{"id":"https://openalex.org/W4415367752","doi":"https://doi.org/10.1109/isit63088.2025.11195305","title":"Rate Distortion Approach to Joint Communication and Sensing with Markov States: Open Loop Case","display_name":"Rate Distortion Approach to Joint Communication and Sensing with Markov States: Open Loop Case","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4415367752","doi":"https://doi.org/10.1109/isit63088.2025.11195305"},"language":null,"primary_location":{"id":"doi:10.1109/isit63088.2025.11195305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit63088.2025.11195305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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/A5072599141","display_name":"Colton Lindstrom","orcid":"https://orcid.org/0000-0002-3257-3335"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Colton P. Lindstrom","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,Georgia,USA,30332"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,Georgia,USA,30332","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055689993","display_name":"Matthieu R. Bloch","orcid":"https://orcid.org/0000-0001-9315-9050"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthieu R. Bloch","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,Georgia,USA,30332"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,Georgia,USA,30332","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072599141"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":1.6666,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89116075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9945999979972839,"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":0.9945999979972839,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9146000146865845,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9075000286102295,"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/state","display_name":"State (computer science)","score":0.5633000135421753},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.5586000084877014},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5218999981880188},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5210000276565552},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5117999911308289},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4986000061035156},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.49059998989105225},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.45010000467300415},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.41110000014305115},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.3903999924659729}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6162999868392944},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5633000135421753},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.5586000084877014},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5218999981880188},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5210000276565552},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5117999911308289},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4986000061035156},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.49059998989105225},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45010000467300415},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.41110000014305115},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3903999924659729},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.31929999589920044},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.313400000333786},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3019999861717224},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3012999892234802},{"id":"https://openalex.org/C2984679396","wikidata":"https://www.wikidata.org/wiki/Q7602986","display_name":"State dependent","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C161362739","wikidata":"https://www.wikidata.org/wiki/Q2301555","display_name":"Open-loop controller","level":3,"score":0.28929999470710754},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.289000004529953},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.2759000062942505},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.27399998903274536},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.2671000063419342},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.26260000467300415},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.2623000144958496},{"id":"https://openalex.org/C2985963534","wikidata":"https://www.wikidata.org/wiki/Q7603704","display_name":"State information","level":3,"score":0.25459998846054077},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit63088.2025.11195305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit63088.2025.11195305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1836036400","https://openalex.org/W2096985797","https://openalex.org/W2135129768","https://openalex.org/W2164522996","https://openalex.org/W2578029642","https://openalex.org/W2765137961","https://openalex.org/W2769776241","https://openalex.org/W2795059371","https://openalex.org/W2946140005","https://openalex.org/W2969098385","https://openalex.org/W3097762988","https://openalex.org/W3119152637","https://openalex.org/W3155535021","https://openalex.org/W3175374502","https://openalex.org/W3191750312","https://openalex.org/W3194620979","https://openalex.org/W4220879580","https://openalex.org/W4376481083","https://openalex.org/W4379528688","https://openalex.org/W4380905913","https://openalex.org/W4382365081","https://openalex.org/W4383097042","https://openalex.org/W4384788394","https://openalex.org/W4401691995","https://openalex.org/W4401693034","https://openalex.org/W4403182949","https://openalex.org/W4405379402","https://openalex.org/W4409156900"],"related_works":[],"abstract_inverted_index":{"We":[0,53,63,92],"investigate":[1],"a":[2,11,17,21,37,102],"joint":[3],"communication":[4,83],"and":[5,19,85,123],"sensing":[6,61],"(JCAS)":[7],"framework":[8],"in":[9,76],"which":[10],"transmitter":[12],"concurrently":[13],"transmits":[14],"information":[15],"to":[16,33,36,48,101],"receiver":[18],"estimates":[20,43],"state":[22,30,42,51,107],"of":[23,78,89,117],"interest":[24],"based":[25],"on":[26,113],"noisy":[27],"observations.":[28],"The":[29],"is":[31],"assumed":[32],"evolve":[34],"according":[35],"known":[38],"dynamical":[39],"model.":[40],"Past":[41],"may":[44],"then":[45],"be":[46],"used":[47],"inform":[49],"current":[50],"estimates.":[52],"show":[54],"that":[55],"Bayesian":[56],"filtering":[57],"constitutes":[58],"the":[59,79,90,94,99,114],"optimal":[60],"strategy.":[62],"analyze":[64],"JCAS":[65],"performance":[66,116],"under":[67],"an":[68],"open":[69],"loop":[70],"encoding":[71],"strategy":[72],"with":[73,105],"results":[74,110],"presented":[75],"terms":[77],"tradeoff":[80],"between":[81],"asymptotic":[82],"rate":[84],"expected":[86],"per-block":[87],"distortion":[88],"state.":[91],"illustrate":[93],"general":[95],"result":[96],"by":[97],"specializing":[98],"analysis":[100],"beam-pointing":[103],"model":[104],"mobile":[106],"tracking.":[108],"Our":[109],"shed":[111],"light":[112],"relative":[115],"two":[118],"beam":[119],"control":[120],"strategies,":[121],"beam-switching":[122],"multi-beam.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-21T00:00:00"}