{"id":"https://openalex.org/W2962941768","doi":"https://doi.org/10.1109/tnet.2018.2869583","title":"Timely-Throughput Optimal Scheduling With Prediction","display_name":"Timely-Throughput Optimal Scheduling With Prediction","publication_year":2018,"publication_date":"2018-09-28","ids":{"openalex":"https://openalex.org/W2962941768","doi":"https://doi.org/10.1109/tnet.2018.2869583","mag":"2962941768"},"language":"en","primary_location":{"id":"doi:10.1109/tnet.2018.2869583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2018.2869583","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"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/ACM Transactions on Networking","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/A5100444482","display_name":"Kun Chen","orcid":"https://orcid.org/0000-0003-2370-5372"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Chen","raw_affiliation_strings":["Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2370-5372","affiliations":[{"raw_affiliation_string":"Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082905458","display_name":"Longbo Huang","orcid":"https://orcid.org/0000-0002-7341-447X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longbo Huang","raw_affiliation_strings":["Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7341-447X","affiliations":[{"raw_affiliation_string":"Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.095,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.88226782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"26","issue":"6","first_page":"2457","last_page":"2470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11409","display_name":"Advanced Wireless Network Optimization","score":1.0,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":1.0,"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":0.9975000023841858,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9965999722480774,"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":0.6995365023612976},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5526519417762756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42276692390441895},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.4128918945789337},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3677774965763092},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35683178901672363},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.17169973254203796},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15598845481872559},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14990553259849548}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6995365023612976},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5526519417762756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42276692390441895},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.4128918945789337},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3677774965763092},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35683178901672363},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.17169973254203796},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15598845481872559},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14990553259849548}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnet.2018.2869583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2018.2869583","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"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/ACM Transactions on Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5299999713897705,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G571721012","display_name":null,"funder_award_id":"61303195","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G72957147","display_name":null,"funder_award_id":"61672316","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1518931405","https://openalex.org/W1538367270","https://openalex.org/W1583497301","https://openalex.org/W1983699491","https://openalex.org/W2011784170","https://openalex.org/W2078303776","https://openalex.org/W2082645747","https://openalex.org/W2093298018","https://openalex.org/W2098432798","https://openalex.org/W2100609801","https://openalex.org/W2105408916","https://openalex.org/W2107440268","https://openalex.org/W2111762623","https://openalex.org/W2129468829","https://openalex.org/W2135663206","https://openalex.org/W2141260977","https://openalex.org/W2153945693","https://openalex.org/W2159494247","https://openalex.org/W2160706299","https://openalex.org/W2163646188","https://openalex.org/W2270589929","https://openalex.org/W2319641917","https://openalex.org/W2328220946","https://openalex.org/W2415016509","https://openalex.org/W2426915524","https://openalex.org/W2517530313","https://openalex.org/W2525360329","https://openalex.org/W2529461522","https://openalex.org/W2614506285","https://openalex.org/W2752214276","https://openalex.org/W2783951968","https://openalex.org/W2962926168","https://openalex.org/W2963568654","https://openalex.org/W6765641437"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Motivated":[0],"by":[1],"the":[2,16,40,50,81,97,102,109,169,176,181,187],"increasing":[3],"importance":[4],"of":[5,20,43,52,96],"providing":[6],"delay-guaranteed":[7],"services":[8],"in":[9,24,27,46,172],"general":[10,33],"computing":[11],"and":[12,15,22,38,106,184,209,214],"communication":[13],"systems,":[14],"recent":[17],"wide":[18],"adoption":[19],"learning":[21],"prediction":[23,68,188,208],"network":[25],"control,":[26],"this":[28],"paper,":[29],"we":[30,70,99],"consider":[31],"a":[32,73,93,124,144],"stochastic":[34],"single-server":[35],"multi-user":[36],"system":[37,210],"investigate":[39],"fundamental":[41],"benefit":[42],"predictive":[44,220],"scheduling":[45,104],"improving":[47],"timely-throughput,":[48],"being":[49],"rate":[51,66,171],"packets":[53],"that":[54],"are":[55,165],"delivered":[56],"to":[57,79,85,113,196],"destinations":[58],"before":[59],"their":[60],"deadlines.":[61],"By":[62],"adopting":[63],"an":[64,86],"error":[65],"based":[67],"model,":[69],"first":[71],"derive":[72],"Markov":[74],"decision":[75],"process":[76],"(MDP)":[77],"solution":[78],"optimize":[80],"timely-throughput":[82,110],"objective":[83],"subject":[84],"average":[87],"resource":[88],"consumption":[89],"constraint.":[90],"Based":[91],"on":[92],"packet-level":[94],"decomposition":[95],"MDP,":[98],"explicitly":[100],"characterize":[101],"optimal":[103],"policy":[105],"rigorously":[107],"quantify":[108],"improvement":[111],"due":[112],"predictive-service,":[114],"which":[115],"scales":[116],"as":[117],"\u0398(p[C":[118],"<sub":[119,125,134,145,154,160],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[120,126,130,135,139,146,155,161],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[121,156],"(a":[122],"-":[123],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">max</sub>":[127,147],"q)\u03c1":[128],"<sup":[129,138],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u03c4</sup>":[131],"/(p":[132],"-q)+C":[133],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[136,162],"(1-(1/p)](1-\u03c1":[137],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">D</sup>":[140],")),":[141],"where":[142],"a,":[143],",":[148],"\u03c1":[149],"\u2208":[150],"(0,":[151],"1),":[152],"C":[153,159],">":[157],"0,":[158],"\u2265":[163],"0":[164],"constants,":[166],"p":[167],"is":[168,175,180,186],"true-positive":[170],"prediction,":[173],"q":[174],"false-negative":[177],"rate,":[178],"r":[179],"packet":[182],"deadline,":[183],"D":[185],"window":[189],"size.":[190],"We":[191],"also":[192],"conduct":[193],"extensive":[194],"simulations":[195],"validate":[197],"our":[198],"theoretical":[199],"findings.":[200],"Our":[201],"results":[202],"provide":[203,215],"novel":[204],"insights":[205],"into":[206],"how":[207],"parameters":[211],"impact":[212],"performance":[213],"useful":[216],"guidelines":[217],"for":[218],"designing":[219],"low-latency":[221],"control":[222],"algorithms.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}