{"id":"https://openalex.org/W3132341739","doi":"https://doi.org/10.1109/globecom42002.2020.9348022","title":"Age-of-Information-based Scheduling in Multiuser Uplinks with Stochastic Arrivals: A POMDP Approach","display_name":"Age-of-Information-based Scheduling in Multiuser Uplinks with Stochastic Arrivals: A POMDP Approach","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3132341739","doi":"https://doi.org/10.1109/globecom42002.2020.9348022","mag":"3132341739"},"language":"en","primary_location":{"id":"doi:10.1109/globecom42002.2020.9348022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom42002.2020.9348022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","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/A5012463579","display_name":"Aoyu Gong","orcid":"https://orcid.org/0000-0002-6426-238X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aoyu Gong","raw_affiliation_strings":["School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378817","display_name":"Tong Zhang","orcid":"https://orcid.org/0000-0003-1505-0302"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Tong Zhang","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327671","display_name":"He Chen","orcid":"https://orcid.org/0000-0001-8886-9680"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"He Chen","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101907018","display_name":"Yijin Zhang","orcid":"https://orcid.org/0000-0002-1491-209X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijin Zhang","raw_affiliation_strings":["School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":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/T10300","display_name":"Congenital Heart Disease Studies","score":0.9819999933242798,"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":0.812596321105957},{"id":"https://openalex.org/keywords/partially-observable-markov-decision-process","display_name":"Partially observable Markov decision process","score":0.8088275194168091},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.6562321782112122},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6358131170272827},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.6035124659538269},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5296670794487},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.4992992877960205},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4643580913543701},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.44999444484710693},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43400442600250244},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.4333420395851135},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.41488173604011536},{"id":"https://openalex.org/keywords/information-age","display_name":"Information Age","score":0.4142468273639679},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.41421374678611755},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3962089419364929},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3455110490322113},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.2530099153518677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13123103976249695},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10078766942024231},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08299216628074646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08152395486831665}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.812596321105957},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.8088275194168091},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.6562321782112122},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6358131170272827},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.6035124659538269},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5296670794487},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.4992992877960205},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4643580913543701},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.44999444484710693},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43400442600250244},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.4333420395851135},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.41488173604011536},{"id":"https://openalex.org/C91093795","wikidata":"https://www.wikidata.org/wiki/Q956129","display_name":"Information Age","level":2,"score":0.4142468273639679},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.41421374678611755},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3962089419364929},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3455110490322113},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.2530099153518677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13123103976249695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10078766942024231},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08299216628074646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08152395486831665},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom42002.2020.9348022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom42002.2020.9348022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G953098173","display_name":null,"funder_award_id":"30920021127","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1919404870","https://openalex.org/W1993918491","https://openalex.org/W2029199203","https://openalex.org/W2069417241","https://openalex.org/W2146487252","https://openalex.org/W2744248483","https://openalex.org/W2768771208","https://openalex.org/W2908558272","https://openalex.org/W2915151495","https://openalex.org/W2963270598","https://openalex.org/W2969447045","https://openalex.org/W2971038916","https://openalex.org/W2995358840","https://openalex.org/W2995433474","https://openalex.org/W2995485083","https://openalex.org/W2999537820","https://openalex.org/W3080961847","https://openalex.org/W3081560128","https://openalex.org/W3102260691","https://openalex.org/W4205984110","https://openalex.org/W4211024811","https://openalex.org/W6762988481"],"related_works":["https://openalex.org/W2096013579","https://openalex.org/W1589140671","https://openalex.org/W1760611253","https://openalex.org/W52153049","https://openalex.org/W2951545791","https://openalex.org/W1515117609","https://openalex.org/W2294884454","https://openalex.org/W4323315247","https://openalex.org/W3169161914","https://openalex.org/W4321379664"],"abstract_inverted_index":{"In":[0],"this":[1,102],"paper,":[2],"we":[3,80,104,137],"consider":[4],"a":[5,12,27,67,77,84,108,117,140],"multiuser":[6,86],"uplink":[7],"status":[8,20,56,72],"update":[9,73],"system,":[10],"where":[11],"monitor":[13,64],"aims":[14],"to":[15,42,50,82,90,95,122,170],"timely":[16],"collect":[17],"randomly":[18],"generated":[19],"updates":[21,57],"from":[22],"multiple":[23],"end":[24,60,93],"nodes":[25,94],"through":[26],"shared":[28],"wireless":[29],"channel.":[30],"We":[31],"adopt":[32],"the":[33,44,51,55,59,63,71,92,97,124,131,147,155,158,164,173],"recently":[34],"proposed":[35],"metric,":[36],"termed":[37],"age":[38],"of":[39,54,70,157,163,172],"information":[40,45],"(AoI),":[41],"quantify":[43],"timeliness":[46],"and":[47,115,167],"freshness.":[48],"Due":[49],"random":[52],"generation":[53],"at":[58],"node":[61],"side,":[62],"only":[65,145],"grasps":[66],"partial":[68],"knowledge":[69],"arrivals.":[74],"Under":[75],"such":[76],"practical":[78],"scenario,":[79],"aim":[81],"address":[83],"fundamental":[85],"scheduling":[87,126],"problem:":[88],"how":[89],"schedule":[91],"minimize":[96],"network-wide":[98],"AoI?":[99],"To":[100],"solve":[101],"problem,":[103],"formulate":[105],"it":[106],"as":[107],"partially":[109],"observable":[110],"Markov":[111],"decision":[112],"process":[113],"(POMDP),":[114],"develop":[116],"dynamic":[118],"programming":[119],"(DP)":[120],"algorithm":[121],"obtain":[123],"optimal":[125,132,165],"policy.":[127,175],"By":[128],"noting":[129],"that":[130,144,154,162,171],"policy":[133,143,160,166],"is":[134,168],"computationally":[135],"prohibitive,":[136],"further":[138],"design":[139],"low-complexity":[141],"myopic":[142,159],"minimizes":[146],"one-step":[148],"expected":[149],"reward.":[150],"Simulation":[151],"results":[152],"show":[153],"performance":[156],"approaches":[161],"superior":[169],"baseline":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}