{"id":"https://openalex.org/W4206957747","doi":"https://doi.org/10.1109/gcwkshps52748.2021.9682005","title":"Edge-Wise Gated Graph Neural Network for User Association in Massive URLLC","display_name":"Edge-Wise Gated Graph Neural Network for User Association in Massive URLLC","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4206957747","doi":"https://doi.org/10.1109/gcwkshps52748.2021.9682005"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps52748.2021.9682005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps52748.2021.9682005","pdf_url":null,"source":{"id":"https://openalex.org/S4363605397","display_name":"2021 IEEE Globecom Workshops (GC Wkshps)","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 Globecom Workshops (GC Wkshps)","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/A5103096827","display_name":"Xuemeng Liu","orcid":"https://orcid.org/0000-0002-4527-0173"},"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":true,"raw_author_name":"Xuemeng Liu","raw_affiliation_strings":["School of Electrical and Information Engineering, The University of Sydney, Australia"],"affiliations":[{"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"],"affiliations":[{"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/A5100448724","display_name":"Yonghui Li","orcid":"https://orcid.org/0000-0001-7702-1123"},"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":"Yonghui Li","raw_affiliation_strings":["School of Electrical and Information Engineering, The University of Sydney, Australia"],"affiliations":[{"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"],"affiliations":[{"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":4,"corresponding_author_ids":["https://openalex.org/A5103096827"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":1.2377,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76565207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"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":0.9980000257492065,"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":0.9980000257492065,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9977999925613403,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9973999857902527,"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":0.8048610687255859},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5442734360694885},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5417010188102722},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.5243332982063293},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.5073146224021912},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4581114649772644},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.45500585436820984},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.43942171335220337},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.43810802698135376},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.43154674768447876},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.42695778608322144},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42513367533683777},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.4209164083003998},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.2961180806159973},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2617495656013489},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15861880779266357}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8048610687255859},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5442734360694885},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5417010188102722},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.5243332982063293},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.5073146224021912},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4581114649772644},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.45500585436820984},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.43942171335220337},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.43810802698135376},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.43154674768447876},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.42695778608322144},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42513367533683777},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.4209164083003998},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.2961180806159973},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2617495656013489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15861880779266357},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshps52748.2021.9682005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps52748.2021.9682005","pdf_url":null,"source":{"id":"https://openalex.org/S4363605397","display_name":"2021 IEEE Globecom Workshops (GC Wkshps)","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 Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W595252221","https://openalex.org/W1522301498","https://openalex.org/W2624989916","https://openalex.org/W2766451823","https://openalex.org/W2909473479","https://openalex.org/W2957611518","https://openalex.org/W2971598376","https://openalex.org/W2991301449","https://openalex.org/W3004171315","https://openalex.org/W3082926577","https://openalex.org/W3091752016","https://openalex.org/W3106251788","https://openalex.org/W3111499798","https://openalex.org/W3135089279","https://openalex.org/W3161918929","https://openalex.org/W3187692631","https://openalex.org/W4247230948","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W2371352078","https://openalex.org/W2953461625","https://openalex.org/W2077383796","https://openalex.org/W2080136900","https://openalex.org/W2372768926","https://openalex.org/W2999799752","https://openalex.org/W2567825307","https://openalex.org/W2054458431","https://openalex.org/W3034084251","https://openalex.org/W4376480820"],"abstract_inverted_index":{"To":[0,132],"support":[1],"ultra-reliable":[2],"and":[3,66,88,142,152],"low-latency":[4],"communications":[5,141],"with":[6,20,84,114,169],"massive":[7],"connections,":[8],"we":[9,91],"develop":[10],"a":[11,81,110,115,123],"novel":[12],"user":[13,96],"association":[14],"algorithm":[15],"in":[16,40,72,139,164],"mobile":[17],"edge":[18,73,103],"computing":[19],"grant-free":[21],"random":[22,64],"access":[23],"based":[24],"on":[25],"an":[26,41,102],"edge-wise":[27],"gated":[28],"graph":[29,83],"neural":[30,126],"network":[31,79,127],"(EG-GNN).":[32],"The":[33,117],"parameters":[34],"of":[35,56,63,101,166],"the":[36,46,52,60,67,77,93,99,107,134,157],"EG-GNN":[37,94,159],"are":[38,120,145],"trained":[39],"unsupervised":[42],"manner":[43],"by":[44,80,122],"minimizing":[45],"overall":[47,167],"packet":[48,58],"loss":[49],"probability,":[50],"including":[51],"decoding":[53],"error":[54],"probability":[55,62,71,108],"short":[57],"transmissions,":[59],"collision":[61],"access,":[65],"processing":[68],"delay":[69],"violation":[70],"servers.":[74],"By":[75],"representing":[76],"wireless":[78,140],"bipartite":[82],"base":[85],"station":[86],"nodes":[87],"device":[89,111,130],"nodes,":[90],"apply":[92],"to":[95,147],"association,":[97],"where":[98],"\"gate\"":[100],"is":[104],"defined":[105],"as":[106],"that":[109,156],"will":[112],"associate":[113],"BS.":[116],"values":[118],"gates":[119],"determined":[121],"fully":[124],"connected":[125],"at":[128],"each":[129],"node.":[131],"improve":[133],"training":[135],"efficiency,":[136],"analytical":[137,153],"results":[138,154],"queueing":[143],"theory":[144],"exploited":[146],"update":[148],"node":[149],"features.":[150],"Simulation":[151],"demonstrate":[155],"proposed":[158],"approach":[160],"outperforms":[161],"existing":[162],"benchmarks":[163],"terms":[165],"reliability":[168],"linear":[170],"complexity.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
