{"id":"https://openalex.org/W4382365105","doi":"https://doi.org/10.1109/itw55543.2023.10161647","title":"Coding Gain for Age of Information in a Multi-source System with Erasure Channel","display_name":"Coding Gain for Age of Information in a Multi-source System with Erasure Channel","publication_year":2023,"publication_date":"2023-04-23","ids":{"openalex":"https://openalex.org/W4382365105","doi":"https://doi.org/10.1109/itw55543.2023.10161647"},"language":"en","primary_location":{"id":"doi:10.1109/itw55543.2023.10161647","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/itw55543.2023.10161647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Information Theory Workshop (ITW)","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/A5010837603","display_name":"Shubhransh Singhvi","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shubhransh Singhvi","raw_affiliation_strings":["IIIT Hyderabad,Signal Processing and Communication Research Center,India","Signal Processing and Communication Research Center, IIIT Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIT Hyderabad,Signal Processing and Communication Research Center,India","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":"Signal Processing and Communication Research Center, IIIT Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084293922","display_name":"Praful D. Mankar","orcid":"https://orcid.org/0000-0003-2725-824X"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Praful D. Mankar","raw_affiliation_strings":["IIIT Hyderabad,Signal Processing and Communication Research Center,India","Signal Processing and Communication Research Center, IIIT Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIT Hyderabad,Signal Processing and Communication Research Center,India","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":"Signal Processing and Communication Research Center, IIIT Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07995227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/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":0.9735000133514404,"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/T11993","display_name":"Atomic and Subatomic Physics Research","score":0.9509000182151794,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6795652508735657},{"id":"https://openalex.org/keywords/news-aggregator","display_name":"News aggregator","score":0.668039083480835},{"id":"https://openalex.org/keywords/binary-erasure-channel","display_name":"Binary erasure channel","score":0.650059700012207},{"id":"https://openalex.org/keywords/erasure","display_name":"Erasure","score":0.5166878700256348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4776776432991028},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.47045600414276123},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4434187114238739},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4386940896511078},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.4315633773803711},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.39661508798599243},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3959246873855591},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.37137728929519653},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.270113080739975},{"id":"https://openalex.org/keywords/channel-capacity","display_name":"Channel capacity","score":0.21720710396766663},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1860787272453308}],"concepts":[{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6795652508735657},{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.668039083480835},{"id":"https://openalex.org/C149862233","wikidata":"https://www.wikidata.org/wiki/Q864142","display_name":"Binary erasure channel","level":4,"score":0.650059700012207},{"id":"https://openalex.org/C2778790127","wikidata":"https://www.wikidata.org/wiki/Q484885","display_name":"Erasure","level":2,"score":0.5166878700256348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4776776432991028},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.47045600414276123},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4434187114238739},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4386940896511078},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.4315633773803711},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.39661508798599243},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3959246873855591},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.37137728929519653},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.270113080739975},{"id":"https://openalex.org/C97744766","wikidata":"https://www.wikidata.org/wiki/Q870845","display_name":"Channel capacity","level":3,"score":0.21720710396766663},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1860787272453308},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itw55543.2023.10161647","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/itw55543.2023.10161647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W32864775","https://openalex.org/W2063142364","https://openalex.org/W2125921054","https://openalex.org/W2143241245","https://openalex.org/W2153623795","https://openalex.org/W2181757013","https://openalex.org/W2345637103","https://openalex.org/W2612100624","https://openalex.org/W2960308605","https://openalex.org/W2963869148","https://openalex.org/W2964222997","https://openalex.org/W2975998570","https://openalex.org/W2990112497","https://openalex.org/W3005950813","https://openalex.org/W3007083979","https://openalex.org/W3013653460","https://openalex.org/W3019935896","https://openalex.org/W3024281893","https://openalex.org/W3100552666","https://openalex.org/W3126686235","https://openalex.org/W3137257456","https://openalex.org/W3214840720","https://openalex.org/W4280651027","https://openalex.org/W4288415852","https://openalex.org/W4289655233","https://openalex.org/W4310901935","https://openalex.org/W4372269336","https://openalex.org/W6685685383","https://openalex.org/W6760743677","https://openalex.org/W6777485811","https://openalex.org/W6850034323"],"related_works":["https://openalex.org/W2372190485","https://openalex.org/W2583282232","https://openalex.org/W2962908977","https://openalex.org/W2140357074","https://openalex.org/W2113562070","https://openalex.org/W2953350338","https://openalex.org/W2810502498","https://openalex.org/W2028268383","https://openalex.org/W2743670993","https://openalex.org/W4299127639"],"abstract_inverted_index":{"In":[0],"our":[1],"work,":[2],"we":[3,83],"study":[4],"the":[5,62,66,71,75,86,96],"age":[6],"of":[7,19],"information":[8],"(AoI)":[9],"in":[10],"a":[11,24,28,32,50],"multi-source":[12,67],"system":[13,98],"where":[14,105],"K":[15],"sources":[16],"transmit":[17],"updates":[18],"their":[20],"time-varying":[21],"processes":[22],"via":[23],"common-aggregator":[25],"node":[26,30],"to":[27],"destination":[29],"through":[31],"channel":[33,48],"with":[34,49],"packet":[35,46],"delivery":[36],"errors.":[37],"We":[38,54,69],"analyze":[39],"AoI":[40,73],"for":[41,64,74,80],"an":[42],"(\u03b1,\u03b2,\u03f5<inf>0</inf>,":[43],"\u03f5<inf>1</inf>)-Gilbert-Elliot":[44],"(GE)":[45],"erasure":[47],"round-robin":[51],"scheduling":[52],"policy.":[53],"employ":[55],"maximum":[56,92,125],"distance":[57],"separable":[58],"(MDS)":[59],"scheme":[60],"at":[61],"aggregator":[63],"encoding":[65],"updates.":[68],"characterize":[70],"mean":[72],"MDS":[76],"coded":[77],"system.":[78],"Further,":[79],"large":[81],"blocklengths,":[82],"show":[84],"that":[85,90],"optimal":[87],"coding":[88,93,126],"rate":[89],"achieves":[91],"gain":[94,127],"over":[95],"uncoded":[97],"is":[99,128],"$1":[100,129],"-":[101,103,132],"\\mathcal{P}":[102,131],"\\mathcal{O}(1)$,":[104],"$\\mathcal{P}":[106],"\\triangleq":[107],"\\frac{\\beta":[108],"}{{\\alpha":[109,117],"+":[110,115,118,130],"\\beta":[111,119],"}}{":[112,120],"\\in":[113,121],"_0}":[114],"\\frac{\\alpha":[116],"_1}$,":[122],"and":[123],"this":[124],"\\mathcal{O}(1)$.":[133]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
