{"id":"https://openalex.org/W4225540194","doi":"https://doi.org/10.1109/globecom46510.2021.9685271","title":"Decentralized Linear MMSE Equalizer Under Colored Noise for Massive MIMO Systems","display_name":"Decentralized Linear MMSE Equalizer Under Colored Noise for Massive MIMO Systems","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4225540194","doi":"https://doi.org/10.1109/globecom46510.2021.9685271"},"language":"en","primary_location":{"id":"doi:10.1109/globecom46510.2021.9685271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685271","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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/A5058559599","display_name":"Xiaotong Zhao","orcid":"https://orcid.org/0000-0003-4870-8588"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaotong Zhao","raw_affiliation_strings":["Tongji University,School of Software Engineering,Shanghai,China","School of Software Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University,School of Software Engineering,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101759638","display_name":"Xin Guan","orcid":"https://orcid.org/0000-0003-0706-1730"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Guan","raw_affiliation_strings":["Tongji University,School of Software Engineering,Shanghai,China","School of Software Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University,School of Software Engineering,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100756889","display_name":"Mian Li","orcid":"https://orcid.org/0009-0001-2016-3654"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mian Li","raw_affiliation_strings":["The Chinese University of Hong Kong,Guangdong Provincial Key Laboratory of Big Data Computing,Shenzhen,China","Shenzhen Research Institute of Big Data, Shenzhen, China","Guangdong Provincial Key Laboratory of Big Data Computing, The Chinese University of Hong Kong, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Guangdong Provincial Key Laboratory of Big Data Computing,Shenzhen,China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Shenzhen, China","institution_ids":["https://openalex.org/I4210099586"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Big Data Computing, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059252324","display_name":"Qingjiang Shi","orcid":"https://orcid.org/0000-0003-0507-9080"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingjiang Shi","raw_affiliation_strings":["Tongji University,School of Software Engineering,Shanghai,China","Shenzhen Research Institute of Big Data, Shenzhen, China","School of Software Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University,School of Software Engineering,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Shenzhen, China","institution_ids":["https://openalex.org/I4210099586"]},{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058559599"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":3.4619,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.94819628,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"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":0.9998000264167786,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/baseband","display_name":"Baseband","score":0.8898040056228638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7131228446960449},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.7041066884994507},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.7025079131126404},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.6539278030395508},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.5556822419166565},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5150556564331055},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.45259806513786316},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44040369987487793},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.37486332654953003},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.362983763217926},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3214213252067566},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2420271635055542},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1951291859149933},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1709454357624054},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.1565641462802887},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12542331218719482},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.11616405844688416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07184857130050659},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.0652889609336853}],"concepts":[{"id":"https://openalex.org/C65165936","wikidata":"https://www.wikidata.org/wiki/Q575784","display_name":"Baseband","level":3,"score":0.8898040056228638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7131228446960449},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.7041066884994507},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.7025079131126404},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.6539278030395508},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.5556822419166565},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5150556564331055},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.45259806513786316},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44040369987487793},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.37486332654953003},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.362983763217926},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3214213252067566},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2420271635055542},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1951291859149933},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1709454357624054},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.1565641462802887},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12542331218719482},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.11616405844688416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07184857130050659},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0652889609336853},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom46510.2021.9685271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685271","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6800000071525574,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1499137793","https://openalex.org/W1499687860","https://openalex.org/W1518945650","https://openalex.org/W1603765807","https://openalex.org/W2094655360","https://openalex.org/W2142238976","https://openalex.org/W2915222977","https://openalex.org/W2963278460","https://openalex.org/W2963290381","https://openalex.org/W2963845287","https://openalex.org/W2975479544","https://openalex.org/W2999528193","https://openalex.org/W3013324099","https://openalex.org/W4300549156","https://openalex.org/W6759109203"],"related_works":["https://openalex.org/W4319777790","https://openalex.org/W1974392290","https://openalex.org/W2101617851","https://openalex.org/W3103566292","https://openalex.org/W2074565401","https://openalex.org/W2062416811","https://openalex.org/W2907064592","https://openalex.org/W1607924090","https://openalex.org/W2062675820","https://openalex.org/W3093327599"],"abstract_inverted_index":{"Conventional":[0],"uplink":[1,49,67],"equalization":[2,73],"in":[3,75,105],"massive":[4],"MIMO":[5],"systems":[6],"relies":[7],"on":[8],"a":[9],"centralized":[10,23],"baseband":[11,24,44,80],"processing":[12,25,45,81],"architecture.":[13],"However,":[14],"as":[15],"the":[16,31,36,55,76,95,112],"number":[17],"of":[18],"base":[19],"station":[20],"antenna":[21],"increases,":[22],"architectures":[26],"encounter":[27],"two":[28],"bot-tlenecks,":[29],"i.e.,":[30],"tremendous":[32],"data":[33],"interconnection":[34],"and":[35,107],"high-dimensional":[37],"computation.":[38],"To":[39],"tackle":[40],"these":[41],"obstacles,":[42],"decentralized":[43,79],"was":[46],"proposed":[47],"for":[48],"equalization,":[50],"but":[51],"only":[52],"applicable":[53],"to":[54],"scenarios":[56],"with":[57],"unpractical":[58],"white":[59],"Gaussian":[60],"noise":[61,85],"assumption.":[62,86],"This":[63],"paper":[64],"presents":[65],"an":[66],"linear":[68],"mini-mum":[69],"mean-square":[70],"error":[71],"(L-MMSE)":[72],"method":[74],"daisy":[77],"chain":[78],"architecture":[82],"under":[83],"colored":[84],"The":[87],"optimized":[88],"L-MMSE":[89],"equalizer":[90],"is":[91],"derived":[92],"by":[93],"exploiting":[94],"block":[96],"coordinate":[97],"descent":[98],"method,":[99],"which":[100],"shows":[101],"near-optimal":[102],"performance":[103],"both":[104],"theoretical":[106],"simulation":[108],"while":[109],"significantly":[110],"mitigating":[111],"bottlenecks.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-01-11T23:08:45.486102","created_date":"2025-10-10T00:00:00"}