{"id":"https://openalex.org/W4401694204","doi":"https://doi.org/10.1109/isit57864.2024.10619527","title":"Task-Based Quantizer Design for Sensing With Random Signals","display_name":"Task-Based Quantizer Design for Sensing With Random Signals","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4401694204","doi":"https://doi.org/10.1109/isit57864.2024.10619527"},"language":"en","primary_location":{"id":"doi:10.1109/isit57864.2024.10619527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit57864.2024.10619527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Information Theory (ISIT)","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/A5106605860","display_name":"Hang Ruan","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Ruan","raw_affiliation_strings":["School of System Design and Intelligent Manufacturing, Southern University of Science and Technology,Shenzhen,China,518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of System Design and Intelligent Manufacturing, Southern University of Science and Technology,Shenzhen,China,518055","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100371024","display_name":"Fan Liu","orcid":"https://orcid.org/0000-0001-8746-9845"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Liu","raw_affiliation_strings":["School of System Design and Intelligent Manufacturing, Southern University of Science and Technology,Shenzhen,China,518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of System Design and Intelligent Manufacturing, Southern University of Science and Technology,Shenzhen,China,518055","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1806","last_page":"1811"},"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":0.9391999840736389,"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":0.9391999840736389,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7153942584991455},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6366271376609802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4048343896865845},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11667749285697937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7153942584991455},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6366271376609802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4048343896865845},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11667749285697937},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit57864.2024.10619527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit57864.2024.10619527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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":15,"referenced_works":["https://openalex.org/W1832379062","https://openalex.org/W2113158412","https://openalex.org/W2119163179","https://openalex.org/W2119456443","https://openalex.org/W2293423476","https://openalex.org/W2900845709","https://openalex.org/W3163252430","https://openalex.org/W3194620979","https://openalex.org/W3200820186","https://openalex.org/W4212888567","https://openalex.org/W4229574485","https://openalex.org/W4254197176","https://openalex.org/W4296708208","https://openalex.org/W4387918002","https://openalex.org/W4400578730"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"In":[0,33],"integrated":[1],"sensing":[2,30,41,56,74,106,170,188],"and":[3,76,99,139],"communication":[4,54],"(ISAC)":[5],"systems,":[6,55],"random":[7,64,125],"signaling":[8],"is":[9],"employed":[10],"to":[11,18,61,123,149,182],"convey":[12],"useful":[13],"information":[14],"as":[15,17],"well":[16],"sense":[19],"the":[20,116,119,124,133,151,154,161,173,183],"environment.":[21],"Such":[22],"randomness":[23],"poses":[24],"challenges":[25],"in":[26,42,50,57,153,167],"various":[27],"components":[28],"of":[29,93,169],"signal":[31,126],"processing.":[32],"this":[34],"paper,":[35],"we":[36,79],"investigate":[37],"quantizer":[38,94,120],"design":[39],"for":[40,47,136],"ISAC":[43,58],"systems.":[44],"Unlike":[45],"quantizers":[46,135,163,166],"channel":[48],"estimation":[49],"massive":[51],"multiple-in-multiple-out":[52],"(MIMO)":[53],"systems":[59],"need":[60],"deal":[62],"with":[63,85,108,121],"non-orthogonal":[65],"transmitted":[66],"signals":[67],"rather":[68],"than":[69],"fixed":[70],"orthogonal":[71],"pilots.":[72],"Considering":[73],"performance":[75,107],"hardware":[77,114],"implementation,":[78],"focus":[80],"on":[81,144],"task-based":[82],"hardware-limited":[83],"quantization":[84],"spatial":[86],"analog":[87],"combining.":[88],"We":[89,131],"propose":[90],"two":[91],"strategies":[92,138],"optimization,":[95],"i.e.,":[96],"data-dependent":[97],"(DD)":[98],"data-independent":[100],"(DI).":[101],"The":[102],"former":[103],"achieves":[104,186],"optimized":[105,162],"high":[109],"implementation":[110],"overhead.":[111],"To":[112],"reduce":[113],"complexity,":[115],"latter":[117],"optimizes":[118],"respect":[122],"from":[127],"a":[128],"stochastic":[129],"perspective.":[130],"derive":[132],"optimal":[134],"both":[137],"formulate":[140],"an":[141],"algorithm":[142],"based":[143],"sample":[145],"average":[146],"approximation":[147],"(SAA)":[148],"solve":[150],"optimization":[152],"DI":[155,174],"strategy.":[156],"Numerical":[157],"results":[158],"show":[159],"that":[160],"outperform":[164],"digital-only":[165],"terms":[168],"performance.":[171,189],"Additionally,":[172],"strategy,":[175,185],"despite":[176],"its":[177],"lower":[178],"computational":[179],"complexity":[180],"compared":[181],"DD":[184],"near-optimal":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
