{"id":"https://openalex.org/W7163408454","doi":"https://doi.org/10.48550/arxiv.2606.03664","title":"AUGUSTE: Online-Learning dApp for Predictive URLLC Scheduling","display_name":"AUGUSTE: Online-Learning dApp for Predictive URLLC Scheduling","publication_year":2026,"publication_date":"2026-06-02","ids":{"openalex":"https://openalex.org/W7163408454","doi":"https://doi.org/10.48550/arxiv.2606.03664"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.03664","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.03664","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.03664","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012710766","display_name":"Maxime Elkael","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elkael, Maxime","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137780013","display_name":"Michele Polese","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Polese, Michele","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137732048","display_name":"Yunseong Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Yunseong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137753081","display_name":"Koichiro Furueda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Furueda, Koichiro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5054337759","display_name":"Tommaso Melodia","orcid":"https://orcid.org/0000-0002-2719-1789"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Melodia, Tommaso","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.20749999582767487,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.20749999582767487,"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/T12079","display_name":"IoT Networks and Protocols","score":0.11890000104904175,"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/T13553","display_name":"Age of Information Optimization","score":0.11550000309944153,"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/telecommunications-link","display_name":"Telecommunications link","score":0.685699999332428},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6779999732971191},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.5809000134468079},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5662000179290771},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5116999745368958},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5033000111579895},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.3610999882221222},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.3368000090122223}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7225000262260437},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.685699999332428},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6779999732971191},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.5809000134468079},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5662000179290771},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5267000198364258},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5116999745368958},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5033000111579895},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4950999915599823},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.3610999882221222},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3416999876499176},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.3368000090122223},{"id":"https://openalex.org/C163099246","wikidata":"https://www.wikidata.org/wiki/Q1978975","display_name":"Network scheduler","level":5,"score":0.3158999979496002},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.30329999327659607},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C204673680","wikidata":"https://www.wikidata.org/wiki/Q1628107","display_name":"Airfield traffic pattern","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C3017552255","wikidata":"https://www.wikidata.org/wiki/Q4135208","display_name":"Arrival time","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2533999979496002},{"id":"https://openalex.org/C2781327853","wikidata":"https://www.wikidata.org/wiki/Q3552547","display_name":"User equipment","level":3,"score":0.2524000108242035},{"id":"https://openalex.org/C122141398","wikidata":"https://www.wikidata.org/wiki/Q5456330","display_name":"Fixed-priority pre-emptive scheduling","level":5,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.03664","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.03664","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.03664","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.03664","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.49873796105384827,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Ultra":[0],"Reliable":[1],"and":[2,33,91,135,158,193,197],"Low":[3],"Latency":[4],"Communications":[5],"(URLLC)":[6],"was":[7],"one":[8],"of":[9,59],"the":[10,53,60,128,164,203,208,224],"main":[11],"motivations":[12],"behind":[13],"5G,":[14],"with":[15],"3GPP":[16],"advertising":[17],"1-10":[18],"ms":[19,55,226],"latency":[20],"targets":[21],"for":[22,87,106],"applications":[23],"such":[24],"as":[25],"industrial":[26],"automation,":[27],"Vehicle-To-Everything":[28],"(V2X),":[29],"tactical":[30],"edge":[31,191],"networking,":[32],"unmanned-system":[34],"control.":[35],"Years":[36],"on,":[37],"real":[38,179],"5G":[39,180],"Time":[40,218],"Division":[41],"Duplexing":[42],"(TDD)":[43],"networks":[44],"still":[45],"show":[46,198],"median":[47,215],"Uplink":[48,104],"(UL)":[49],"round-trip":[50],"times":[51],"in":[52,127],"50-70":[54],"range,":[56],"largely":[57],"because":[58],"Scheduling":[61],"Request":[62],"(SR)":[63],"procedure":[64],"that":[65,120,153,162,199],"a":[66,112,150,159,178],"User":[67],"Equipment":[68],"(UE)":[69],"must":[70],"complete":[71],"before":[72,139],"transmitting":[73],"UL":[74,129],"data.":[75],"Existing":[76],"remedies,":[77],"primarily":[78],"Configured":[79],"Grant":[80],"(CG)":[81],"scheduling,":[82],"only":[83,169],"eliminate":[84],"this":[85],"overhead":[86],"strictly":[88],"periodic":[89,194],"traffic":[90,171,187],"require":[92],"cross-layer":[93],"synchronization,":[94],"which":[95],"has":[96],"limited":[97],"their":[98],"adoption.":[99],"We":[100,174],"propose":[101],"AUGUSTE":[102,176],"(Anticipatory":[103],"Grants":[105],"URLLC":[107,186],"via":[108],"Self-Adapting":[109],"Temporal":[110],"Estimation),":[111],"learning-based":[113],"Medium":[114],"Access":[115],"Control":[116],"(MAC)":[117],"scheduling":[118],"framework":[119],"embeds":[121],"online":[122],"Machine":[123],"Learning":[124],"(ML)":[125],"models":[126],"scheduler":[130],"to":[131,167],"predict":[132],"packet":[133],"arrivals":[134],"proactively":[136],"allocate":[137],"resources":[138],"an":[140],"SR":[141],"is":[142,172],"issued.":[143],"An":[144],"adaptive":[145],"state":[146],"machine":[147],"alternates":[148],"between":[149],"learning":[151],"phase":[152,161],"collects":[154],"unbiased":[155],"arrival":[156],"statistics":[157],"confident":[160],"exploits":[163],"learned":[165],"predictions":[166],"schedule":[168],"when":[170],"expected.":[173],"evaluate":[175],"on":[177,207],"testbed":[181],"running":[182],"OpenAirInterface":[183],"across":[184],"three":[185],"patterns":[188],"(request-response,":[189],"ML":[190],"inference,":[192],"autonomous":[195],"reporting),":[196],"it":[200,211],"operates":[201],"at":[202,229],"best":[204],"achievable":[205],"point":[206],"latency-overhead":[209],"trade-off:":[210],"matches":[212],"always-on":[213],"scheduling's":[214],"Round":[216],"Trip":[217],"(RTT)":[219],"(around":[220],"10":[221],"ms,":[222],"halving":[223],"20":[225],"SR-based":[227],"baseline)":[228],"roughly":[230],"one-tenth":[231],"its":[232],"resource":[233],"cost":[234],"(7-10":[235],"percent":[236],"overhead).":[237]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-04T00:00:00"}
