{"id":"https://openalex.org/W4414432580","doi":"https://doi.org/10.1109/twc.2025.3610347","title":"Covariance-Based Device Activity Detection With Massive MIMO for Near-Field Correlated Channels","display_name":"Covariance-Based Device Activity Detection With Massive MIMO for Near-Field Correlated Channels","publication_year":2025,"publication_date":"2025-09-23","ids":{"openalex":"https://openalex.org/W4414432580","doi":"https://doi.org/10.1109/twc.2025.3610347"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2025.3610347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2025.3610347","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-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/A5048590247","display_name":"Ziyue Wang","orcid":"https://orcid.org/0009-0006-8941-6169"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210120485","display_name":"Academy of Mathematics and Systems Science","ror":"https://ror.org/02jkmyk67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210120485"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyue Wang","raw_affiliation_strings":["State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China","Academy of Mathematics and Systems Science, State Key Laboratory of Mathematical Sciences, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-8941-6169","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210120485","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Academy of Mathematics and Systems Science, State Key Laboratory of Mathematical Sciences, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210120485","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100421710","display_name":"Yang Li","orcid":"https://orcid.org/0000-0003-1112-057X"},"institutions":[{"id":"https://openalex.org/I4396570619","display_name":"Great Bay University","ror":"https://ror.org/01hdgge16","country_code":null,"type":"education","lineage":["https://openalex.org/I4396570619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["School of Computing and Information Technology, Great Bay University, Dongguan, China"],"raw_orcid":"https://orcid.org/0000-0003-1112-057X","affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, Great Bay University, Dongguan, China","institution_ids":["https://openalex.org/I4396570619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020753840","display_name":"Ya\u2010Feng Liu","orcid":"https://orcid.org/0000-0002-9684-9150"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya-Feng Liu","raw_affiliation_strings":["Ministry of Education Key Laboratory of Mathematics and Information Networks, School of Mathematical Sciences, Beijing University of Posts and Telecommunications, Beijing, China","School of Mathematical Sciences, Ministry of Education Key Laboratory of Mathematics and Information Networks, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9684-9150","affiliations":[{"raw_affiliation_string":"Ministry of Education Key Laboratory of Mathematics and Information Networks, School of Mathematical Sciences, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Mathematical Sciences, Ministry of Education Key Laboratory of Mathematics and Information Networks, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100687838","display_name":"Junjie Ma","orcid":"https://orcid.org/0000-0003-1263-5006"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210120485","display_name":"Academy of Mathematics and Systems Science","ror":"https://ror.org/02jkmyk67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210120485"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Ma","raw_affiliation_strings":["State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China","Academy of Mathematics and Systems Science, State Key Laboratory of Mathematical Sciences, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1263-5006","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210120485","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Academy of Mathematics and Systems Science, State Key Laboratory of Mathematical Sciences, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210120485","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5278,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83474356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"25","issue":null,"first_page":"4326","last_page":"4342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10022","display_name":"Semiconductor Quantum Structures and Devices","score":0.9645000100135803,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10022","display_name":"Semiconductor Quantum Structures and Devices","score":0.9645000100135803,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10187","display_name":"Radio Frequency Integrated Circuit Design","score":0.9513999819755554,"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9437000155448914,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/uncorrelated","display_name":"Uncorrelated","score":0.7028999924659729},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.5859000086784363},{"id":"https://openalex.org/keywords/rician-fading","display_name":"Rician fading","score":0.5605999827384949},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5525000095367432},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.5141000151634216},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.4521999955177307},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4129999876022339},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.412200003862381},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.39489999413490295}],"concepts":[{"id":"https://openalex.org/C169345407","wikidata":"https://www.wikidata.org/wiki/Q8216221","display_name":"Uncorrelated","level":2,"score":0.7028999924659729},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6611999869346619},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.5859000086784363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5734000205993652},{"id":"https://openalex.org/C60472773","wikidata":"https://www.wikidata.org/wiki/Q7331156","display_name":"Rician