{"id":"https://openalex.org/W2907149181","doi":"https://doi.org/10.1109/infocom.2018.8486337","title":"Timely-Throughput Optimal Scheduling with Prediction","display_name":"Timely-Throughput Optimal Scheduling with Prediction","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2907149181","doi":"https://doi.org/10.1109/infocom.2018.8486337","mag":"2907149181"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2018.8486337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2018.8486337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2018 - IEEE Conference on Computer Communications","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/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":["IIIS, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIS, Tsinghua University","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":["IIIS, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIS, Tsinghua University","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":0.6547,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72578127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9993000030517578,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.989300012588501,"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":0.642929196357727},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5626059770584106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43871593475341797},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39801907539367676},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33602333068847656},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1816052794456482},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.1724856197834015}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.642929196357727},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5626059770584106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43871593475341797},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39801907539367676},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33602333068847656},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1816052794456482},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.1724856197834015}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom.2018.8486337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2018.8486337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2018 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.6200000047683716}],"awards":[],"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":31,"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/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/W2962926168","https://openalex.org/W2962941768","https://openalex.org/W2963568654","https://openalex.org/W6635018136"],"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":[2,16,40,50,80,96,101,108,166,173,178,184],"increasing":[3],"importance":[4],"of":[5,20,43,52,95],"providing":[6],"delay-guaranteed":[7],"services":[8],"in":[9,24,27,46,169],"general":[10,33],"computing":[11],"and":[12,15,22,38,105,181,206,211],"communication":[13],"systems,":[14],"recent":[17],"wide":[18],"adoption":[19],"learning":[21],"prediction":[23,67,185,205],"network":[25],"control,":[26],"this":[28],"work,":[29],"we":[30,69,98],"consider":[31],"a":[32,72,92,142],"stochastic":[34],"single-server":[35],"multi-user":[36],"system":[37,207],"investigate":[39],"fundamental":[41],"benefit":[42],"predictive":[44,217],"scheduling":[45,103],"improving":[47],"timely-throughput,":[48],"being":[49],"rate":[51,168],"packets":[53],"that":[54],"are":[55,162],"delivered":[56],"to":[57,78,84,112,193],"destinations":[58],"before":[59],"their":[60],"deadlines.":[61],"By":[62],"adopting":[63],"an":[64,85],"error":[65],"rate-based":[66],"model,":[68],"first":[70],"derive":[71],"Markov":[73],"decision":[74],"process":[75],"(MDP)":[76],"solution":[77],"optimize":[79],"timely-throughput":[81,109],"objective":[82],"subject":[83],"average":[86],"resource":[87],"consumption":[88],"constraint.":[89],"Based":[90],"on":[91],"packet-level":[93],"decomposition":[94],"MDP,":[97],"explicitly":[99],"characterize":[100],"optimal":[102],"policy":[104],"rigorously":[106],"quantify":[107],"improvement":[110],"due":[111],"predictive-service,":[113],"which":[114],"scales":[115],"as":[116],"\u0398(p[C":[117],"<sub":[118,122,132,143,151,157],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[119,123,128,133,137,144,152,158],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[120,153],"[((a-a":[121],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">max</sub>":[124,145],"q))/(p-q)]":[125],"\u03c1":[126,147],"<sup":[127,136],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u03c4</sup>":[129],"+":[130],"C":[131,150,156],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[134,159],"(1-[1/p])](1-\u03c1":[135],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">D</sup>":[138],")),":[139],"where":[140],"a,":[141],",":[146],"\u2208":[148],"(0,1),":[149],">":[154],"0,":[155],"\u2265":[160],"0":[161],"constants,":[163],"p":[164],"is":[165,172,177,183],"true-positive":[167],"prediction,":[170],"Q":[171],"false-negative":[174],"rate,":[175],"\u03c4":[176],"packet":[179],"deadline":[180],"D":[182],"window":[186],"size.":[187],"We":[188],"also":[189],"conduct":[190],"extensive":[191],"simulations":[192],"validate":[194],"our":[195],"theoretical":[196],"findings.":[197],"Our":[198],"results":[199],"provide":[200,212],"novel":[201],"insights":[202],"into":[203],"how":[204],"parameters":[208],"impact":[209],"performance":[210],"useful":[213],"guidelines":[214],"for":[215],"designing":[216],"low-latency":[218],"control":[219],"algorithms.":[220]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
