{"id":"https://openalex.org/W4320005538","doi":"https://doi.org/10.1109/jsac.2023.3242724","title":"Resource Allocation for Multiuser Edge Inference With Batching and Early Exiting","display_name":"Resource Allocation for Multiuser Edge Inference With Batching and Early Exiting","publication_year":2023,"publication_date":"2023-02-06","ids":{"openalex":"https://openalex.org/W4320005538","doi":"https://doi.org/10.1109/jsac.2023.3242724"},"language":"en","primary_location":{"id":"doi:10.1109/jsac.2023.3242724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2023.3242724","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Communications","raw_type":"journal-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/A5101475683","display_name":"Zhiyan Liu","orcid":"https://orcid.org/0000-0002-9713-4552"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhiyan Liu","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-9713-4552","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102854592","display_name":"Qiao Lan","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qiao Lan","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-2265-9020","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007131492","display_name":"Kaibin Huang","orcid":"https://orcid.org/0000-0001-8773-4629"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kaibin Huang","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-8773-4629","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":5.3896,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.96996379,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"41","issue":"4","first_page":"1186","last_page":"1200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12079","display_name":"IoT Networks and Protocols","score":0.9987999796867371,"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/T12079","display_name":"IoT Networks and Protocols","score":0.9987999796867371,"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":0.9983000159263611,"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":0.9979000091552734,"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/computer-science","display_name":"Computer science","score":0.8919937610626221},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6072010397911072},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5720292329788208},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5528702735900879},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4714145362377167},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4614947736263275},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.44303980469703674},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3116428852081299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22699975967407227}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8919937610626221},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6072010397911072},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5720292329788208},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5528702735900879},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4714145362377167},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4614947736263275},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.44303980469703674},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3116428852081299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22699975967407227}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsac.2023.3242724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2023.3242724","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2367108652","display_name":null,"funder_award_id":"2019B1515130003","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G517546600","display_name":"Radio Resource Management for Machine Learning on the Edge","funder_award_id":"17208319","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G5467295468","display_name":null,"funder_award_id":"JCYJ20200109141414409","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"}],"funders":[{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"},{"id":"https://openalex.org/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2980856918","https://openalex.org/W2996600026","https://openalex.org/W3004277316","https://openalex.org/W3010833785","https://openalex.org/W3029542841","https://openalex.org/W3044591330","https://openalex.org/W3047573586","https://openalex.org/W3116103263","https://openalex.org/W3117103847","https://openalex.org/W3120615301","https://openalex.org/W3130689885","https://openalex.org/W3158444059","https://openalex.org/W3197326271","https://openalex.org/W3212941463","https://openalex.org/W4224952083","https://openalex.org/W4233692232","https://openalex.org/W4235358177","https://openalex.org/W4312500615","https://openalex.org/W6741753902","https://openalex.org/W6745447533","https://openalex.org/W6760696709","https://openalex.org/W6810750064","https://openalex.org/W7065312267"],"related_works":["https://openalex.org/W2923452570","https://openalex.org/W206598027","https://openalex.org/W2978610750","https://openalex.org/W2138260944","https://openalex.org/W2022931285","https://openalex.org/W1589966275","https://openalex.org/W2086872282","https://openalex.org/W2137789903","https://openalex.org/W2138781885","https://openalex.org/W2153007255"],"abstract_inverted_index":{"The":[0,173,270],"deployment":[1],"of":[2,37,148,156],"inference":[3,14,52,325],"services":[4],"at":[5],"the":[6,24,34,62,90,98,114,154,161,165,193,198,206,212,232,243,246,266,280,285,294,324],"network":[7,111],"edge,":[8],"called":[9],"edge":[10,20],"inference,":[11],"offloads":[12],"computation-intensive":[13],"tasks":[15,74],"from":[16,108],"mobile":[17],"devices":[18],"to":[19,82,106,235,274,296,322],"servers,":[21],"thereby":[22,88,117],"enhancing":[23],"former\u2019s":[25],"capabilities":[26],"and":[27,43,55,58,69,87,123,136,196,217,292,309,319],"battery":[28],"lives.":[29],"In":[30,125],"a":[31,76,104,109,119,180,186,202,254,262,289],"multiuser":[32],"system,":[33],"joint":[35],"allocation":[36,133,227,313],"communication-and-computation":[38],"(C2)":[39],"resources":[40],"(i.e.,":[41,92],"scheduling":[42],"bandwidth":[44,290],"allocation)":[45],"is":[46,140,176,228,249,273],"made":[47],"challenging":[48],"by":[49,61,159,230],"adopting":[50],"efficient":[51,149],"techniques,":[53],"batching":[54,135,168,216,318],"early":[56,101,137,171,218,237,320],"exiting,":[57,138],"further":[59],"complicated":[60],"heterogeneity":[63],"in":[64,201],"users\u2019":[65],"requirements":[66],"on":[67,252,279],"accuracy":[68,122],"latency.":[70,124],"Batching":[71],"groups":[72],"multiple":[73],"into":[75,261],"single":[77],"batch":[78,208,268],"for":[79,205,224,239,265,284],"parallel":[80],"processing":[81],"reduce":[83],"time-consuming":[84],"memory":[85],"access":[86],"boosts":[89],"throughput":[91,158,326],"completed":[93],"task":[94,105],"per":[95],"second).":[96],"On":[97,242],"other":[99,244],"hand,":[100,245],"exiting":[102,238,321],"allows":[103],"exit":[107],"deep-neural":[110],"without":[112,170,288],"traversing":[113],"whole":[115],"network,":[116],"supporting":[118],"tradeoff":[120],"between":[121],"this":[126],"work,":[127],"we":[128],"study":[129],"optimal":[130,247,308],"C2":[131,225,311],"resource":[132,226,312],"with":[134,167,192,215,257,328],"which":[139,189],"an":[141,298],"NP-complete":[142],"integer":[143],"programming":[144],"problem.":[145],"A":[146,220],"set":[147],"algorithms":[150,314],"are":[151],"designed":[152],"under":[153],"criterion":[155],"maximum":[157,207,267],"tackling":[160],"challenge.":[162],"First,":[163],"consider":[164,211],"case":[166,214],"but":[169],"exiting.":[172,219],"target":[174,286],"problem":[175,287],"solved":[177],"optimally":[178],"using":[179],"proposed":[181],"best-shelf-packing":[182],"algorithm":[183,223,234],"that":[184,306],"nests":[185],"threshold-based":[187],"scheme,":[188],"selects":[190],"users":[191],"best":[194],"channels":[195],"meeting":[197],"computation-time":[199],"constraints,":[200],"sequential":[203,263],"search":[204,264],"size.":[209,269],"Next,":[210],"general":[213],"low-complexity":[221],"sub-optimal":[222,310],"developed":[229,250],"modifying":[231],"preceding":[233],"exploit":[236],"latency":[240],"reduction.":[241],"approach":[248],"based":[251,278],"nesting":[253],"depth-first":[255],"tree-search":[256],"intelligent":[258,299],"online":[259,300],"pruning":[260,276,301],"key":[271],"idea":[272],"derive":[275],"criteria":[277],"simple":[281],"greedy":[282],"solution":[283],"constraint":[291],"apply":[293],"result":[295],"designing":[297],"scheme.":[302],"Experimental":[303],"results":[304],"demonstrate":[305],"both":[307],"can":[315],"leverage":[316],"integrated":[317],"double":[323],"compared":[327],"conventional":[329],"schemes.":[330]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":13}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}