fading","level":4,"score":0.5605999827384949},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5525000095367432},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.5141000151634216},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.4521999955177307},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4129999876022339},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.412200003862381},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.39489999413490295},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.3384000062942505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3334999978542328},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.33169999718666077},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.33009999990463257},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.32359999418258667},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.31360000371932983},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.30720001459121704},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.2630999982357025},{"id":"https://openalex.org/C500300565","wikidata":"https://www.wikidata.org/wiki/Q925667","display_name":"Computer simulation","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2025.3610347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2025.3610347","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2542152863","display_name":null,"funder_award_id":"62571526","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3553588891","display_name":null,"funder_award_id":"12021001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6721429348","display_name":null,"funder_award_id":"2025A1515011658","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8515280332","display_name":null,"funder_award_id":"12371314","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8533620077","display_name":null,"funder_award_id":"12288201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W2000769684","https://openalex.org/W2115141757","https://openalex.org/W2152279006","https://openalex.org/W2174469529","https://openalex.org/W2422021507","https://openalex.org/W2706056020","https://openalex.org/W2784331297","https://openalex.org/W2811365745","https://openalex.org/W2890736047","https://openalex.org/W2920228847","https://openalex.org/W2961179947","https://openalex.org/W2963116117","https://openalex.org/W2981917204","https://openalex.org/W3003509468","https://openalex.org/W3010632924","https://openalex.org/W3080804940","https://openalex.org/W3089248281","https://openalex.org/W3120440980","https://openalex.org/W3130880460","https://openalex.org/W3133759829","https://openalex.org/W3154741957","https://openalex.org/W3161432870","https://openalex.org/W3178346894","https://openalex.org/W3197124993","https://openalex.org/W3200992440","https://openalex.org/W3206148293","https://openalex.org/W4200630525","https://openalex.org/W4214943862","https://openalex.org/W4221155763","https://openalex.org/W4248709896","https://openalex.org/W4285412026","https://openalex.org/W4290715637","https://openalex.org/W4295789396","https://openalex.org/W4312243043","https://openalex.org/W4312305043","https://openalex.org/W4312701615","https://openalex.org/W4312922447","https://openalex.org/W4321021207","https://openalex.org/W4385885073","https://openalex.org/W4387068006","https://openalex.org/W4388426815","https://openalex.org/W4388469810","https://openalex.org/W4389076530","https://openalex.org/W4391014845","https://openalex.org/W4391164391","https://openalex.org/W4391421140","https://openalex.org/W4391467964","https://openalex.org/W4392843733","https://openalex.org/W4394744873","https://openalex.org/W4396790117","https://openalex.org/W4399801390","https://openalex.org/W4400111417","https://openalex.org/W4401567372","https://openalex.org/W4401747439","https://openalex.org/W4402979687","https://openalex.org/W4403722103","https://openalex.org/W4408325451","https://openalex.org/W4414117902","https://openalex.org/W4414432580"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,29,35,40,48,58,72,77,89,93,98,107,130,136,150,154,164,174,185,194,237,241,252,256,261,264],"device":[4,59,243],"activity":[5,60,244],"detection":[6,61,151,195,247],"problem":[7,62,156],"in":[8,240],"a":[9,64,122],"massive":[10],"multiple-input":[11],"multiple-output":[12],"(MIMO)":[13],"system":[14],"for":[15,105],"near-field":[16,49],"communications":[17],"(NFC).":[18],"In":[19,43],"this":[20,44],"system,":[21],"active":[22,36],"devices":[23,37,178],"transmit":[24],"their":[25],"signature":[26,186],"sequences":[27],"to":[28,71,117,203],"base":[30],"station":[31],"(BS),":[32],"which":[33,110,133],"detects":[34],"based":[38],"on":[39],"received":[41],"signal.":[42],"paper,":[45],"we":[46,96,148,235],"model":[47,239],"channels":[50,55,80,159,201,229],"as":[51,63],"correlated":[52,118,158,200,232],"Rician":[53],"fading":[54],"and":[56,85,139,144,245,259],"formulate":[57],"maximum":[65],"likelihood":[66],"estimation":[67],"(MLE)":[68],"problem.":[69,91],"Compared":[70],"traditional":[73],"uncorrelated":[74,167,209,228],"channel":[75],"model,":[76],"correlation":[78],"of":[79,88,153,166,177,197,255,263],"complicates":[81],"both":[82,141],"algorithm":[83,104,127],"design":[84],"theoretical":[86],"analysis":[87,170],"MLE":[90,108,155,198,224,238],"On":[92],"algorithmic":[94],"side,":[95],"present":[97],"classical":[99],"exact":[100],"coordinate":[101],"descent":[102],"(CD)":[103],"solving":[106],"problem,":[109],"suffers":[111],"from":[112],"numerical":[113,145],"instability":[114],"when":[115,173,212],"applied":[116],"channels.":[119,168,210],"We":[120],"propose":[121],"computationally":[123],"efficient":[124],"inexact":[125],"CD":[126],"by":[128,160],"approximating":[129],"objective":[131],"function,":[132],"approximately":[134],"solves":[135],"one-dimensional":[137],"subproblem":[138],"improves":[140],"computational":[142,253],"efficiency":[143],"stability.":[146],"Additionally,":[147],"analyze":[149],"performance":[152,196,254],"under":[157,199,208,227,231],"comparing":[161],"it":[162],"with":[163],"case":[165],"The":[169],"shows":[171],"that":[172,207],"overall":[175],"number":[176],"<italic":[179,189,213,219],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[180,190,214,220],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">N</i>":[181,215],"is":[182,192,216,222],"large":[183],"or":[184,218],"sequence":[187],"length":[188],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">L</i>":[191,221],"small,":[193],"tends":[202],"be":[204],"better":[205,226],"than":[206,230],"Conversely,":[211],"small":[217],"large,":[223],"performs":[225],"ones.":[233],"Finally,":[234],"study":[236],"joint":[242],"data":[246],"context.":[248],"Simulation":[249],"results":[250],"demonstrate":[251],"presented":[257],"algorithms":[258],"verify":[260],"correctness":[262],"analysis.":[265]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}