{"id":"https://openalex.org/W7133308226","doi":"https://doi.org/10.48550/arxiv.2603.01749","title":"Type-Based Unsourced Multiple Access Over Fading Channels in Distributed MIMO With Application to Multi-Target Localization","display_name":"Type-Based Unsourced Multiple Access Over Fading Channels in Distributed MIMO With Application to Multi-Target Localization","publication_year":2026,"publication_date":"2026-03-02","ids":{"openalex":"https://openalex.org/W7133308226","doi":"https://doi.org/10.48550/arxiv.2603.01749"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.01749","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.01749","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.01749","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5096043331","display_name":"Kaan Okumus","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Okumus, Kaan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125391845","display_name":"Khac-Hoang Ngo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ngo, Khac-Hoang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093649980","display_name":"Giuseppe Duris","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Durisi, Giuseppe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5081349499","display_name":"Erik G. Str\u00f6m","orcid":"https://orcid.org/0000-0002-3084-7232"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Str\u00f6m, Erik G.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":null,"last_page":null},"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":0.6470999717712402,"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":0.6470999717712402,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.1949000060558319,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.030799999833106995,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/fading","display_name":"Fading","score":0.8675000071525574},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.5609999895095825},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5471000075340271},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.5019000172615051},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.48010000586509705},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.3970000147819519},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.388700008392334},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.38749998807907104}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.8675000071525574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7056999802589417},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.5609999895095825},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5471000075340271},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.5019000172615051},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.48010000586509705},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.453900009393692},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3970000147819519},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.388700008392334},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.38749998807907104},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.3847000002861023},{"id":"https://openalex.org/C161126049","wikidata":"https://www.wikidata.org/wiki/Q5429266","display_name":"Fading distribution","level":5,"score":0.33959999680519104},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3149999976158142},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.3075000047683716},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C160562895","wikidata":"https://www.wikidata.org/wiki/Q7239557","display_name":"Precoding","level":4,"score":0.2766000032424927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26409998536109924},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.25999999046325684}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.01749","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.01749","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.01749","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.01749","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,41,140],"consider":[1],"the":[2,32,35,59,62,70,87,95,163,176,183,186],"problem":[3],"of":[4,38,72,165,178,185],"type":[5],"estimation":[6],"over":[7,48],"unsourced":[8,21,25],"multiple":[9,22,26],"access":[10,27],"fading":[11,54,84],"channels":[12,52],"in":[13,56,124],"distributed":[14,112,130],"multiple-input":[15],"multiple-output":[16],"(D-MIMO)":[17],"systems.":[18],"Unlike":[19],"classical":[20],"access,":[23],"type-based":[24],"(TUMA)":[28],"aims":[29],"to":[30,53,133,157,168,181],"estimate":[31],"type,":[33],"i.e.,":[34],"empirical":[36],"distribution":[37],"transmitted":[39],"messages.":[40],"extend":[42],"our":[43],"prior":[44],"work":[45],"on":[46,94,162,175],"TUMA":[47,120],"additive":[49],"white":[50],"Gaussian":[51],"scenarios":[55],"which":[57],"neither":[58],"transmitters":[60],"nor":[61],"receiver":[63,136],"have":[64],"channel":[65],"state":[66],"information.":[67],"To":[68],"mitigate":[69],"impact":[71],"path-loss":[73],"variability,":[74],"we":[75,117],"employ":[76],"location-based":[77],"codebook":[78],"partitioning:":[79],"users":[80],"with":[81,150],"similar":[82],"large-scale":[83],"coefficients":[85],"use":[86,155],"same":[88],"codebook.":[89],"The":[90],"decoder":[91],"is":[92],"built":[93],"multisource":[96],"approximate":[97],"message":[98],"passing":[99],"algorithm":[100],"proposed":[101],"by":[102],"Cakmak":[103],"et":[104],"al.":[105],"(2025),":[106],"and":[107,111,154],"supports":[108],"both":[109],"centralized":[110],"implementations.":[113],"As":[114],"an":[115],"application,":[116],"demonstrate":[118],"how":[119,159],"enables":[121],"efficient":[122],"communication":[123],"a":[125,134,142,151],"multi-target":[126],"localization":[127,148],"setting,":[128],"where":[129],"sensors":[131],"report":[132],"D-MIMO":[135],"quantized":[137],"target":[138],"positions.":[139],"propose":[141],"performance":[143,160],"cost":[144],"function":[145],"that":[146],"combines":[147],"errors":[149],"misdetection":[152],"penalty,":[153],"it":[156],"characterize":[158],"depends":[161],"fraction":[164],"resources":[166],"assigned":[167],"sensing":[169],"vs.":[170],"communication,":[171],"as":[172,174],"well":[173],"number":[177],"bits":[179],"used":[180],"quantize":[182],"positions":[184],"targets.":[187]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-04T00:00:00"}
