{"id":"https://openalex.org/W4387870651","doi":"https://doi.org/10.1109/iccworkshops57953.2023.10283493","title":"Limitations of RIS-Aided Localization: Inspecting the Relationships between Channel Parameters","display_name":"Limitations of RIS-Aided Localization: Inspecting the Relationships between Channel Parameters","publication_year":2023,"publication_date":"2023-05-28","ids":{"openalex":"https://openalex.org/W4387870651","doi":"https://doi.org/10.1109/iccworkshops57953.2023.10283493"},"language":"en","primary_location":{"id":"doi:10.1109/iccworkshops57953.2023.10283493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccworkshops57953.2023.10283493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Communications Workshops (ICC Workshops)","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/A5061891181","display_name":"Don-Roberts Emenonye","orcid":"https://orcid.org/0000-0002-5392-8692"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Don-Roberts Emenonye","raw_affiliation_strings":["Wireless@VT, Virginia Tech,Bradley Department of Electrical and Computer Engineering,Blacksburg,VA,USA,24061"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wireless@VT, Virginia Tech,Bradley Department of Electrical and Computer Engineering,Blacksburg,VA,USA,24061","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064063671","display_name":"Harpreet S. Dhillon","orcid":"https://orcid.org/0000-0003-2829-9449"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harpreet S. Dhillon","raw_affiliation_strings":["Wireless@VT, Virginia Tech,Bradley Department of Electrical and Computer Engineering,Blacksburg,VA,USA,24061"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wireless@VT, Virginia Tech,Bradley Department of Electrical and Computer Engineering,Blacksburg,VA,USA,24061","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025989778","display_name":"R. Michael Buehrer","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Michael Buehrer","raw_affiliation_strings":["Wireless@VT, Virginia Tech,Bradley Department of Electrical and Computer Engineering,Blacksburg,VA,USA,24061"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wireless@VT, Virginia Tech,Bradley Department of Electrical and Computer Engineering,Blacksburg,VA,USA,24061","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3681,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59963596,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1890","last_page":"1895"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9998999834060669,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9994000196456909,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/fisher-information","display_name":"Fisher information","score":0.6927956342697144},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.625720202922821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5788378715515137},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5332690477371216},{"id":"https://openalex.org/keywords/path-loss","display_name":"Path loss","score":0.5060216784477234},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.5040713548660278},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4601711630821228},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.44451698660850525},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3607698678970337},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3528931736946106},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3284328877925873},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30492204427719116},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.27009275555610657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23274412751197815},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17330819368362427}],"concepts":[{"id":"https://openalex.org/C29406490","wikidata":"https://www.wikidata.org/wiki/Q1420659","display_name":"Fisher information","level":2,"score":0.6927956342697144},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.625720202922821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5788378715515137},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5332690477371216},{"id":"https://openalex.org/C194273485","wikidata":"https://www.wikidata.org/wiki/Q1478845","display_name":"Path loss","level":3,"score":0.5060216784477234},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.5040713548660278},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4601711630821228},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.44451698660850525},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3607698678970337},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3528931736946106},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3284328877925873},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30492204427719116},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.27009275555610657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23274412751197815},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17330819368362427},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccworkshops57953.2023.10283493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccworkshops57953.2023.10283493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Communications Workshops (ICC Workshops)","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":13,"referenced_works":["https://openalex.org/W2156668452","https://openalex.org/W3045635192","https://openalex.org/W3099076822","https://openalex.org/W3160109425","https://openalex.org/W3189447947","https://openalex.org/W3192857289","https://openalex.org/W3197614439","https://openalex.org/W3214336245","https://openalex.org/W3214875997","https://openalex.org/W4229706427","https://openalex.org/W4285255953","https://openalex.org/W4367663452","https://openalex.org/W4386264105"],"related_works":["https://openalex.org/W2548963335","https://openalex.org/W2159941915","https://openalex.org/W1995129237","https://openalex.org/W1761601995","https://openalex.org/W4300468626","https://openalex.org/W2904599916","https://openalex.org/W2954705445","https://openalex.org/W2521878878","https://openalex.org/W2349806816","https://openalex.org/W2398398527"],"abstract_inverted_index":{"Reconfigurable":[0],"intelligent":[1],"surface":[2],"(RIS)":[3],"is":[4,133,213],"expected":[5],"to":[6,27,39,142,210],"play":[7],"a":[8,61,144,196,207],"crucial":[9],"role":[10],"in":[11,20,25,112,176,216],"exploiting":[12],"the":[13,32,48,54,58,69,77,81,84,88,92,96,102,107,110,114,122,137,157,163,166,177,181,184,201,211,217],"synergies":[14],"across":[15],"communication,":[16],"localization,":[17],"and":[18,90,105,129,171,186],"sensing":[19],"future":[21],"6G":[22],"networks.":[23],"However,":[24],"order":[26],"effectively":[28],"utilize":[29],"these":[30],"synergies,":[31],"fundamental":[33],"limits":[34],"of":[35,57,60,109,127,161,165,169,174,195],"RIS-aided":[36],"systems":[37],"need":[38],"be":[40,73,190],"better":[41],"understood.":[42],"Inspired":[43],"by":[44,80,87,95],"this,":[45],"we":[46],"derive":[47,101],"Fisher":[49,158],"information":[50,78,85,93,159],"matrix":[51],"(FIM)":[52],"for":[53],"channel":[55],"parameters":[56,125],"downlink":[59],"single-cell":[62],"RIS-assisted":[63],"wireless":[64],"system.":[65],"We":[66,99],"show":[67],"that":[68],"derived":[70],"FIM":[71,104,140],"can":[72,188],"decom-posed":[74],"into":[75],"i)":[76],"provided":[79,86,94],"receiver,":[82],"ii)":[83],"transmitter,":[89],"iii)":[91],"RIS":[97,209],"components.":[98],"also":[100],"Bayesian":[103,138],"study":[106],"impact":[108,132],"uncertainty":[111],"estimating":[113,121],"complex":[115],"path":[116],"gains":[117],"(nuisance":[118],"parameters)":[119],"on":[120],"geometric":[123],"RIS-related":[124],"(angles":[126],"reflection":[128],"incidence).":[130],"This":[131],"analytically":[134],"characterized":[135],"through":[136,200],"equivalent":[139],"(EFIM)":[141],"have":[143],"recognizable":[145],"structure.":[146],"Two":[147],"key":[148],"insights":[149],"are":[150],"obtained":[151],"from":[152,156,204,206],"our":[153],"analysis.":[154],"First,":[155],"point":[160],"view,":[162],"presence":[164],"AoIs":[167,185],"(angle":[168,173],"incidence)":[170],"AoRs":[172,187],"reflection)":[175],"parameter":[178],"vector":[179],"overparameterizes":[180],"model.":[182],"Hence,":[183],"not":[189,214],"separately":[191],"estimated.":[192],"Second,":[193],"localization":[194],"single":[197,208],"antenna":[198],"UE":[199,212],"signals":[202],"received":[203],"reflections":[205],"feasible":[215],"far-field.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
