{"id":"https://openalex.org/W7156363697","doi":"https://doi.org/10.1109/icin69025.2026.11481808","title":"Adaptive Deep Reinforcement Learning for Scalable Time-Sensitive Networking Scheduling","display_name":"Adaptive Deep Reinforcement Learning for Scalable Time-Sensitive Networking Scheduling","publication_year":2026,"publication_date":"2026-03-30","ids":{"openalex":"https://openalex.org/W7156363697","doi":"https://doi.org/10.1109/icin69025.2026.11481808"},"language":null,"primary_location":{"id":"doi:10.1109/icin69025.2026.11481808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icin69025.2026.11481808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 29th Conference on Innovation in Clouds, Internet and Networks (ICIN)","raw_type":"proceedings-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/A5018696166","display_name":"Hamza Chahed","orcid":null},"institutions":[{"id":"https://openalex.org/I43968019","display_name":"Karlstad University","ror":"https://ror.org/05s754026","country_code":"SE","type":"education","lineage":["https://openalex.org/I43968019"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Hamza Chahed","raw_affiliation_strings":["Karlstad University,Department of Computer Science,Karlstad,Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karlstad University,Department of Computer Science,Karlstad,Sweden","institution_ids":["https://openalex.org/I43968019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134694269","display_name":"Haifa Boubakri","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131646","display_name":"Coxswain Social Investment Plus (Tunisia)","ror":"https://ror.org/0398nv697","country_code":"TN","type":"company","lineage":["https://openalex.org/I4210131646"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Haifa Boubakri","raw_affiliation_strings":["Tunisia Technology Center,Department of AI,Tunis,Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tunisia Technology Center,Department of AI,Tunis,Tunisia","institution_ids":["https://openalex.org/I4210131646"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071429505","display_name":"Andreas Kassler","orcid":"https://orcid.org/0000-0002-9446-8143"},"institutions":[{"id":"https://openalex.org/I43968019","display_name":"Karlstad University","ror":"https://ror.org/05s754026","country_code":"SE","type":"education","lineage":["https://openalex.org/I43968019"]},{"id":"https://openalex.org/I83041830","display_name":"Deggendorf Institute of Technology","ror":"https://ror.org/02kw5st29","country_code":"DE","type":"education","lineage":["https://openalex.org/I83041830"]}],"countries":["DE","SE"],"is_corresponding":false,"raw_author_name":"Andreas Kassler","raw_affiliation_strings":["Deggendorf Institute of Technology, Germany&amp; Karlstad University,Faculty/Department of Computer Science,Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deggendorf Institute of Technology, Germany&amp; Karlstad University,Faculty/Department of Computer Science,Sweden","institution_ids":["https://openalex.org/I83041830","https://openalex.org/I43968019"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018696166"],"corresponding_institution_ids":["https://openalex.org/I43968019"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.77707493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12216","display_name":"Network Time Synchronization Technologies","score":0.7415000200271606,"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/T12216","display_name":"Network Time Synchronization Technologies","score":0.7415000200271606,"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/T13553","display_name":"Age of Information Optimization","score":0.08389999717473984,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.024299999698996544,"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/scheduling","display_name":"Scheduling (production processes)","score":0.6151000261306763},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5954999923706055},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5034999847412109},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.48730000853538513},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4810999929904938}],"concepts":[{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6151000261306763},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5954999923706055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.569599986076355},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5034999847412109},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.48730000853538513},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4810999929904938},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3483999967575073},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3386000096797943},{"id":"https://openalex.org/C110354214","wikidata":"https://www.wikidata.org/wiki/Q6314146","display_name":"Engineering management","level":1,"score":0.29789999127388},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.28110000491142273},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26649999618530273},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.25999999046325684}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icin69025.2026.11481808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icin69025.2026.11481808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 29th Conference on Innovation in Clouds, Internet and Networks (ICIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334661","display_name":"Health Technology Assessment Programme","ror":"https://ror.org/0187kwz08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W4238153536","https://openalex.org/W4280606836","https://openalex.org/W4312425703","https://openalex.org/W4312595482","https://openalex.org/W4385627407","https://openalex.org/W4386243260","https://openalex.org/W4387913919","https://openalex.org/W4395680661","https://openalex.org/W4402124773","https://openalex.org/W4406833323","https://openalex.org/W4407794032","https://openalex.org/W4409284711"],"related_works":[],"abstract_inverted_index":{"Time-Sensitive":[0],"Networking":[1],"(TSN)":[2],"enables":[3],"deterministic,":[4],"low-latency":[5],"communication":[6],"required":[7],"by":[8,77],"modern":[9],"industrial":[10],"control,":[11],"automotive,":[12],"and":[13,31,49,66,85,104,118,125],"cyber-physical":[14],"systems.":[15],"However,":[16],"existing":[17],"TSN":[18,102,158],"schedule":[19],"synthesis":[20],"algorithms\u2014whether":[21],"heuristic":[22],"or":[23],"learning-based\u2014struggle":[24],"to":[25,46,95,120],"scale":[26],"with":[27,81],"increasing":[28],"network":[29,47,68],"size":[30],"traffic":[32,106],"diversity.":[33],"This":[34],"paper":[35],"introduces":[36],"a":[37,59,70,134,152],"deep":[38],"reinforcement":[39],"learning":[40,150],"(DRL)-driven":[41],"scheduling":[42],"framework":[43],"that":[44,109,146],"adapts":[45],"context":[48],"dynamically":[50],"optimizes":[51],"transmission":[52],"sequences.":[53],"We":[54],"combine":[55],"three":[56],"key":[57],"mechanisms:":[58],"context-aware":[60],"state":[61],"encoder":[62],"capturing":[63],"both":[64],"global":[65],"local":[67],"conditions;":[69],"hybrid":[71],"warm-start":[72],"training":[73],"process":[74],"accelerating":[75],"convergence":[76],"blending":[78],"rule-based":[79],"guidance":[80],"progressive":[82],"policy":[83],"autonomy;":[84],"an":[86],"adaptive":[87],"action":[88],"space":[89],"enabling":[90],"online":[91],"reordering":[92],"of":[93],"flows":[94],"prevent":[96],"deadline":[97],"violations.":[98],"Evaluations":[99],"across":[100],"heterogeneous":[101],"topologies":[103],"varying":[105],"loads":[107],"show":[108],"the":[110],"proposed":[111],"method":[112],"achieves":[113],"over":[114],"15%":[115],"higher":[116],"schedulability":[117],"up":[119],"20%":[121],"lower":[122],"link":[123],"reservations":[124],"gate-control":[126],"resource":[127],"usage":[128],"than":[129],"state-of-the-art":[130],"DRL":[131],"baselines,":[132],"maintaining":[133],"success":[135],"rate":[136],"above":[137],"90%":[138],"even":[139],"under":[140],"heavy":[141],"load.":[142],"These":[143],"results":[144],"demonstrate":[145],"context-enriched,":[147],"adaptively":[148],"guided":[149],"is":[151],"promising":[153],"approach":[154],"for":[155],"practical,":[156],"scalable":[157],"deployments.":[159]},"counts_by_year":[],"updated_date":"2026-05-19T06:13:58.757530","created_date":"2026-04-28T00:00:00"}
