{"id":"https://openalex.org/W4210495541","doi":"https://doi.org/10.1109/globecom46510.2021.9685243","title":"Achieving Ultra High Freshness in Real-Time Monitoring and Decision Making with Incremental Decoding","display_name":"Achieving Ultra High Freshness in Real-Time Monitoring and Decision Making with Incremental Decoding","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4210495541","doi":"https://doi.org/10.1109/globecom46510.2021.9685243"},"language":"en","primary_location":{"id":"doi:10.1109/globecom46510.2021.9685243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685243","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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/A5086362692","display_name":"Shaoling Hu","orcid":"https://orcid.org/0000-0001-9783-4674"},"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":"Shaoling Hu","raw_affiliation_strings":["Tsinghua University,Department of Electronic Engineering,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Electronic Engineering,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068625223","display_name":"Junjie Wu","orcid":"https://orcid.org/0000-0003-0609-6034"},"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":"Junjie Wu","raw_affiliation_strings":["Tsinghua University,Department of Electronic Engineering,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Electronic Engineering,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108049716","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0002-9066-1448"},"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":"Wei Chen","raw_affiliation_strings":["Tsinghua University,Department of Electronic Engineering,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Electronic Engineering,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008039780","display_name":"Anthony Ephremides","orcid":"https://orcid.org/0000-0003-0172-8944"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony Ephremides","raw_affiliation_strings":["University of Maryland,Department of Electrical and Computer Engineering,MD,USA,20740"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland,Department of Electrical and Computer Engineering,MD,USA,20740","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3565,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80758342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.9998999834060669,"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":0.9998999834060669,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9984999895095825,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/decoding-methods","display_name":"Decoding methods","score":0.8431294560432434},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.8405777215957642},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7466551065444946},{"id":"https://openalex.org/keywords/code-word","display_name":"Code word","score":0.5347921252250671},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.48606207966804504},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4816281199455261},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.45767661929130554},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4547601640224457},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.4500768184661865},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4057570695877075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2498849630355835},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1473783254623413},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12881875038146973},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09750992059707642}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8431294560432434},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.8405777215957642},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7466551065444946},{"id":"https://openalex.org/C153207627","wikidata":"https://www.wikidata.org/wiki/Q863873","display_name":"Code word","level":3,"score":0.5347921252250671},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.48606207966804504},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4816281199455261},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.45767661929130554},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4547601640224457},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.4500768184661865},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4057570695877075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2498849630355835},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1473783254623413},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12881875038146973},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09750992059707642},{"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/globecom46510.2021.9685243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685243","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7300000190734863,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3005843618","display_name":null,"funder_award_id":"4191001","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1993918491","https://openalex.org/W2148037789","https://openalex.org/W2904795012","https://openalex.org/W2969519626","https://openalex.org/W3002824621","https://openalex.org/W3013374752","https://openalex.org/W3080221663","https://openalex.org/W3093513233","https://openalex.org/W3099066511","https://openalex.org/W3131123664","https://openalex.org/W3131549899","https://openalex.org/W3173159127","https://openalex.org/W3183298611","https://openalex.org/W6773112480","https://openalex.org/W6784705371","https://openalex.org/W6790609289","https://openalex.org/W6790933454"],"related_works":["https://openalex.org/W2369939250","https://openalex.org/W2355032504","https://openalex.org/W1588525449","https://openalex.org/W2050865889","https://openalex.org/W2145406111","https://openalex.org/W2012023010","https://openalex.org/W1966593131","https://openalex.org/W2393018242","https://openalex.org/W4376277154","https://openalex.org/W4384933762"],"abstract_inverted_index":{"Real-time":[0],"monitoring":[1,32],"and":[2,19,33,146],"remote":[3,34],"control":[4,35],"of":[5,22,82],"stochastic":[6],"systems":[7],"have":[8],"attracted":[9],"considerable":[10],"attention":[11],"due":[12],"to":[13,26,58],"their":[14],"potential":[15],"in":[16,30,46,62,96,149],"task-oriented":[17],"communications":[18],"industrial":[20],"Internet":[21],"Things":[23],"(IIoT).":[24],"How":[25],"achieve":[27],"ultra":[28],"high-freshness":[29],"real-time":[31,80,113,150],"becomes":[36],"a":[37,64,83,87,112],"challenging":[38],"problem.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43,109],"are":[44],"interested":[45],"the":[47,79,97,119,139,144],"freshness":[48],"oriented":[49],"source":[50,60,101,133],"coding":[51,92],"with":[52],"incremental":[53,140],"decoding.":[54],"This":[55],"is":[56,67,73,94,103],"contrast":[57],"con-ventional":[59],"encoding/decoding,":[61],"which":[63,108],"random":[65,84],"sample":[66,85],"estimated":[68],"after":[69],"its":[70],"entire":[71],"codeword":[72],"received.":[74],"Incremental":[75],"decoding,":[76],"however,":[77],"allows":[78],"estimation":[81],"once":[86],"new":[88],"bit":[89],"or":[90,125],"channel":[91],"block":[93],"decoded":[95],"physical":[98],"layer.":[99],"Its":[100],"codebook":[102,131],"then":[104],"optimized,":[105],"based":[106],"on":[107],"further":[110],"conceive":[111],"decision":[114,126,147],"policy.":[115],"Our":[116],"policies":[117],"minimize":[118],"average":[120],"mean":[121],"square":[122],"error":[123],"(MSE)":[124],"cost":[127,148],"by":[128],"judiciously":[129],"designed":[130],"for":[132],"encoding.":[134],"Numerical":[135],"results":[136],"show":[137],"that":[138],"decoding":[141],"substantially":[142],"reduces":[143],"MSE":[145],"monitoring.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
