{"id":"https://openalex.org/W2466484593","doi":"https://doi.org/10.1109/vtcspring.2016.7504145","title":"Bayesian Channel Estimation for Massive MIMO Communications","display_name":"Bayesian Channel Estimation for Massive MIMO Communications","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2466484593","doi":"https://doi.org/10.1109/vtcspring.2016.7504145","mag":"2466484593"},"language":"en","primary_location":{"id":"doi:10.1109/vtcspring.2016.7504145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2016.7504145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 83rd Vehicular Technology Conference (VTC Spring)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5003436317","display_name":"Chengzhi Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengzhi Zhu","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, P. R. China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073676200","display_name":"Zhitan Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhitan Zheng","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, P. R. China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077488891","display_name":"Bin Jiang","orcid":"https://orcid.org/0000-0002-6291-5869"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Jiang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, P. R. China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006938634","display_name":"Wen Zhong","orcid":"https://orcid.org/0000-0002-7957-7237"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Zhong","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, P. R. China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050692023","display_name":"Xiqi Gao","orcid":"https://orcid.org/0000-0001-9107-6593"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiqi Gao","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, P. R. China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":1.2109,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72866411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","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":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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9994000196456909,"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":0.9987000226974487,"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/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.684633731842041},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6782435178756714},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.6361010074615479},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6205946803092957},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.6137408018112183},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6022272109985352},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5834543704986572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5783116817474365},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.5093733072280884},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.49894237518310547},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.48758620023727417},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.44631701707839966},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35366272926330566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3389033377170563},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33418869972229004},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.18598735332489014},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.14414212107658386},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1369202733039856}],"concepts":[{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.684633731842041},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6782435178756714},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.6361010074615479},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6205946803092957},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.6137408018112183},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6022272109985352},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5834543704986572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5783116817474365},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.5093733072280884},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.49894237518310547},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.48758620023727417},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.44631701707839966},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35366272926330566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3389033377170563},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33418869972229004},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.18598735332489014},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.14414212107658386},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1369202733039856},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcspring.2016.7504145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2016.7504145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 83rd Vehicular Technology Conference (VTC Spring)","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":26,"referenced_works":["https://openalex.org/W262820864","https://openalex.org/W599135353","https://openalex.org/W1997834106","https://openalex.org/W2001715686","https://openalex.org/W2018322127","https://openalex.org/W2018731202","https://openalex.org/W2026933032","https://openalex.org/W2028574566","https://openalex.org/W2125716579","https://openalex.org/W2137813581","https://openalex.org/W2138706041","https://openalex.org/W2140577326","https://openalex.org/W2141682101","https://openalex.org/W2142015064","https://openalex.org/W2147035723","https://openalex.org/W2147584524","https://openalex.org/W2147601077","https://openalex.org/W2149117519","https://openalex.org/W2163599171","https://openalex.org/W3098350033","https://openalex.org/W3100706365","https://openalex.org/W3105033759","https://openalex.org/W3133603318","https://openalex.org/W3188818167","https://openalex.org/W4205533812","https://openalex.org/W6786022713"],"related_works":["https://openalex.org/W1583991000","https://openalex.org/W2788344745","https://openalex.org/W2062336688","https://openalex.org/W2910677864","https://openalex.org/W1489099099","https://openalex.org/W2886934452","https://openalex.org/W2024369332","https://openalex.org/W1974955043","https://openalex.org/W2128974921","https://openalex.org/W2353410620"],"abstract_inverted_index":{"In":[0],"this":[1,114],"paper,":[2],"we":[3],"derive":[4],"the":[5,30,38,47,52,55,66,72,85,104,110,121],"Bayes-Optimal":[6],"estimator":[7],"based":[8,124],"on":[9,125],"approximate":[10],"message":[11],"passing":[12],"(AMP)":[13],"algorithm":[14,57,69,99,115],"in":[15,35,61,113],"massive":[16],"multiple-input":[17],"multiple-output":[18],"(MIMO)":[19],"systems,":[20],"which":[21,64],"requires":[22],"statistical":[23,50,73],"channel":[24,33],"state":[25],"information":[26],"(CSI).":[27],"According":[28],"to":[29,70,118],"analysis":[31],"of":[32,49,54,109,120],"model":[34],"beam":[36],"domain,":[37],"covariance":[39],"matrix":[40],"is":[41,116],"derived":[42],"for":[43],"CSI":[44],"acquisition.":[45],"With":[46],"aid":[48],"CSI,":[51],"convergence":[53,94],"proposed":[56],"has":[58],"significant":[59],"improvement":[60],"comparison":[62],"with":[63],"use":[65],"expectation-maximization":[67],"(EM)":[68],"fit":[71],"CSI.":[74],"Simulations":[75],"show":[76],"great":[77],"mean":[78],"squared":[79],"error":[80],"(MSE)":[81],"performance":[82,95,108],"that":[83,107,119],"approximates":[84],"Minimum":[86],"Mean":[87],"Square":[88],"Error":[89],"(MMSE)":[90],"estimator,":[91],"and":[92],"better":[93],"than":[96],"other":[97],"AMP":[98],"can":[100],"be":[101],"achieved.":[102],"Besides,":[103],"results":[105],"prove":[106],"random":[111],"pilot":[112,123],"close":[117],"orthogonal":[122],"Zadoff-Chu":[126],"sequences.":[127]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}