{"id":"https://openalex.org/W2964250104","doi":"https://doi.org/10.1109/isit.2017.8006542","title":"Remote estimation of the Wiener process over a channel with random delay","display_name":"Remote estimation of the Wiener process over a channel with random delay","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2964250104","doi":"https://doi.org/10.1109/isit.2017.8006542","mag":"2964250104"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2017.8006542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Information Theory (ISIT)","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/A5003200620","display_name":"Yin Sun","orcid":"https://orcid.org/0000-0001-6811-984X"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]},{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]},{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["TR","US"],"is_corresponding":true,"raw_author_name":"Yin Sun","raw_affiliation_strings":["Dept. of ECE, Ohio State University, Columbus, OH","Dept. of EECS, Massachusetts Institute of Technology, Cambridge, MA","Dept. of EEE, Middle East Technical University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Dept. of ECE, Ohio State University, Columbus, OH","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Dept. of EECS, Massachusetts Institute of Technology, Cambridge, MA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Dept. of EEE, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031031216","display_name":"Yury Polyanskiy","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]},{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]},{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["TR","US"],"is_corresponding":false,"raw_author_name":"Yury Polyanskiy","raw_affiliation_strings":["Dept. of ECE, Ohio State University, Columbus, OH","Dept. of EECS, Massachusetts Institute of Technology, Cambridge, MA","Dept. of EEE, Middle East Technical University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Dept. of ECE, Ohio State University, Columbus, OH","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Dept. of EECS, Massachusetts Institute of Technology, Cambridge, MA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Dept. of EEE, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038607553","display_name":"Elif Uysal\u2010Biyikoglu","orcid":"https://orcid.org/0000-0002-7258-4872"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]},{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR","US"],"is_corresponding":false,"raw_author_name":"Elif Uysal-Biyikoglu","raw_affiliation_strings":["Dept. of ECE, Ohio State University, Columbus, OH","Dept. of EECS, Massachusetts Institute of Technology, Cambridge, MA","Dept. of EEE, Middle East Technical University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Dept. of ECE, Ohio State University, Columbus, OH","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Dept. of EECS, Massachusetts Institute of Technology, Cambridge, MA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Dept. of EEE, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003200620"],"corresponding_institution_ids":["https://openalex.org/I201799495","https://openalex.org/I52357470","https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":25.6173,"has_fulltext":false,"cited_by_count":204,"citation_normalized_percentile":{"value":0.99671738,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"321","last_page":"325"},"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":0.9843000173568726,"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"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9679999947547913,"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/sampling","display_name":"Sampling (signal processing)","score":0.746527373790741},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.677956223487854},{"id":"https://openalex.org/keywords/wiener-process","display_name":"Wiener process","score":0.5220767855644226},{"id":"https://openalex.org/keywords/coherent-sampling","display_name":"Coherent sampling","score":0.5146897435188293},{"id":"https://openalex.org/keywords/slice-sampling","display_name":"Slice sampling","score":0.5065733194351196},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.48941197991371155},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.4855770468711853},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.48322638869285583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4695627689361572},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4568943977355957},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43697136640548706},{"id":"https://openalex.org/keywords/stratified-sampling","display_name":"Stratified sampling","score":0.4315989315509796},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.42906394600868225},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4240749180316925},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.41358816623687744},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37493014335632324},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.37483829259872437},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09997650980949402},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.07372400164604187}],"concepts":[{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.746527373790741},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.677956223487854},{"id":"https://openalex.org/C60391097","wikidata":"https://www.wikidata.org/wiki/Q1056809","display_name":"Wiener