{"id":"https://openalex.org/W4416513841","doi":"https://doi.org/10.1109/itw62417.2025.11240522","title":"Achievable Rates for State-Dependent Discrete Memoryless Channels With Coded Sensing","display_name":"Achievable Rates for State-Dependent Discrete Memoryless Channels With Coded Sensing","publication_year":2025,"publication_date":"2025-09-29","ids":{"openalex":"https://openalex.org/W4416513841","doi":"https://doi.org/10.1109/itw62417.2025.11240522"},"language":null,"primary_location":{"id":"doi:10.1109/itw62417.2025.11240522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw62417.2025.11240522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Information Theory Workshop (ITW)","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/A5009779733","display_name":"Omkar Mujumdar","orcid":null},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Omkar M. Mujumdar","raw_affiliation_strings":["University of Notre Dame,Dept. of Electrical Engineering,IN,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame,Dept. of Electrical Engineering,IN,USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100360013","display_name":"Wenyi Zhang","orcid":"https://orcid.org/0000-0001-5530-4210"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyi Zhang","raw_affiliation_strings":["University of Science and Technology of China,Dept. of Electronics Eng. and Information Science,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Dept. of Electronics Eng. and Information Science,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076363259","display_name":"J. Nicholas Laneman","orcid":null},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Nicholas Laneman","raw_affiliation_strings":["University of Notre Dame,Dept. of Electrical Engineering,IN,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame,Dept. of Electrical Engineering,IN,USA","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":0.6396999955177307,"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":0.6396999955177307,"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":0.05620000138878822,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.05220000073313713,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7311000227928162},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.6664000153541565},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.6355000138282776},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.5320000052452087},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.531499981880188},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5263000130653381},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5087000131607056},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.49470001459121704},{"id":"https://openalex.org/keywords/channel-code","display_name":"Channel code","score":0.484499990940094},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4677000045776367}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7311000227928162},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.6664000153541565},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.6355000138282776},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5932999849319458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5623000264167786},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5320000052452087},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.531499981880188},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5263000130653381},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5087000131607056},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.49470001459121704},{"id":"https://openalex.org/C166366890","wikidata":"https://www.wikidata.org/wiki/Q602136","display_name":"Channel code","level":3,"score":0.484499990940094},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4677000045776367},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43619999289512634},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.421999990940094},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.3555999994277954},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33489999175071716},{"id":"https://openalex.org/C2984536560","wikidata":"https://www.wikidata.org/wiki/Q818544","display_name":"State estimator","level":3,"score":0.3328000009059906},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.32829999923706055},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.3133000135421753},{"id":"https://openalex.org/C2780186295","wikidata":"https://www.wikidata.org/wiki/Q3305007","display_name":"Dirty paper coding","level":5,"score":0.3009999990463257},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.29580000042915344},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.2863999903202057},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.27160000801086426},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C206468330","wikidata":"https://www.wikidata.org/wiki/Q834373","display_name":"Code rate","level":3,"score":0.25699999928474426},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2547999918460846},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C118437007","wikidata":"https://www.wikidata.org/wiki/Q1017139","display_name":"Hybrid automatic repeat request","level":3,"score":0.2533999979496002},{"id":"https://openalex.org/C32795469","wikidata":"https://www.wikidata.org/wiki/Q5156430","display_name":"Complementary sequences","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itw62417.2025.11240522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw62417.2025.11240522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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":5,"referenced_works":["https://openalex.org/W1990742913","https://openalex.org/W2099111195","https://openalex.org/W2135129768","https://openalex.org/W2135469284","https://openalex.org/W4300840296"],"related_works":[],"abstract_inverted_index":{"We":[0,54],"describe":[1],"a":[2,12,65,99,116],"basic":[3],"single-user":[4],"integrated":[5],"sensing":[6],"and":[7,20,41,76,81],"communication":[8],"(ISAC)":[9],"system,":[10],"considering":[11],"state-dependent":[13],"discrete":[14],"memoryless":[15],"channel":[16,63],"(DMC)":[17],"with":[18],"independent":[19,28],"identically":[21],"distributed":[22],"(iid)":[23],"state":[24,43,86,110],"sequences":[25],"that":[26,36],"are":[27],"of":[29,93,108,122],"the":[30,49,52,56,91,106,109,119],"input":[31],"sequence.":[32,111],"Furthermore,":[33],"we":[34],"assume":[35],"no":[37,42],"feedback":[38],"is":[39,45,88],"present":[40],"information":[44],"available":[46],"to":[47,104],"either":[48],"transmitter":[50],"or":[51],"receiver.":[53],"derive":[55],"highest":[57],"transmission":[58],"rates":[59],"achievable":[60],"for":[61,69],"our":[62],"under":[64],"given":[66],"distortion":[67],"constraint,":[68],"three":[70],"different":[71],"receiver":[72],"schemes:":[73],"simultaneous":[74],"decoding":[75,78],"estimation,":[77,80],"before":[79,83],"estimation":[82],"decoding.":[84],"The":[85,112],"estimator":[87],"based":[89],"on":[90],"idea":[92],"coded":[94],"sensing,":[95],"i.e.,":[96],"it":[97],"uses":[98],"lossy":[100],"source":[101],"coding":[102],"codebook":[103],"determine":[105],"estimate":[107],"results":[113],"hint":[114],"towards":[115],"trade-off":[117],"among":[118],"performance":[120],"limits":[121],"such":[123],"ISAC":[124],"systems.":[125]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-23T00:00:00"}
