{"id":"https://openalex.org/W4280511043","doi":"https://doi.org/10.1109/wcnc51071.2022.9771770","title":"Deep Reinforcement Learning for Joint User Association and Resource Allocation in Factory Automation","display_name":"Deep Reinforcement Learning for Joint User Association and Resource Allocation in Factory Automation","publication_year":2022,"publication_date":"2022-04-10","ids":{"openalex":"https://openalex.org/W4280511043","doi":"https://doi.org/10.1109/wcnc51071.2022.9771770"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc51071.2022.9771770","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc51071.2022.9771770","pdf_url":null,"source":{"id":"https://openalex.org/S4363607776","display_name":"2022 IEEE Wireless Communications and Networking Conference (WCNC)","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":"2022 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5086913973","display_name":"Mohammad Farzanullah","orcid":null},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohammad Farzanullah","raw_affiliation_strings":["McGill University,Department of Electrical & Computer Engineering,Montreal,QC,Canada","Department of Electrical &amp"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McGill University,Department of Electrical & Computer Engineering,Montreal,QC,Canada","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Department of Electrical &amp","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101477931","display_name":"Hung V. Vu","orcid":"https://orcid.org/0000-0001-5817-4992"},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hung V. Vu","raw_affiliation_strings":["Huawei Technologies Canada,Ottawa,ON,Canada","Huawei Technologies Canada, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Canada,Ottawa,ON,Canada","institution_ids":["https://openalex.org/I4210115038"]},{"raw_affiliation_string":"Huawei Technologies Canada, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026464766","display_name":"Tho Le\u2010Ngoc","orcid":"https://orcid.org/0000-0002-9308-8894"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tho Le-Ngoc","raw_affiliation_strings":["McGill University,Department of Electrical & Computer Engineering,Montreal,QC,Canada","Department of Electrical &amp"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McGill University,Department of Electrical & Computer Engineering,Montreal,QC,Canada","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Department of Electrical &amp","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9137,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.85146737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2059","last_page":"2064"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9994000196456909,"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/T10964","display_name":"Wireless Communication Security Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/payload","display_name":"Payload (computing)","score":0.8020156621932983},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7263489961624146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6314151883125305},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6006338000297546},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5640372633934021},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.46923285722732544},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.46892836689949036},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.45503589510917664},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4456322491168976},{"id":"https://openalex.org/keywords/factory","display_name":"Factory (object-oriented programming)","score":0.4300915002822876},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.40412387251853943},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3838939070701599},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26735198497772217},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.22704729437828064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17584967613220215},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11662817001342773}],"concepts":[{"id":"https://openalex.org/C134066672","wikidata":"https://www.wikidata.org/wiki/Q1424639","display_name":"Payload (computing)","level":3,"score":0.8020156621932983},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7263489961624146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6314151883125305},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6006338000297546},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5640372633934021},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.46923285722732544},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.46892836689949036},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.45503589510917664},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4456322491168976},{"id":"https://openalex.org/C40149104","wikidata":"https://www.wikidata.org/wiki/Q5620977","display_name":"Factory (object-oriented programming)","level":2,"score":0.4300915002822876},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.40412387251853943},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3838939070701599},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26735198497772217},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.22704729437828064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17584967613220215},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11662817001342773},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc51071.2022.9771770","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc51071.2022.9771770","pdf_url":null,"source":{"id":"https://openalex.org/S4363607776","display_name":"2022 IEEE Wireless Communications and Networking Conference (WCNC)","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":"2022 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4399999976158142}],"awards":[],"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":21,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W41554520","https://openalex.org/W2762579166","https://openalex.org/W2888640426","https://openalex.org/W2960254576","https://openalex.org/W2963250023","https://openalex.org/W2968764495","https://openalex.org/W3006423690","https://openalex.org/W3009978309","https://openalex.org/W3013864432","https://openalex.org/W3022129024","https://openalex.org/W3027935055","https://openalex.org/W3035917125","https://openalex.org/W3037857375","https://openalex.org/W3088382980","https://openalex.org/W4226048154","https://openalex.org/W6637967152","https://openalex.org/W6773467483","https://openalex.org/W6775686901","https://openalex.org/W6783058575","https://openalex.org/W6787303274"],"related_works":["https://openalex.org/W1535080110","https://openalex.org/W306312984","https://openalex.org/W857189463","https://openalex.org/W4288094128","https://openalex.org/W2979675132","https://openalex.org/W2790520092","https://openalex.org/W4306309337","https://openalex.org/W2312786236","https://openalex.org/W20648474","https://openalex.org/W2109516765"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,37,79,82,91,99,102,127,132,137,145,155,162,169],"problem":[3],"of":[4,45,85,182],"joint":[5],"user":[6],"association,":[7],"channel":[8],"assignment,":[9],"and":[10,24,47,69,129,147],"power":[11,148],"allocation":[12],"for":[13,73,116,141],"mobile":[14,40],"robot":[15],"application":[16],"in":[17,65,93,122],"factory":[18,67],"automation":[19],"system":[20],"that":[21,168,181],"require":[22],"ultrareliable":[23],"low":[25],"latency":[26,46,80],"communications":[27],"(URLLC).":[28],"The":[29,58,119,150],"aim":[30],"is":[31,88,152],"to":[32,39,62,90,104,134,153,160,180],"deliver":[33],"control":[34],"commands":[35],"from":[36],"controller":[38],"robots":[41,59],"with":[42,131,144],"stringent":[43],"requirements":[44],"reliability.":[48],"To":[49],"achieve":[50],"URLLC,":[51],"we":[52,110],"develop":[53],"a":[54,66,86],"two-phase":[55],"communication":[56],"scheme.":[57],"work":[60],"close":[61,179],"each":[63],"other":[64],"environment":[68,133],"can":[70,172],"form":[71],"clusters":[72],"reliable":[74],"device-to-device":[75],"(D2D)":[76],"communications.":[77],"Within":[78],"requirements,":[81],"combined":[83],"payload":[84,103,157,176],"cluster":[87,120],"transmitted":[89],"leader":[92,100],"Phase":[94,97,123],"I.":[95],"In":[96],"II,":[98],"broadcasts":[101],"its":[105],"members.":[106],"Under":[107],"this":[108],"strategy,":[109],"use":[111],"multi-agent":[112],"reinforcement":[113],"learning":[114],"(MARL)":[115],"resource":[117],"allocation.":[118],"leaders":[121],"I":[124],"act":[125],"as":[126],"agents":[128],"interact":[130],"optimally":[135],"select":[136],"Access":[138],"Point":[139],"(AP)":[140],"connection":[142],"along":[143],"sub-band":[146],"level.":[149],"objective":[151],"maximize":[154],"successful":[156,175],"delivery":[158,177],"probability":[159,178],"all":[161],"robots.":[163],"Illustrative":[164],"simulation":[165],"results":[166],"indicate":[167],"proposed":[170],"scheme":[171],"offer":[173],"average":[174],"centralized":[183],"exhaustive":[184],"search":[185],"algorithm.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}