{"id":"https://openalex.org/W4398226337","doi":"https://doi.org/10.1109/tmc.2024.3404125","title":"Federated Deep Reinforcement Learning for Prediction-Based Network Slice Mobility in 6G Mobile Networks","display_name":"Federated Deep Reinforcement Learning for Prediction-Based Network Slice Mobility in 6G Mobile Networks","publication_year":2024,"publication_date":"2024-05-22","ids":{"openalex":"https://openalex.org/W4398226337","doi":"https://doi.org/10.1109/tmc.2024.3404125"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2024.3404125","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3404125","pdf_url":"https://ieeexplore.ieee.org/ielx7/7755/4358975/10536643.pdf","source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/7755/4358975/10536643.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074591231","display_name":"Zhao Ming","orcid":"https://orcid.org/0000-0002-4522-8901"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Zhao Ming","raw_affiliation_strings":["Centre for Wireless Communications (CWC), University of Oulu, Oulu, Finland"],"raw_orcid":"https://orcid.org/0000-0002-4522-8901","affiliations":[{"raw_affiliation_string":"Centre for Wireless Communications (CWC), University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049474726","display_name":"Hao Yu","orcid":"https://orcid.org/0000-0003-3522-3426"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Yu","raw_affiliation_strings":["ICTFicial Oy, Espoo, Finland"],"raw_orcid":"https://orcid.org/0000-0003-3522-3426","affiliations":[{"raw_affiliation_string":"ICTFicial Oy, Espoo, Finland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087043869","display_name":"Tarik Taleb","orcid":"https://orcid.org/0000-0003-1119-1239"},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tarik Taleb","raw_affiliation_strings":["Ruhr University Bochum, Bochum, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1119-1239","affiliations":[{"raw_affiliation_string":"Ruhr University Bochum, Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.7116,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.96682485,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"23","issue":"12","first_page":"11937","last_page":"11953"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9836000204086304,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9836000204086304,"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/T11932","display_name":"Wireless Body Area Networks","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.9663000106811523,"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":0.8460716605186462},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.664196252822876},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.5283123850822449},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42707371711730957},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4199276268482208},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3701944947242737}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8460716605186462},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.664196252822876},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.5283123850822449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42707371711730957},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4199276268482208},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3701944947242737}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmc.2024.3404125","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3404125","pdf_url":"https://ieeexplore.ieee.org/ielx7/7755/4358975/10536643.pdf","source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:17573906","is_oa":true,"landing_page_url":"https://doi.org/10.1109/TMC.2024.3404125","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/tmc.2024.3404125","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3404125","pdf_url":"https://ieeexplore.ieee.org/ielx7/7755/4358975/10536643.pdf","source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4398226337.pdf"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1570517777","https://openalex.org/W2132022337","https://openalex.org/W2293634267","https://openalex.org/W2605571852","https://openalex.org/W2889656758","https://openalex.org/W2912290085","https://openalex.org/W2913775178","https://openalex.org/W2940420099","https://openalex.org/W2944851425","https://openalex.org/W2952292163","https://openalex.org/W2978352298","https://openalex.org/W2992832152","https://openalex.org/W3004007963","https://openalex.org/W3016207298","https://openalex.org/W3018330169","https://openalex.org/W3022825043","https://openalex.org/W3023368586","https://openalex.org/W3035186150","https://openalex.org/W3044152619","https://openalex.org/W3083898850","https://openalex.org/W3091795982","https://openalex.org/W3093943958","https://openalex.org/W3121045039","https://openalex.org/W3164212921","https://openalex.org/W3164518262","https://openalex.org/W3173421977","https://openalex.org/W3176364684","https://openalex.org/W3177086842","https://openalex.org/W3186660502","https://openalex.org/W3192409251","https://openalex.org/W3206494224","https://openalex.org/W3210209302","https://openalex.org/W3213680860","https://openalex.org/W3217307385","https://openalex.org/W4206044098","https://openalex.org/W4206745731","https://openalex.org/W4210737419","https://openalex.org/W4213448838","https://openalex.org/W4221146354","https://openalex.org/W4225662012","https://openalex.org/W4225824222","https://openalex.org/W4297051846","https://openalex.org/W4302287685","https://openalex.org/W4312712983","https://openalex.org/W4313463089","https://openalex.org/W4319165238","https://openalex.org/W4323914289","https://openalex.org/W4366250573","https://openalex.org/W4386275820","https://openalex.org/W4387872902","https://openalex.org/W6771510254","https://openalex.org/W6776848903","https://openalex.org/W6803741318"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W2024136090","https://openalex.org/W2586732548","https://openalex.org/W3049728571","https://openalex.org/W2964765435","https://openalex.org/W2074254449"],"abstract_inverted_index":{"Network":[0,22],"slices":[1,48,105],"are":[2,154],"generally":[3],"coupled":[4],"with":[5,93,98],"services":[6],"and":[7,17,32,81,108,131,151,184],"face":[8],"service":[9,30,53],"continuity/unavailability":[10],"concerns":[11],"due":[12],"to":[13,49,52,76,115,140],"the":[14,61,70,78,82,110,144,148,169,173],"high":[15],"mobility":[16,24],"dynamic":[18],"requests":[19],"from":[20,35],"users.":[21],"slice":[23],"(NSM),":[25],"which":[26],"considers":[27],"user":[28],"mobility,":[29],"migration,":[31],"resource":[33],"allocation":[34],"a":[36,42,127,135,157],"holistic":[37],"view,":[38],"is":[39,123],"witnessed":[40],"as":[41],"key":[43],"technology":[44],"in":[45,156,177],"enabling":[46],"network":[47,104],"respond":[50],"quickly":[51],"degradation.":[54],"Existing":[55],"studies":[56],"on":[57,162],"NSM":[58,65,79,117,121],"either":[59],"ignored":[60],"trigger":[62],"detection":[63],"before":[64],"decision-making":[66],"or":[67],"didn't":[68],"consider":[69,102],"prediction":[71,111,149],"of":[72,84,112,147],"future":[73],"system":[74,113],"information":[75,114],"improve":[77],"performance,":[80],"training":[83],"deep":[85],"reinforcement":[86],"learning":[87,145,159],"(DRL)":[88],"agents":[89,153],"also":[90],"faces":[91],"challenges":[92],"incomplete":[94],"observations.":[95],"To":[96],"cope":[97],"these":[99],"challenges,":[100],"we":[101,132],"that":[103,168],"migrate":[106],"periodically":[107],"utilize":[109],"assist":[116],"decision-making.":[118],"The":[119],"periodical":[120],"problem":[122],"further":[124],"transformed":[125],"into":[126],"Markov":[128],"decision":[129],"process,":[130],"creatively":[133],"propose":[134],"prediction-based":[136],"federated":[137,158],"DRL":[138,152],"framework":[139],"solve":[141],"it.":[142],"Particularly,":[143],"processes":[146],"model":[150],"performed":[155],"paradigm.":[160],"Based":[161],"extensive":[163],"experiments,":[164],"simulation":[165],"results":[166],"demonstrate":[167],"proposed":[170],"scheme":[171],"outperforms":[172],"considered":[174],"baseline":[175],"schemes":[176],"improving":[178],"long-term":[179],"profit,":[180],"reducing":[181],"communication":[182],"overhead,":[183],"saving":[185],"transmission":[186],"time.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
