{"id":"https://openalex.org/W4389104731","doi":"https://doi.org/10.1109/jsac.2023.3336191","title":"Safe and Accelerated Deep Reinforcement Learning-Based O-RAN Slicing: A Hybrid Transfer Learning Approach","display_name":"Safe and Accelerated Deep Reinforcement Learning-Based O-RAN Slicing: A Hybrid Transfer Learning Approach","publication_year":2023,"publication_date":"2023-11-28","ids":{"openalex":"https://openalex.org/W4389104731","doi":"https://doi.org/10.1109/jsac.2023.3336191"},"language":"en","primary_location":{"id":"doi:10.1109/jsac.2023.3336191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2023.3336191","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"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 Journal on Selected Areas in Communications","raw_type":"journal-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/A5072198645","display_name":"Ahmad M. Nagib","orcid":null},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]},{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA","EG"],"is_corresponding":true,"raw_author_name":"Ahmad M. Nagib","raw_affiliation_strings":["School of Computing, Queen’s University, Kingston, Canada","Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt"],"affiliations":[{"raw_affiliation_string":"School of Computing, Queen’s University, Kingston, Canada","institution_ids":["https://openalex.org/I204722609"]},{"raw_affiliation_string":"Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027792197","display_name":"Hatem Abou-Zeid","orcid":"https://orcid.org/0000-0003-4720-5794"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hatem Abou-Zeid","raw_affiliation_strings":["Department of Electrical and Software Engineering, University of Calgary, Calgary, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Software Engineering, University of Calgary, Calgary, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021196543","display_name":"Hossam S. Hassanein","orcid":"https://orcid.org/0000-0003-0260-8979"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hossam S. Hassanein","raw_affiliation_strings":["School of Computing, Queen’s University, Kingston, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computing, Queen’s University, Kingston, Canada","institution_ids":["https://openalex.org/I204722609"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072198645"],"corresponding_institution_ids":["https://openalex.org/I145487455","https://openalex.org/I204722609"],"apc_list":null,"apc_paid":null,"fwci":3.8154,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.94157727,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"42","issue":"2","first_page":"310","last_page":"325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9951000213623047,"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"}},"topics":[{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9951000213623047,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9945999979972839,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9886000156402588,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8833707571029663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8356425166130066},{"id":"https://openalex.org/keywords/radio-access-network","display_name":"Radio access network","score":0.6682085990905762},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6394320130348206},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6103056073188782},{"id":"https://openalex.org/keywords/ran","display_name":"Ran","score":0.6010372638702393},{"id":"https://openalex.org/keywords/slicing","display_name":"Slicing","score":0.5851701498031616},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.5056028366088867},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4302852749824524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38988927006721497},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35830920934677124},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.33956533670425415},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.17691433429718018},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08964020013809204}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8833707571029663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8356425166130066},{"id":"https://openalex.org/C106365562","wikidata":"https://www.wikidata.org/wiki/Q3078360","display_name":"Radio access network","level":4,"score":0.6682085990905762},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6394320130348206},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6103056073188782},{"id":"https://openalex.org/C160704184","wikidata":"https://www.wikidata.org/wiki/Q18031028","display_name":"Ran","level":2,"score":0.6010372638702393},{"id":"https://openalex.org/C2776190703","wikidata":"https://www.wikidata.org/wiki/Q488148","display_name":"Slicing","level":2,"score":0.5851701498031616},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.5056028366088867},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4302852749824524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38988927006721497},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35830920934677124},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.33956533670425415},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.17691433429718018},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08964020013809204},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C207029474","wikidata":"https://www.wikidata.org/wiki/Q384018","display_name":"Mobile