{"id":"https://openalex.org/W4323521110","doi":"https://doi.org/10.1109/ieeeconf56349.2022.10051893","title":"Graph Neural Networks for Timely Updates of Short Packets in Interference-Limited Networks","display_name":"Graph Neural Networks for Timely Updates of Short Packets in Interference-Limited Networks","publication_year":2022,"publication_date":"2022-10-31","ids":{"openalex":"https://openalex.org/W4323521110","doi":"https://doi.org/10.1109/ieeeconf56349.2022.10051893"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf56349.2022.10051893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf56349.2022.10051893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th Asilomar Conference on Signals, Systems, and Computers","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/A5100324600","display_name":"Yuhong Liu","orcid":"https://orcid.org/0000-0002-3717-427X"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yuhong Liu","raw_affiliation_strings":["School of Electrical and Information Engineering, The University of Sydney,Australia","School of Electrical and Information Engineering, The University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, The University of Sydney,Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079772530","display_name":"Changyang She","orcid":"https://orcid.org/0000-0003-0193-9784"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Changyang She","raw_affiliation_strings":["School of Electrical and Information Engineering, The University of Sydney,Australia","School of Electrical and Information Engineering, The University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, The University of Sydney,Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003076132","display_name":"Wibowo Hardjawana","orcid":"https://orcid.org/0000-0001-6775-8682"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wibowo Hardjawana","raw_affiliation_strings":["School of Electrical and Information Engineering, The University of Sydney,Australia","School of Electrical and Information Engineering, The University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, The University of Sydney,Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043371405","display_name":"Branka Vucetic","orcid":"https://orcid.org/0000-0002-2700-2001"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Branka Vucetic","raw_affiliation_strings":["School of Electrical and Information Engineering, The University of Sydney,Australia","School of Electrical and Information Engineering, The University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, The University of Sydney,Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1050","last_page":"1054"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":1.0,"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":1.0,"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/T12079","display_name":"IoT Networks and Protocols","score":0.9811999797821045,"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/T10300","display_name":"Congenital Heart Disease Studies","score":0.9621999859809875,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8071783781051636},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6388962268829346},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5695112943649292},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.5485674738883972},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5342084169387817},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.5173413157463074},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4964967370033264},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.49494045972824097},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4598269462585449},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44684261083602905},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.44317561388015747},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4177543520927429},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36130183935165405},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2374477982521057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20740842819213867},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07884585857391357}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8071783781051636},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6388962268829346},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5695112943649292},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5485674738883972},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5342084169387817},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.5173413157463074},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4964967370033264},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.49494045972824097},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4598269462585449},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44684261083602905},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.44317561388015747},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4177543520927429},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36130183935165405},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2374477982521057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20740842819213867},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07884585857391357},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf56349.2022.10051893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf56349.2022.10051893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th Asilomar Conference on Signals, Systems, and Computers","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":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1993918491","https://openalex.org/W2106864314","https://openalex.org/W2201581102","https://openalex.org/W2596284900","https://openalex.org/W2886448199","https://openalex.org/W2915151495","https://openalex.org/W2963864421","https://openalex.org/W2971598376","https://openalex.org/W2995037286","https://openalex.org/W3039000971","https://openalex.org/W3101422709","https://openalex.org/W3111499798","https://openalex.org/W3120652158","https://openalex.org/W3135089279","https://openalex.org/W3189854358","https://openalex.org/W6684921986"],"related_works":["https://openalex.org/W2978729728","https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W2086397253","https://openalex.org/W2586732548","https://openalex.org/W3049728571","https://openalex.org/W20361778"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,22,30,36,41,63,71,92,98,109,117,120,124,131,140,146,154,157,162,168,177,183,189],"timely":[4],"updates":[5],"of":[6,32,70,78,112,127,142,185],"short":[7],"packets":[8],"in":[9,40,130,145,153,188],"interference-limited":[10,42],"networks.":[11],"Specifically,":[12],"we":[13,49],"minimize":[14],"a":[15,45,51,86,104,128],"performance":[16],"metric,":[17],"Age-of-Information":[18],"(AoI),":[19],"by":[20,75,116,161],"optimizing":[21],"power":[23],"control":[24],"policy":[25,58],"that":[26,90,137,152],"is":[27,44,85,103,123,149,164,180],"scalable":[28,181],"to":[29,61,97,182],"number":[31,141,184],"wireless":[33,143,186],"links.":[34],"Since":[35],"AoI":[37,93,159],"minimization":[38],"problem":[39],"network":[43,95],"sequential":[46],"decision-making":[47],"problem,":[48],"develop":[50],"deep":[52],"reinforcement":[53],"learning":[54],"algorithm,":[55],"graph-based":[56],"deterministic":[57],"gradient":[59],"(GDPG),":[60],"find":[62],"optimal":[64],"policy.":[65],"The":[66,83,101],"actor":[67,84],"and":[68,94],"critic":[69,102],"GDPG":[72,163,179],"are":[73],"represented":[74],"two":[76],"types":[77],"graph":[79],"neural":[80],"networks":[81],"(GNNs).":[82],"random":[87],"edge":[88],"GNN":[89,106],"maps":[91],"topology":[96],"transmit":[99],"power.":[100],"message-passing":[105,132],"for":[107],"estimating":[108],"long-term":[110],"reward":[111],"state-action":[113],"pairs":[114],"visited":[115],"policy,":[118],"where":[119],"received":[121],"interference":[122],"aggregated":[125],"message":[126],"node":[129],"GNN.":[133],"Simulation":[134],"results":[135],"show":[136],"even":[138],"when":[139],"links":[144,187],"testing":[147],"stage":[148],"different":[150],"from":[151],"training":[155],"stage,":[156],"average":[158],"achieved":[160],"30%":[165],"lower":[166],"than":[167],"weighted":[169],"minimum":[170],"mean":[171],"square":[172],"error":[173],"(WMMSE)":[174],"algorithm.":[175],"Therefore,":[176],"proposed":[178],"communication":[190],"network.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}