{"id":"https://openalex.org/W4210617410","doi":"https://doi.org/10.1109/globecom46510.2021.9685561","title":"Deep Reinforcement Learning for Scheduling Uplink IoT Traffic with Strict Deadlines","display_name":"Deep Reinforcement Learning for Scheduling Uplink IoT Traffic with Strict Deadlines","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4210617410","doi":"https://doi.org/10.1109/globecom46510.2021.9685561"},"language":"en","primary_location":{"id":"doi:10.1109/globecom46510.2021.9685561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685561","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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":"2021 IEEE Global Communications Conference (GLOBECOM)","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/A5025769337","display_name":"Beno\u00eet-Marie Robaglia","orcid":"https://orcid.org/0000-0002-7006-8647"},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]},{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Benoit-Marie Robaglia","raw_affiliation_strings":["Paris Research Center, Huawei Technologies Co. Ltd.,Mathematical and Algorithmic Sciences Lab","Mathematical and Algorithmic Science Lab, France Research Center, Huawei Technologies (France)","IP Paris - Institut Polytechnique de Paris (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris Research Center, Huawei Technologies Co. Ltd.,Mathematical and Algorithmic Sciences Lab","institution_ids":["https://openalex.org/I4210123571"]},{"raw_affiliation_string":"Mathematical and Algorithmic Science Lab, France Research Center, Huawei Technologies (France)","institution_ids":["https://openalex.org/I4210123571"]},{"raw_affiliation_string":"IP Paris - Institut Polytechnique de Paris (France)","institution_ids":["https://openalex.org/I4210145102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062222447","display_name":"Apostolos Destounis","orcid":"https://orcid.org/0000-0003-0420-3430"},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Apostolos Destounis","raw_affiliation_strings":["Paris Research Center, Huawei Technologies Co. Ltd.,Mathematical and Algorithmic Sciences Lab","Mathematical and Algorithmic Science Lab, France Research Center, Huawei Technologies (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris Research Center, Huawei Technologies Co. Ltd.,Mathematical and Algorithmic Sciences Lab","institution_ids":["https://openalex.org/I4210123571"]},{"raw_affiliation_string":"Mathematical and Algorithmic Science Lab, France Research Center, Huawei Technologies (France)","institution_ids":["https://openalex.org/I4210123571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046008934","display_name":"Marceau Coupechoux","orcid":"https://orcid.org/0000-0003-0744-319X"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marceau Coupechoux","raw_affiliation_strings":["LTCI, Telecom Paris, Institut Polytechnique de Paris","LINCS - Laboratory of Information, Network and Communication Sciences (23 avenue d'Italie 75013 Paris - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LTCI, Telecom Paris, Institut Polytechnique de Paris","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I4210165912"]},{"raw_affiliation_string":"LINCS - Laboratory of Information, Network and Communication Sciences (23 avenue d'Italie 75013 Paris - France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031923941","display_name":"Dimitrios Tsilimantos","orcid":"https://orcid.org/0000-0002-1154-499X"},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Dimitrios Tsilimantos","raw_affiliation_strings":["Paris Research Center, Huawei Technologies Co. Ltd.,Mathematical and Algorithmic Sciences Lab","Mathematical and Algorithmic Science Lab, France Research Center, Huawei Technologies (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris Research Center, Huawei Technologies Co. Ltd.,Mathematical and Algorithmic Sciences Lab","institution_ids":["https://openalex.org/I4210123571"]},{"raw_affiliation_string":"Mathematical and Algorithmic Science Lab, France Research Center, Huawei Technologies (France)","institution_ids":["https://openalex.org/I4210123571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.9987999796867371,"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/T13553","display_name":"Age of Information Optimization","score":0.9987999796867371,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9987000226974487,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9983999729156494,"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":0.816067099571228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7367525100708008},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.6729987859725952},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6429826021194458},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5738764405250549},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4514245092868805},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.43688973784446716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29406827688217163},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.17189353704452515},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1256609