station","level":3,"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/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsac.2023.3336191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2023.3336191","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"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 Journal on Selected Areas in Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G2225718933","display_name":null,"funder_award_id":"RGPIN-2021-04050","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G7398610606","display_name":null,"funder_award_id":"RGPIN-2019-05667","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W1845972764","https://openalex.org/W2605289347","https://openalex.org/W2736601468","https://openalex.org/W2748182655","https://openalex.org/W2891171329","https://openalex.org/W2891599129","https://openalex.org/W2900804979","https://openalex.org/W3016146955","https://openalex.org/W3093951152","https://openalex.org/W3112469981","https://openalex.org/W3133735442","https://openalex.org/W3148574422","https://openalex.org/W3158459370","https://openalex.org/W3197830211","https://openalex.org/W3207047766","https://openalex.org/W3217596786","https://openalex.org/W4210470894","https://openalex.org/W4280514381","https://openalex.org/W4285160334","https://openalex.org/W4285243919","https://openalex.org/W4287887122","https://openalex.org/W4297310171","https://openalex.org/W4306763820","https://openalex.org/W4310264538","https://openalex.org/W4312594094","https://openalex.org/W4312745481","https://openalex.org/W4315629987","https://openalex.org/W4315777437","https://openalex.org/W4327785466","https://openalex.org/W4328053906","https://openalex.org/W4383112908","https://openalex.org/W4392159079","https://openalex.org/W6718190810","https://openalex.org/W6732837357","https://openalex.org/W6741002519","https://openalex.org/W6843270763","https://openalex.org/W6856930621"],"related_works":["https://openalex.org/W3018338683","https://openalex.org/W3037103914","https://openalex.org/W4315630224","https://openalex.org/W4381187802","https://openalex.org/W4294306393","https://openalex.org/W2618068568","https://openalex.org/W4386533748","https://openalex.org/W4311923021","https://openalex.org/W2922954044","https://openalex.org/W4221148057"],"abstract_inverted_index":{"The":[0,203],"open":[1],"radio":[2,25,53],"access":[3,26],"network":[4,9,27,74,100],"(O-RAN)":[5],"architecture":[6],"supports":[7],"intelligent":[8,32],"control":[10,128],"algorithms":[11,22,39,71],"as":[12,114,199],"one":[13],"of":[14,69,118,129,147,183,223],"its":[15],"core":[16,116],"capabilities.":[17],"Data-driven":[18],"applications":[19],"incorporate":[20],"such":[21],"to":[23,50,82,155,179],"optimize":[24],"(RAN)":[28],"functions":[29],"via":[30],"RAN":[31],"controllers":[33],"(RICs).":[34],"Deep":[35],"reinforcement":[36],"learning":[37,112],"(DRL)":[38],"are":[40],"among":[41],"the":[42,47,59,63,66,83,119,125,145,215,221,239,243],"main":[43],"approaches":[44],"adopted":[45],"in":[46,72,161,214,230],"O-RAN":[48,64,130,163,184],"literature":[49],"solve":[51],"dynamic":[52],"resource":[54],"management":[55],"problems.":[56],"However,":[57],"despite":[58],"benefits":[60],"introduced":[61],"by":[62,90,109],"RICs,":[65],"practical":[67,181],"adoption":[68],"DRL":[70,91,195,198],"real":[73,175],"deployments":[75],"falls":[76],"behind.":[77],"This":[78],"is":[79],"primarily":[80],"due":[81],"slow":[84],"convergence":[85,160,236],"and":[86,95,121,137,151,158,189,193,196,211,220,226,237],"unstable":[87],"performance":[88],"exhibited":[89],"agents":[92],"upon":[93],"deployment":[94,122],"when":[96],"encountering":[97],"previously":[98],"unseen":[99],"conditions.":[101],"In":[102],"this":[103,133],"paper,":[104],"we":[105,135],"address":[106],"these":[107],"challenges":[108],"proposing":[110],"transfer":[111],"(TL)":[113],"a":[115,139,167,227],"component":[117],"training":[120],"workflows":[123],"for":[124],"DRL-based":[126,162],"closed-loop":[127],"functionalities.":[131],"To":[132],"end,":[134],"propose":[136,188],"design":[138],"hybrid":[140,205],"TL-aided":[141],"approach":[142,206],"that":[143,170],"leverages":[144],"advantages":[146],"both":[148],"policy":[149,191],"reuse":[150,192],"distillation":[152],"TL":[153],"methods":[154],"provide":[156],"safe":[157],"accelerated":[159],"slicing.":[164,185],"We":[165,186],"conduct":[166],"thorough":[168],"experiment":[169],"accommodates":[171],"multiple":[172],"services,":[173],"including":[174],"VR":[176],"gaming":[177],"traffic":[178],"reflect":[180],"scenarios":[182],"also":[187],"implement":[190],"distillation-aided":[194],"non-TL-aided":[197],"three":[200],"separate":[201],"baselines.":[202,244],"proposed":[204],"shows":[207],"at":[208],"least:":[209],"7.7%":[210],"20.7%":[212],"improvements":[213],"average":[216],"initial":[217],"reward":[218,231],"value":[219],"percentage":[222],"converged":[224],"scenarios,":[225],"64.6%":[228],"decrease":[229],"variance":[232],"while":[233],"maintaining":[234],"fast":[235],"enhancing":[238],"generalizability":[240],"compared":[241],"with":[242]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":9}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}