{"id":"https://openalex.org/W2996891252","doi":"https://doi.org/10.1109/latincom48065.2019.8937874","title":"Performance Analysis of Large-Scale MU-MIMO with a Simple and Effective Channel Estimator","display_name":"Performance Analysis of Large-Scale MU-MIMO with a Simple and Effective Channel Estimator","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2996891252","doi":"https://doi.org/10.1109/latincom48065.2019.8937874","mag":"2996891252"},"language":"en","primary_location":{"id":"doi:10.1109/latincom48065.2019.8937874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom48065.2019.8937874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","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/A5017715993","display_name":"Felipe A. P. de Figueiredo","orcid":"https://orcid.org/0000-0002-2167-7286"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Felipe A.P. de Figueiredo","raw_affiliation_strings":["DECOM/FEEC-State University of Campinas (UNICAMP), Campinas, Brazil"],"affiliations":[{"raw_affiliation_string":"DECOM/FEEC-State University of Campinas (UNICAMP), Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018742105","display_name":"Cl\u00e1udio Ferreira Dias","orcid":"https://orcid.org/0000-0003-0490-3330"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Claudio F. Dias","raw_affiliation_strings":["DECOM/FEEC-State University of Campinas (UNICAMP), Campinas, Brazil"],"affiliations":[{"raw_affiliation_string":"DECOM/FEEC-State University of Campinas (UNICAMP), Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051507029","display_name":"Eduardo Rodrigues de Lima","orcid":"https://orcid.org/0000-0003-4268-9726"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eduardo R. de Lima","raw_affiliation_strings":["Eldorado Research Institute, Campinas, Brazil"],"affiliations":[{"raw_affiliation_string":"Eldorado Research Institute, Campinas, Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068648984","display_name":"Gustavo Fraidenraich","orcid":"https://orcid.org/0000-0002-0517-1496"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gustavo Fraidenraich","raw_affiliation_strings":["DECOM/FEEC-State University of Campinas (UNICAMP), Campinas, Brazil"],"affiliations":[{"raw_affiliation_string":"DECOM/FEEC-State University of Campinas (UNICAMP), Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017715993"],"corresponding_institution_ids":["https://openalex.org/I181391015"],"apc_list":null,"apc_paid":null,"fwci":0.1192,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49167175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"54","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":1.0,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":1.0,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9990000128746033,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9987000226974487,"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/estimator","display_name":"Estimator","score":0.852718710899353},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.8236657977104187},{"id":"https://openalex.org/keywords/spectral-efficiency","display_name":"Spectral efficiency","score":0.6206328272819519},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.6085854172706604},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5982324481010437},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5818015933036804},{"id":"https://openalex.org/keywords/efficient-estimator","display_name":"Efficient estimator","score":0.5072850584983826},{"id":"https://openalex.org/keywords/noise-power","display_name":"Noise power","score":0.5039636492729187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4479059875011444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43016931414604187},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.429778516292572},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.408551424741745},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.39242643117904663},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3413187265396118},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.23881587386131287},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16475966572761536},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10975053906440735}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.852718710899353},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.8236657977104187},{"id":"https://openalex.org/C137246740","wikidata":"https://www.wikidata.org/wiki/Q583970","display_name":"Spectral efficiency","level":3,"score":0.6206328272819519},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.6085854172706604},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5982324481010437},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5818015933036804},{"id":"https://openalex.org/C35594927","wikidata":"https://www.wikidata.org/wiki/Q2265984","display_name":"Efficient estimator","level":4,"score":0.5072850584983826},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.5039636492729187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4479059875011444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43016931414604187},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.429778516292572},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.408551424741745},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.39242643117904663},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3413187265396118},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.23881587386131287},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16475966572761536},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10975053906440735},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/latincom48065.2019.8937874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom48065.2019.8937874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:8641609","is_oa":false,"landing_page_url":"https://biblio.ugent.be/publication/8641609","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","raw_type":"conference"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W250076511","https://openalex.org/W1518945650","https://openalex.org/W1525535255","https://openalex.org/W1913431666","https://openalex.org/W2116141601","https://openalex.org/W2121315337","https://openalex.org/W2147601077","https://openalex.org/W2238937638","https://openalex.org/W2393478743","https://openalex.org/W2539198515","https://openalex.org/W2550169634","https://openalex.org/W2770606349","https://openalex.org/W2778443802","https://openalex.org/W2783190582","https://openalex.org/W2790139930","https://openalex.org/W2917231889","https://openalex.org/W2963673880","https://openalex.org/W3101655482","https://openalex.org/W3112681748","https://openalex.org/W3124700966","https://openalex.org/W4245958155"],"related_works":["https://openalex.org/W2349547417","https://openalex.org/W2910434125","https://openalex.org/W2356451205","https://openalex.org/W3092888124","https://openalex.org/W1984619412","https://openalex.org/W2801374849","https://openalex.org/W2036535888","https://openalex.org/W4239491110","https://openalex.org/W2035998077","https://openalex.org/W2008532365"],"abstract_inverted_index":{"Accurate":[0],"channel":[1,33,45,63,106,125],"estimation":[2],"is":[3],"of":[4,59,73,84,96],"utmost":[5],"importance":[6],"for":[7,35],"massive":[8,37],"MIMO":[9,38],"systems":[10,39],"that":[11,112],"allow":[12],"providing":[13],"significant":[14],"improvements":[15],"in":[16,103],"spectral":[17,27,94],"and":[18,30,65],"energy":[19],"efficiency.":[20],"In":[21],"this":[22],"work,":[23],"we":[24,88],"investigate":[25],"the":[26,60,71,82,97,104,113,118],"efficiency":[28,95],"performance":[29,72,116],"present":[31],"a":[32,74,90],"estimator":[34,46,69,115,126],"multi-cell":[36],"subjected":[40],"to":[41,51],"pilot-contamination.":[42],"The":[43,68,108],"proposed":[44,105,114],"performs":[47],"well":[48],"under":[49],"moderate":[50],"aggressive":[52],"pilot":[53],"contamination":[54],"scenarios":[55],"without":[56],"prior":[57],"knowledge":[58],"inter-cell":[61],"large-scale":[62],"coefficients":[64],"noise":[66],"power.":[67],"approximates":[70],"linear":[75,119],"Minimum":[76],"Mean":[77],"Square":[78],"Error":[79],"(MMSE)":[80],"as":[81],"number":[83],"antennas":[85],"increases.":[86],"Following,":[87],"derive":[89],"lower":[91],"bound":[92],"closed-form":[93],"Maximum":[98],"Ratio":[99],"Combining":[100],"(MRC)":[101],"detector":[102],"estimator.":[107],"simulation":[109],"results":[110],"highlight":[111],"approaches":[117],"minimum":[120],"mean":[121],"square":[122],"error":[123],"(LMMSE)":[124],"asymptotically.":[127]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
