{"id":"https://openalex.org/W2918212886","doi":"https://doi.org/10.1145/3290420.3290448","title":"Uplink-aided downlink channel estimation in FDD massive MIMO by variational Bayesian inference","display_name":"Uplink-aided downlink channel estimation in FDD massive MIMO by variational Bayesian inference","publication_year":2018,"publication_date":"2018-11-02","ids":{"openalex":"https://openalex.org/W2918212886","doi":"https://doi.org/10.1145/3290420.3290448","mag":"2918212886"},"language":"en","primary_location":{"id":"doi:10.1145/3290420.3290448","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290420.3290448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Communication and Information Processing","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/A5068818180","display_name":"Wei Lu","orcid":"https://orcid.org/0000-0001-6162-1116"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wei Lu","raw_affiliation_strings":["Air Force Early Warning Academy, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Air Force Early Warning Academy, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431061","display_name":"Yongliang Wang","orcid":"https://orcid.org/0000-0003-3887-9500"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongliang Wang","raw_affiliation_strings":["Air Force Early Warning Academy, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Air Force Early Warning Academy, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058024618","display_name":"Xiaoqiang Hua","orcid":"https://orcid.org/0000-0001-7687-7720"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqiang Hua","raw_affiliation_strings":["National Uni. of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National Uni. of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653327","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-1059-3642"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Air Force Early Warning Academy, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Air Force Early Warning Academy, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051024698","display_name":"Shixin Peng","orcid":"https://orcid.org/0000-0002-0916-180X"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shixin Peng","raw_affiliation_strings":["Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101667124","display_name":"Liang Zhong","orcid":"https://orcid.org/0000-0003-0716-4211"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhong","raw_affiliation_strings":["China University of Geoscience, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"China University of Geoscience, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5068818180"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17466066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"268","last_page":"272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9993000030517578,"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":0.9993000030517578,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/telecommunications-link","display_name":"Telecommunications link","score":0.9235166311264038},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6635565161705017},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5896316766738892},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5743229389190674},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.543998122215271},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5169617533683777},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.48595869541168213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2585182785987854},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18328818678855896}],"concepts":[{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.9235166311264038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6635565161705017},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5896316766738892},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5743229389190674},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.543998122215271},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5169617533683777},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.48595869541168213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2585182785987854},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18328818678855896}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3290420.3290448","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290420.3290448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Communication and Information Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1591451458","https://openalex.org/W1648445109","https://openalex.org/W1663973292","https://openalex.org/W1983989471","https://openalex.org/W2023535408","https://openalex.org/W2071284784","https://openalex.org/W2092734317","https://openalex.org/W2120549790","https://openalex.org/W2297832764","https://openalex.org/W2537682809","https://openalex.org/W2756105777","https://openalex.org/W2762625016","https://openalex.org/W2768388424","https://openalex.org/W2806094391","https://openalex.org/W2963532871","https://openalex.org/W2966658212","https://openalex.org/W4285719527","https://openalex.org/W6629510986"],"related_works":["https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2010643158","https://openalex.org/W2106867672","https://openalex.org/W3081214562","https://openalex.org/W4310268968","https://openalex.org/W2950975704","https://openalex.org/W4297815943","https://openalex.org/W2053745677"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,26],"discuss":[4],"the":[5,19,28,34,54,61,73,79,87,103],"downlink":[6,35,39],"channel":[7,36,40,88,113],"estimation":[8,41,89,114],"in":[9,68,78,110],"frequency":[10],"division":[11],"duplex":[12],"(FDD)":[13],"massive":[14],"MIMO":[15],"system.":[16],"Based":[17],"on":[18,44],"angular":[20],"reciprocity":[21],"between":[22],"uplink":[23,29],"and":[24,72,100],"downlink,":[25],"combined":[27],"support":[30,55],"prior":[31,56],"information":[32,57],"into":[33,58],"estimation.":[37],"A":[38],"method":[42],"based":[43],"variational":[45],"Bayesian":[46,80,83,97],"inference(VBI)":[47],"is":[48,51,63,76,91],"proposed,":[49],"which":[50],"by":[52,116],"taking":[53],"consideration.":[59],"Meanwhile":[60],"VBI":[62],"discussed":[64],"for":[65,86],"complex":[66],"number":[67],"our":[69],"system":[70],"model,":[71],"structural":[74],"sparsity":[75],"utilized":[77],"inference.":[81],"The":[82],"Cramer-Rao":[84],"bound":[85],"MSE":[90],"also":[92],"given":[93],"out.":[94],"Compared":[95],"with":[96],"compressed":[98],"sensing":[99],"other":[101],"algorithms,":[102],"proposed":[104],"algorithm":[105],"achieves":[106],"much":[107],"better":[108],"performance":[109],"terms":[111],"of":[112],"accuracy":[115],"simulations.":[117]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}