{"id":"https://openalex.org/W4315629964","doi":"https://doi.org/10.1109/globecom48099.2022.10000915","title":"Interplay between Distributed AI Workflow and URLLC","display_name":"Interplay between Distributed AI Workflow and URLLC","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4315629964","doi":"https://doi.org/10.1109/globecom48099.2022.10000915"},"language":"en","primary_location":{"id":"doi:10.1109/globecom48099.2022.10000915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10000915","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","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":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","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/A5045623460","display_name":"Milad Ganjalizadeh","orcid":"https://orcid.org/0000-0002-4406-524X"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]},{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Milad Ganjalizadeh","raw_affiliation_strings":["Ericsson Research,Sweden","School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden","Ericsson Research, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Ericsson Research, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067307473","display_name":"Hossein Shokri\u2010Ghadikolaei","orcid":"https://orcid.org/0000-0001-6737-0266"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Hossein S. Ghadikolaei","raw_affiliation_strings":["Ericsson Research,Sweden","Ericsson Research, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"Ericsson Research, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076550542","display_name":"Johan Haraldson","orcid":null},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Johan Haraldson","raw_affiliation_strings":["Ericsson Research,Sweden","Ericsson Research, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"Ericsson Research, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064915398","display_name":"Marina Petrova","orcid":"https://orcid.org/0000-0003-3876-2214"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]},{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE","SE"],"is_corresponding":false,"raw_author_name":"Marina Petrova","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology,Stockholm,Sweden","School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden","Mobile Communications and Computing, RWTH Aachen University, Germany"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Mobile Communications and Computing, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045623460"],"corresponding_institution_ids":["https://openalex.org/I1306339040","https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":0.4155,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60084034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4208","last_page":"4213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9993000030517578,"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":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.7764170169830322},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7190725803375244},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6840534210205078},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5726858973503113},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.4630205035209656},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4448530375957489},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3950806260108948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27923446893692017},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13870087265968323},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10340705513954163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7764170169830322},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7190725803375244},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6840534210205078},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5726858973503113},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.4630205035209656},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4448530375957489},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3950806260108948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27923446893692017},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13870087265968323},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10340705513954163},{"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/globecom48099.2022.10000915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10000915","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","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":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6337919764","display_name":null,"funder_award_id":"iPhD:ID17-0079","funder_id":"https://openalex.org/F4320320940","funder_display_name":"Stiftelsen f\u00f6r\u00a0Strategisk Forskning"}],"funders":[{"id":"https://openalex.org/F4320320940","display_name":"Stiftelsen f\u00f6r\u00a0Strategisk Forskning","ror":"https://ror.org/044wr7g58"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2049469158","https://openalex.org/W2796072484","https://openalex.org/W2963433607","https://openalex.org/W2963599038","https://openalex.org/W2963773265","https://openalex.org/W3012798438","https://openalex.org/W3021654819","https://openalex.org/W3041971333","https://openalex.org/W3092281850","https://openalex.org/W3111182214","https://openalex.org/W3120586454","https://openalex.org/W3177765171","https://openalex.org/W3189317289","https://openalex.org/W4210603236","https://openalex.org/W4297775537","https://openalex.org/W6728757088","https://openalex.org/W6737664043","https://openalex.org/W6751961731","https://openalex.org/W6795007437"],"related_works":["https://openalex.org/W1981780420","https://openalex.org/W2182707996","https://openalex.org/W45233828","https://openalex.org/W2964988449","https://openalex.org/W2397952901","https://openalex.org/W2029380707","https://openalex.org/W188202134","https://openalex.org/W4255934811","https://openalex.org/W2465382974","https://openalex.org/W2010229520"],"abstract_inverted_index":{"Distributed":[0],"artificial":[1],"intelligence":[2],"(AI)":[3],"has":[4],"recently":[5],"accomplished":[6],"tremendous":[7],"breakthroughs":[8],"in":[9,79],"various":[10,90],"communication":[11,67],"services,":[12,135],"ranging":[13],"from":[14,132],"fault-tolerant":[15],"factory":[16,81],"automation":[17,82],"to":[18,128,174],"smart":[19],"cities.":[20],"When":[21],"distributed":[22,50,60,91,108,144,160,178],"learning":[23],"is":[24,153],"run":[25],"over":[26,72],"a":[27,73,80],"set":[28],"of":[29,49,89,100,107,115,124,143,149,159],"wireless":[30],"connected":[31],"devices,":[32],"random":[33],"channel":[34],"fluctuations,":[35],"and":[36,63,97,110,180,195],"the":[37,43,47,57,87,98,104,111,120,130,133,141,147,150,184],"incumbent":[38],"services":[39,69],"simultaneously":[40],"running":[41,70],"on":[42,103,146],"same":[44],"network":[45,170],"affect":[46],"performance":[48,114],"learning.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55,85,118,166],"investigate":[56],"interplay":[58],"between":[59],"AI":[61,92,109,145,161,179,196],"workflow":[62],"ultra-reliable":[64],"low":[65],"latency":[66,176],"(URLLC)":[68],"concurrently":[71],"network.":[74],"Using":[75],"3GPP":[76],"compliant":[77],"simulations":[78],"use":[83],"case,":[84],"show":[86,139],"impact":[88,142],"settings":[93],"(e.g.,":[94,162],"model":[95],"size":[96],"number":[99],"participating":[101],"devices)":[102],"convergence":[105],"time":[106],"application":[112],"layer":[113],"URLLC.":[116],"Unless":[117],"leverage":[119],"existing":[121],"5G-NR":[122],"quality":[123],"service":[125],"handling":[126],"mechanisms":[127],"separate":[129],"traffic":[131],"two":[134],"our":[136],"simulation":[137],"results":[138,188],"that":[140],"availability":[148,182],"URLLC":[151,185],"devices":[152],"significant.":[154],"Moreover,":[155],"with":[156],"proper":[157,163],"setting":[158],"user":[164],"selection),":[165],"can":[167],"substantially":[168],"reduce":[169],"resource":[171],"utilization,":[172],"leading":[173],"lower":[175],"for":[177,183,192],"higher":[181],"users.":[186],"Our":[187],"provide":[189],"important":[190],"insights":[191],"future":[193],"6G":[194],"standardization.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}