.org/W3033837098","https://openalex.org/W3112342143","https://openalex.org/W3122487705","https://openalex.org/W3167615896","https://openalex.org/W3179635614","https://openalex.org/W3183970904","https://openalex.org/W3194458609","https://openalex.org/W4295312788","https://openalex.org/W6741002519","https://openalex.org/W6747281258","https://openalex.org/W6752963931","https://openalex.org/W6753505025","https://openalex.org/W6766978945","https://openalex.org/W6780559895"],"related_works":["https://openalex.org/W2393746923","https://openalex.org/W2972496411","https://openalex.org/W4239223006","https://openalex.org/W3033662781","https://openalex.org/W2137530048","https://openalex.org/W2360869927","https://openalex.org/W2050876785","https://openalex.org/W3205936112","https://openalex.org/W2981227129","https://openalex.org/W3024206064"],"abstract_inverted_index":{"5G":[0],"Cloud":[1],"Radio":[2],"Access":[3],"Networks":[4],"(C-RANs)":[5],"facilitate":[6],"new":[7],"forms":[8],"of":[9,89,126,208,214],"flexible":[10],"resource":[11,35,43],"management":[12],"as":[13],"dynamic":[14],"RAN":[15,21],"function":[16],"splitting":[17],"and":[18,37,61,92,129,150,170,182],"placement.":[19],"Virtualized":[20],"functions":[22],"can":[23,122],"be":[24,115],"placed":[25],"at":[26],"different":[27],"sites":[28],"in":[29,45,57,66,173,212],"the":[30,46,49,87,124,148,163,200,206,209],"substrate":[31,47],"network":[32,55,90],"according":[33],"to":[34,41,68,77,84,107,114,139,146,153,168,179,193,217,219],"availability":[36,44],"slice":[38,93],"constraints.":[39],"Due":[40],"limited":[42],"network,":[48],"Infrastructure":[50],"Provider":[51],"(InP)":[52],"must":[53],"perform":[54],"slicing":[56,91,156],"a":[58,100,194],"strategic":[59],"manner,":[60],"accept":[62],"or":[63,157],"reject":[64],"slice-requests":[65],"order":[67],"maximize":[69],"long-term":[70,174],"revenue.":[71],"In":[72],"this":[73],"paper,":[74],"we":[75,186,204],"propose":[76],"use":[78],"multi-agent":[79,137,189],"Deep":[80],"Reinforcement":[81],"Learning":[82],"(DRL)":[83],"jointly":[85],"solve":[86],"problems":[88,108,201],"Admission":[94],"Control":[95],"(AC).":[96],"Multi-agent":[97],"DRL":[98,120,138,152,190,196],"is":[99,105,191],"promising":[101],"choice":[102],"since":[103],"it":[104],"well-suited":[106],"where":[109],"multiple":[110],"distinct":[111],"tasks":[112],"have":[113],"performed":[116],"optimally.":[117],"The":[118],"proposed":[119,164],"approach":[121,165,197],"learn":[123],"dynamics":[125],"slice-request":[127],"traffic":[128],"effectively":[130],"address":[131,147,154],"these":[132],"joint":[133],"problems.":[134],"We":[135],"compare":[136],"approaches":[140,180],"that":[141,162,188,198,221],"use:":[142],"(i)":[143,181],"simple":[144],"heuristics":[145],"problems,":[149],"(ii)":[151],"either":[155],"AC.":[158],"Our":[159],"results":[160],"show":[161,187],"achieves":[166],"up":[167],"18%":[169],"3.8%":[171],"gain":[172],"InP":[175],"revenue":[176],"when":[177],"compared":[178],"(ii),":[183],"respectively.":[184],"Additionally,":[185],"preferable":[192],"single-agent":[195],"addresses":[199],"jointly.":[202],"Finally,":[203],"evaluate":[205],"robustness":[207],"trained":[210],"model":[211],"terms":[213],"its":[215],"ability":[216],"generalize":[218],"scenarios":[220],"deviate":[222],"from":[223],"training.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