process","level":2,"score":0.5220767855644226},{"id":"https://openalex.org/C31942786","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Coherent sampling","level":4,"score":0.5146897435188293},{"id":"https://openalex.org/C170593435","wikidata":"https://www.wikidata.org/wiki/Q4128565","display_name":"Slice sampling","level":4,"score":0.5065733194351196},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.48941197991371155},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.4855770468711853},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.48322638869285583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4695627689361572},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4568943977355957},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43697136640548706},{"id":"https://openalex.org/C49898467","wikidata":"https://www.wikidata.org/wiki/Q1517706","display_name":"Stratified sampling","level":2,"score":0.4315989315509796},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.42906394600868225},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4240749180316925},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.41358816623687744},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37493014335632324},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37483829259872437},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09997650980949402},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.07372400164604187},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isit.2017.8006542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:open.metu.edu.tr:11511/42578","is_oa":false,"landing_page_url":"https://hdl.handle.net/11511/42578","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W166675015","https://openalex.org/W1640967807","https://openalex.org/W1678545591","https://openalex.org/W1685524015","https://openalex.org/W1932416753","https://openalex.org/W1993918491","https://openalex.org/W2012726532","https://openalex.org/W2069417241","https://openalex.org/W2070638240","https://openalex.org/W2108552782","https://openalex.org/W2110647183","https://openalex.org/W2125794835","https://openalex.org/W2143128811","https://openalex.org/W2275766413","https://openalex.org/W2491514954","https://openalex.org/W2588468001","https://openalex.org/W2963048432","https://openalex.org/W2963053102","https://openalex.org/W2963230953","https://openalex.org/W2963568655","https://openalex.org/W2963696760","https://openalex.org/W2964201338","https://openalex.org/W2964250104","https://openalex.org/W3102037064"],"related_works":["https://openalex.org/W4251022087","https://openalex.org/W4251489360","https://openalex.org/W2389114423","https://openalex.org/W4238714840","https://openalex.org/W2782784450","https://openalex.org/W3047864323","https://openalex.org/W240700969","https://openalex.org/W2049791232","https://openalex.org/W2381368487","https://openalex.org/W2113774523"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,49],"consider":[4],"a":[5,9,16,20,25,33,64,76,127,145],"problem":[6,177,183],"of":[7,24,36,113,148,169,196,206],"sampling":[8,53,65,73,90,115,124,165,176,199],"Wiener":[10,97,172],"process,":[11,173],"with":[12,27],"samples":[13],"forwarded":[14],"to":[15,63,142,179],"remote":[17],"estimator":[18,31],"via":[19],"channel":[21,102],"that":[22,55,70,108,184,192],"consists":[23],"queue":[26],"random":[28],"delay.":[29,103],"The":[30],"reconstructs":[32],"real-time":[34],"estimate":[35],"the":[37,51,57,71,81,89,96,101,111,114,118,133,151,159,164,170,174,193,197],"signal":[38],"from":[39],"causally":[40],"received":[41],"samples.":[42],"Motivated":[43],"by":[44,88],"recent":[45],"research":[46],"on":[47],"age-of-information,":[48],"study":[50],"optimal":[52,72,82,119,141,175,198],"strategy":[54,74,120],"minimizes":[56],"mean":[58],"square":[59],"estimation":[60,194],"error":[61,195],"subject":[62],"frequency":[66,91,116],"constraint.":[67],"We":[68],"prove":[69],"is":[75,86,107,121,130,136,140,154,201],"threshold":[77,85],"policy,":[78],"and":[79,93,156,211],"find":[80],"threshold.":[83],"This":[84],"determined":[87],"constraint":[92],"how":[94],"much":[95,202],"process":[98],"varies":[99],"during":[100],"An":[104],"interesting":[105],"consequence":[106],"even":[109],"in":[110,125],"absence":[112],"constraint,":[117],"not":[122],"zero-wait":[123,209],"which":[126],"new":[128],"sample":[129,135,153],"taken":[131],"once":[132],"previous":[134,152],"delivered;":[137],"rather,":[138],"it":[139],"wait":[143],"for":[144],"non-zero":[146],"amount":[147],"time":[149],"after":[150],"delivered,":[155],"then":[157],"take":[158],"next":[160],"sample.":[161],"Further,":[162],"if":[163],"times":[166],"are":[167],"independent":[168],"observed":[171],"reduces":[178],"an":[180],"age-of-information":[181],"optimization":[182],"has":[185],"been":[186],"recently":[187],"solved.":[188],"Our":[189],"comparisons":[190],"show":[191],"policy":[200],"smaller":[203],"than":[204],"those":[205],"age-optimal":[207],"sampling,":[208,210],"classic":[212],"uniform":[213],"sampling.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":39},{"year":2020,"cited_by_count":46},{"year":2019,"cited_by_count":40},{"year":2018,"cited_by_count":23},{"year":2017,"cited_by_count":8}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}