{"id":"https://openalex.org/W2581726295","doi":"https://doi.org/10.1109/isit.2017.8006733","title":"Structure of optimal strategies for remote estimation over Gilbert-Elliott channel with feedback","display_name":"Structure of optimal strategies for remote estimation over Gilbert-Elliott channel with feedback","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2581726295","doi":"https://doi.org/10.1109/isit.2017.8006733","mag":"2581726295"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2017.8006733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006733","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/A5089152829","display_name":"Jhelum Chakravorty","orcid":"https://orcid.org/0000-0001-5311-9046"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jhelum Chakravorty","raw_affiliation_strings":["Electrical and Computer Engineering, McGill University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, McGill University, Montreal, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005770424","display_name":"Aditya Mahajan","orcid":"https://orcid.org/0000-0001-8125-1191"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Aditya Mahajan","raw_affiliation_strings":["Electrical and Computer Engineering, McGill University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, McGill University, Montreal, Canada","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089152829"],"corresponding_institution_ids":["https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":1.6576,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85649594,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"41","issue":null,"first_page":"1272","last_page":"1276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9997000098228455,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9997000098228455,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9983000159263611,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/channel","display_name":"Channel (broadcasting)","score":0.7487780451774597},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6919691562652588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6613282561302185},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6526406407356262},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.6268199682235718},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5775681734085083},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5564047694206238},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5295929312705994},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.5005221366882324},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.45247167348861694},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.418806254863739},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40524598956108093},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24351626634597778},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2265748679637909},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.21418100595474243},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.122170090675354},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.11016514897346497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09670209884643555}],"concepts":[{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.7487780451774597},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6919691562652588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6613282561302185},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6526406407356262},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.6268199682235718},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5775681734085083},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5564047694206238},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5295929312705994},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.5005221366882324},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.45247167348861694},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.418806254863739},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40524598956108093},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24351626634597778},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2265748679637909},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.21418100595474243},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.122170090675354},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.11016514897346497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09670209884643555},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2017.8006733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006733","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W11542305","https://openalex.org/W1795009452","https://openalex.org/W1991888757","https://openalex.org/W2063142364","https://openalex.org/W2080096734","https://openalex.org/W2110647183","https://openalex.org/W2113846837","https://openalex.org/W2116343044","https://openalex.org/W2122777576","https://openalex.org/W2153623795","https://openalex.org/W2155279174","https://openalex.org/W2168228312","https://openalex.org/W2169811528","https://openalex.org/W2275766413","https://openalex.org/W2548873026","https://openalex.org/W2581726295","https://openalex.org/W2584704622","https://openalex.org/W2588255155","https://openalex.org/W2773786819","https://openalex.org/W2962710862","https://openalex.org/W2963048432","https://openalex.org/W2963230267","https://openalex.org/W2963674785","https://openalex.org/W2964042550","https://openalex.org/W2964201338","https://openalex.org/W3102037064","https://openalex.org/W6682759254","https://openalex.org/W6729047658","https://openalex.org/W6732956200"],"related_works":["https://openalex.org/W2355663289","https://openalex.org/W2982399888","https://openalex.org/W2106913410","https://openalex.org/W4380372336","https://openalex.org/W2354248671","https://openalex.org/W2059045613","https://openalex.org/W4250215096","https://openalex.org/W2119209917","https://openalex.org/W2145047504","https://openalex.org/W2159179523"],"abstract_inverted_index":{"We":[0,84],"investigate":[1],"remote":[2],"estimation":[3,70,118],"over":[4],"a":[5,26,74,112],"Gilbert-Elliot":[6],"channel":[7,11,23,30],"with":[8,43,81],"feedback.":[9],"The":[10,29],"is":[12,32,120],"modelled":[13],"as":[14,25],"an":[15],"ON/OFF":[16],"channel,":[17],"where":[18,90],"the":[19,22,35,41,49,64,91,107,116],"state":[20,31],"of":[21,66],"evolves":[24],"Markov":[27],"chain.":[28],"observed":[33],"by":[34],"receiver":[36],"and":[37,69,72,96,115],"fed":[38],"back":[39],"to":[40,77],"transmitter":[42,50],"one":[44],"unit":[45],"delay.":[46],"In":[47],"addition,":[48],"gets":[51],"ACK/NACK":[52],"feedback":[53],"for":[54],"successful/unsuccessful":[55],"transmission.":[56],"Using":[57,99],"ideas":[58,100],"from":[59,101],"team":[60],"theory,":[61,103],"we":[62,104],"establish":[63],"structure":[65,114],"optimal":[67,79,108,117],"transmission":[68,109],"strategies":[71,80],"identify":[73],"dynamic":[75],"program":[76],"determine":[78],"that":[82,106],"structure.":[83],"then":[85],"consider":[86],"first-order":[87],"autoregressive":[88],"sources":[89],"noise":[92],"process":[93],"has":[94,111],"unimodal":[95],"symmetric":[97],"distribution.":[98],"majorization":[102],"show":[105],"strategy":[110,119],"threshold":[113],"Kalman-filter":[121],"like.":[122]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}