857082367}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.816067099571228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7367525100708008},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.6729987859725952},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6429826021194458},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5738764405250549},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4514245092868805},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.43688973784446716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29406827688217163},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.17189353704452515},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1256609857082367},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/globecom46510.2021.9685561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685561","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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":"2021 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03566861v1","is_oa":false,"landing_page_url":"https://telecom-paris.hal.science/hal-03566861","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"GLOBECOM 2021 - 2021 IEEE Global Communications Conference, Dec 2021, Madrid, France. pp.1-6, &#x27E8;10.1109/GLOBECOM46510.2021.9685561&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W152613852","https://openalex.org/W1191599655","https://openalex.org/W1771410628","https://openalex.org/W1906224694","https://openalex.org/W1988969816","https://openalex.org/W2000568427","https://openalex.org/W2064675550","https://openalex.org/W2111619626","https://openalex.org/W2121092017","https://openalex.org/W2125930537","https://openalex.org/W2137456672","https://openalex.org/W2145339207","https://openalex.org/W2162598825","https://openalex.org/W2736601468","https://openalex.org/W2793205632","https://openalex.org/W2894110571","https://openalex.org/W2906875993","https://openalex.org/W2919369348","https://openalex.org/W2922273628","https://openalex.org/W2963658727","https://openalex.org/W2963828068","https://openalex.org/W2964133168","https://openalex.org/W3020687048","https://openalex.org/W3023368586","https://openalex.org/W3037164854","https://openalex.org/W3100844423","https://openalex.org/W4205621617","https://openalex.org/W6627932998","https://openalex.org/W6638018090","https://openalex.org/W6677939520","https://openalex.org/W6678818196","https://openalex.org/W6741002519","https://openalex.org/W6779990354"],"related_works":["https://openalex.org/W2548963335","https://openalex.org/W2159941915","https://openalex.org/W1995129237","https://openalex.org/W1761601995","https://openalex.org/W4300468626","https://openalex.org/W2904599916","https://openalex.org/W4321608401","https://openalex.org/W2909457694","https://openalex.org/W3040536194","https://openalex.org/W2097713053"],"abstract_inverted_index":{"This":[0,81],"paper":[1],"considers":[2],"the":[3,33,36,39,44,54,61,69,72,87,93,97,103,112,119,129,134,148,156,160,165],"Multiple":[4],"Access":[5],"problem":[6,153],"where":[7,32],"<tex>$N$</tex>":[8],"Internet":[9],"of":[10,43,74,118,151,159,167,175],"Things":[11],"(IoT)":[12],"devices":[13,40,64,121,177],"share":[14],"a":[15,20,27,141],"common":[16],"wireless":[17],"medium":[18,197],"towards":[19],"central":[21],"Base":[22],"Station":[23],"(BS).":[24],"We":[25,132,163,185],"propose":[26],"Reinforcement":[28],"Learning":[29],"(RL)":[30],"method":[31],"BS":[34,55],"is":[35,48,83],"agent":[37,98],"and":[38,91,114,122,154,181,195],"are":[41],"part":[42],"environment.":[45],"A":[46],"device":[47],"allowed":[49],"to":[50,57,85,101,110,146],"transmit":[51],"only":[52],"when":[53],"decides":[56],"schedule":[58,102],"it.":[59],"Besides":[60],"information":[62,82],"packets,":[63],"send":[65],"additional":[66],"messages":[67],"like":[68],"delay":[70],"or":[71],"number":[73,174],"discarded":[75],"packets":[76],"since":[77],"their":[78],"last":[79],"transmission.":[80],"used":[84],"design":[86],"RL":[88,107,189],"reward":[89],"function":[90],"constitutes":[92],"next":[94,104],"observation":[95],"that":[96,127,187],"can":[99],"use":[100],"device.":[105],"Leveraging":[106],"allows":[108],"us":[109],"learn":[111],"sporadic":[113],"heterogeneous":[115,176],"traffic":[116,180],"patterns":[117],"IoT":[120],"an":[123],"optimal":[124],"scheduling":[125,193],"policy":[126],"maximizes":[128],"channel":[130],"throughput.":[131],"adapt":[133],"Proximal":[135],"Policy":[136],"Optimization":[137],"(PPO)":[138],"algorithm":[139,190],"with":[140,178],"Recurrent":[142],"Neural":[143],"Network":[144],"(RNN)":[145],"handle":[147],"partial":[149],"observability":[150],"our":[152,168,188],"exploit":[155],"temporal":[157],"correlations":[158],"users&#x0027;":[161],"traffic.":[162],"demonstrate":[164],"performance":[166],"model":[169],"through":[170],"simulations":[171],"on":[172],"different":[173],"periodic":[179],"individual":[182],"latency":[183],"constraints.":[184],"show":[186],"outperforms":[191],"traditional":[192],"schemes":[194],"distributed":[196],"access":[198],"algorithms.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-27T08:26:11.824852","created_date":"2025-10-10T00:00:00"}