{"id":"https://openalex.org/W2520766356","doi":"https://doi.org/10.1109/wcnc.2016.7564900","title":"Adaptive clustering and CSI acquisition for FDD massive MIMO systems with two-level precoding","display_name":"Adaptive clustering and CSI acquisition for FDD massive MIMO systems with two-level precoding","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2520766356","doi":"https://doi.org/10.1109/wcnc.2016.7564900","mag":"2520766356"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc.2016.7564900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2016.7564900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Wireless Communications and Networking Conference","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/A5062222447","display_name":"Apostolos Destounis","orcid":"https://orcid.org/0000-0003-0420-3430"},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Apostolos Destounis","raw_affiliation_strings":["Mathematical and Algorithmic Sciences Lab, Huawei Technologies France Research Center, Boulogne-Billancourt, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematical and Algorithmic Sciences Lab, Huawei Technologies France Research Center, Boulogne-Billancourt, France","institution_ids":["https://openalex.org/I4210123571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013746059","display_name":"Marco Maso","orcid":"https://orcid.org/0000-0002-0542-0210"},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marco Maso","raw_affiliation_strings":["Mathematical and Algorithmic Sciences Lab, Huawei Technologies France Research Center, Boulogne-Billancourt, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematical and Algorithmic Sciences Lab, Huawei Technologies France Research Center, Boulogne-Billancourt, France","institution_ids":["https://openalex.org/I4210123571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210123571"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"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":0.9994999766349792,"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"}},{"id":"https://openalex.org/T12791","display_name":"Full-Duplex Wireless Communications","score":0.9990000128746033,"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/computer-science","display_name":"Computer science","score":0.7869845032691956},{"id":"https://openalex.org/keywords/precoding","display_name":"Precoding","score":0.7856992483139038},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.6947368383407593},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.6456652879714966},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.5875005722045898},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.49503153562545776},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.48613569140434265},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4612082540988922},{"id":"https://openalex.org/keywords/multiplexing","display_name":"Multiplexing","score":0.4447145462036133},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.41172122955322266},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.40721553564071655},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3641621470451355},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33672329783439636},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.23761409521102905},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.18098387122154236},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16443952918052673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.135509192943573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07343456149101257}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7869845032691956},{"id":"https://openalex.org/C160562895","wikidata":"https://www.wikidata.org/wiki/Q7239557","display_name":"Precoding","level":4,"score":0.7856992483139038},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.6947368383407593},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.6456652879714966},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.5875005722045898},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.49503153562545776},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.48613569140434265},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4612082540988922},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.4447145462036133},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.41172122955322266},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.40721553564071655},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3641621470451355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33672329783439636},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.23761409521102905},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.18098387122154236},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16443952918052673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.135509192943573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07343456149101257}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc.2016.7564900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2016.7564900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Wireless Communications and Networking Conference","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":13,"referenced_works":["https://openalex.org/W1902678874","https://openalex.org/W1903699831","https://openalex.org/W2000784360","https://openalex.org/W2015301486","https://openalex.org/W2035750833","https://openalex.org/W2052996093","https://openalex.org/W2098126478","https://openalex.org/W2102412823","https://openalex.org/W2141682101","https://openalex.org/W2143927285","https://openalex.org/W2147524058","https://openalex.org/W2163634514","https://openalex.org/W6639812758"],"related_works":["https://openalex.org/W2167568384","https://openalex.org/W2744170735","https://openalex.org/W2116541631","https://openalex.org/W2514205366","https://openalex.org/W3173074004","https://openalex.org/W1976511355","https://openalex.org/W2544668827","https://openalex.org/W2082469387","https://openalex.org/W1985632843","https://openalex.org/W2106711889"],"abstract_inverted_index":{"In":[0,46],"this":[1],"paper,":[2],"we":[3,48],"target":[4],"a":[5,20,30,50,88,101,147],"massive":[6],"multiple-input/multiple-output":[7],"(MIMO)":[8],"system":[9],"operating":[10],"in":[11,105,137],"frequency-division":[12],"duplexing":[13],"(FDD)":[14],"mode,":[15],"assuming":[16],"the":[17,26,36,42,77,81,84,115,131,135],"adoption":[18],"of":[19,72,76,83,139,144],"two-level":[21],"linear":[22],"precoding":[23],"strategy":[24,32],"at":[25,41],"BS.":[27],"We":[28,79],"propose":[29],"novel":[31],"to":[33,146],"effectively":[34],"acquire":[35],"channel":[37],"state":[38],"information":[39],"(CSI)":[40],"base":[43],"station":[44],"(BS).":[45],"particular,":[47],"devise":[49],"cross-layer":[51],"dynamic":[52],"algorithm":[53,86,104,133],"for":[54,87,151],"user":[55,60,107],"grouping,":[56],"CSI":[57],"acquisition":[58],"and":[59,70,111,123,142,150],"scheduling":[61],"that":[62,130],"takes":[63],"into":[64],"account":[65],"fairness":[66,90,141],"considerations,":[67],"application":[68],"characteristics":[69],"quality":[71],"service":[73],"(QoS)":[74],"constraints":[75],"users.":[78],"assess":[80],"merit":[82],"proposed":[85,132],"proportional":[89],"objective":[91],"by":[92,100],"comparing":[93],"its":[94],"performance":[95],"with":[96],"what":[97],"is":[98,109],"achieved":[99],"relevant":[102],"baseline":[103,136],"which":[106],"grouping":[108],"static":[110],"based":[112],"only":[113],"on":[114],"second":[116],"order":[117],"statistics,":[118],"i.e.,":[119],"joint":[120],"space":[121],"division":[122],"multiplexing":[124],"(JSDM).":[125],"Our":[126],"numerical":[127],"findings":[128],"illustrate":[129],"outperforms":[134],"terms":[138],"both":[140],"speed":[143],"convergence":[145],"steady":[148],"state,":[149],"different":[152],"network":[153],"topologies.":[154]},"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":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
