{"id":"https://openalex.org/W2781696858","doi":"https://doi.org/10.1109/latincom.2017.8240166","title":"Low-complexity MMSE detector based on refinement Gauss-Seidel method for massive MIMO systems","display_name":"Low-complexity MMSE detector based on refinement Gauss-Seidel method for massive MIMO systems","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2781696858","doi":"https://doi.org/10.1109/latincom.2017.8240166","mag":"2781696858"},"language":"en","primary_location":{"id":"doi:10.1109/latincom.2017.8240166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom.2017.8240166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 9th 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/A5088325835","display_name":"Juan Minango","orcid":"https://orcid.org/0000-0002-2682-8602"},"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":"Juan Minango","raw_affiliation_strings":["School of Electrical and Computer Engineering-FEEC, State University of Campinas - UNICAMP, Campinas, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering-FEEC, State University of Campinas - UNICAMP, Campinas, SP, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048557793","display_name":"Celso de Almeida","orcid":"https://orcid.org/0000-0001-9097-3751"},"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":"Celso de Almeida","raw_affiliation_strings":["School of Electrical and Computer Engineering-FEEC, State University of Campinas - UNICAMP, Campinas, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering-FEEC, State University of Campinas - UNICAMP, Campinas, SP, Brazil","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088325835"],"corresponding_institution_ids":["https://openalex.org/I181391015"],"apc_list":null,"apc_paid":null,"fwci":0.5734,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70932209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","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/T10148","display_name":"Advanced MIMO Systems Optimization","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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9991000294685364,"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/T11946","display_name":"Antenna Design and Optimization","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/mimo","display_name":"MIMO","score":0.7106443643569946},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6848175525665283},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6439533233642578},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.6308677196502686},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6168062090873718},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.6148080825805664},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.583920419216156},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.5373735427856445},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.5368609428405762},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.4738227128982544},{"id":"https://openalex.org/keywords/gauss\u2013seidel-method","display_name":"Gauss\u2013Seidel method","score":0.46982884407043457},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4234766662120819},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2986161708831787},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.25363653898239136},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.22364750504493713},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16501298546791077},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08987763524055481}],"concepts":[{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.7106443643569946},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6848175525665283},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6439533233642578},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.6308677196502686},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6168062090873718},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.6148080825805664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.583920419216156},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.5373735427856445},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.5368609428405762},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.4738227128982544},{"id":"https://openalex.org/C3828260","wikidata":"https://www.wikidata.org/wiki/Q1069090","display_name":"Gauss\u2013Seidel method","level":3,"score":0.46982884407043457},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4234766662120819},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2986161708831787},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.25363653898239136},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.22364750504493713},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16501298546791077},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08987763524055481},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/latincom.2017.8240166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom.2017.8240166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 9th Latin-American Conference on Communications (LATINCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W645781879","https://openalex.org/W1918848090","https://openalex.org/W1987406834","https://openalex.org/W2024705454","https://openalex.org/W2028575156","https://openalex.org/W2043553464","https://openalex.org/W2050170536","https://openalex.org/W2052321444","https://openalex.org/W2065489737","https://openalex.org/W2081274544","https://openalex.org/W2084304524","https://openalex.org/W2128513990","https://openalex.org/W2147601077","https://openalex.org/W2511080939","https://openalex.org/W2535252127","https://openalex.org/W2587515641","https://openalex.org/W2588081979","https://openalex.org/W3099281970","https://openalex.org/W3105013332","https://openalex.org/W3106282754"],"related_works":["https://openalex.org/W2103590590","https://openalex.org/W2048884831","https://openalex.org/W2006807476","https://openalex.org/W2158165366","https://openalex.org/W3195147989","https://openalex.org/W2086942802","https://openalex.org/W2094225089","https://openalex.org/W2421619050","https://openalex.org/W1485892449","https://openalex.org/W2389911070"],"abstract_inverted_index":{"Minimum":[0],"mean":[1],"square":[2],"error":[3,30],"(MMSE)":[4],"linear":[5],"detector":[6,56],"has":[7,48],"been":[8,49],"considered":[9],"as":[10],"one":[11],"of":[12,93,111],"the":[13,27,43,59,72,85,91,97,100,109,112,118],"potential":[14],"detection":[15],"algorithm":[16],"for":[17,51,71],"uplink":[18],"multi-user":[19],"massive":[20],"MIMO":[21],"systems,":[22],"because":[23],"it":[24,35],"can":[25],"achieve":[26],"near-optimal":[28,101],"bit":[29],"rate":[31],"(BER)":[32],"performance.":[33,103],"However,":[34],"involves":[36],"matrix":[37,62,79],"inversion":[38],"with":[39],"high":[40],"complexity.":[41],"Thus,":[42],"conventional":[44,73,119],"Gauss-Seidel":[45],"(GS)":[46],"method":[47,75,114],"applied":[50],"obtain":[52],"a":[53,69],"low-complexity":[54],"MMSE":[55],"without":[57],"employing":[58],"computationally":[60],"intensive":[61],"inversion.":[63],"In":[64],"this":[65],"paper,":[66],"we":[67],"propose":[68],"refinement":[70],"GS":[74,120],"based":[76],"on":[77],"band":[78],"concept":[80],"in":[81,115],"order":[82],"to":[83,117],"accelerate":[84],"convergence":[86],"rate,":[87],"that":[88],"means":[89],"reduce":[90],"number":[92],"iterations":[94],"and":[95,105],"consequently":[96],"complexity,":[98],"guaranteeing":[99],"BER":[102],"Analytical":[104],"numerical":[106],"results":[107],"show":[108],"efficiency":[110],"proposed":[113],"comparison":[116],"method.":[121]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
