{"id":"https://openalex.org/W2955276276","doi":"https://doi.org/10.1109/vtcspring.2019.8746389","title":"K-Means MU-MIMO User Clustering for Optimized Precoding Performance","display_name":"K-Means MU-MIMO User Clustering for Optimized Precoding Performance","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2955276276","doi":"https://doi.org/10.1109/vtcspring.2019.8746389","mag":"2955276276"},"language":"en","primary_location":{"id":"doi:10.1109/vtcspring.2019.8746389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2019.8746389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 89th Vehicular Technology Conference (VTC2019-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/A5020833888","display_name":"R\u0103zvan-Florentin Trifan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Razvan-Florentin Trifan","raw_affiliation_strings":["INFOVISTA, Massy, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INFOVISTA, Massy, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044420072","display_name":"Regis Lerbour","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Regis Lerbour","raw_affiliation_strings":["INFOVISTA, Massy, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INFOVISTA, Massy, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084141009","display_name":"Gregory Donnard","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gregory Donnard","raw_affiliation_strings":["INFOVISTA, Gatineau, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INFOVISTA, Gatineau, Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007214846","display_name":"Yann Le Helloco","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yann Le Helloco","raw_affiliation_strings":["INFOVISTA, Massy, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INFOVISTA, Massy, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.06353565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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":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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9987000226974487,"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":0.9961000084877014,"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/precoding","display_name":"Precoding","score":0.9394518136978149},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.8436812162399292},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6804142594337463},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6435929536819458},{"id":"https://openalex.org/keywords/multi-user-mimo","display_name":"Multi-user MIMO","score":0.6149923205375671},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5264345407485962},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48170405626296997},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37640509009361267},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2163216471672058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12576046586036682},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.09823065996170044}],"concepts":[{"id":"https://openalex.org/C160562895","wikidata":"https://www.wikidata.org/wiki/Q7239557","display_name":"Precoding","level":4,"score":0.9394518136978149},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.8436812162399292},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6804142594337463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6435929536819458},{"id":"https://openalex.org/C91330434","wikidata":"https://www.wikidata.org/wiki/Q738298","display_name":"Multi-user MIMO","level":4,"score":0.6149923205375671},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5264345407485962},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48170405626296997},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37640509009361267},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2163216471672058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12576046586036682},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.09823065996170044},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcspring.2019.8746389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2019.8746389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)","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":24,"referenced_works":["https://openalex.org/W118481696","https://openalex.org/W1578468649","https://openalex.org/W1765370134","https://openalex.org/W1963626352","https://openalex.org/W2091283109","https://openalex.org/W2098126478","https://openalex.org/W2100548565","https://openalex.org/W2123271629","https://openalex.org/W2136616653","https://openalex.org/W2143927285","https://openalex.org/W2150593711","https://openalex.org/W2294382089","https://openalex.org/W2530073819","https://openalex.org/W2537515126","https://openalex.org/W2738230400","https://openalex.org/W2770606349","https://openalex.org/W2889845481","https://openalex.org/W2906142355","https://openalex.org/W2962849272","https://openalex.org/W4205533812","https://openalex.org/W4237918672","https://openalex.org/W4293389664","https://openalex.org/W6638017597","https://openalex.org/W6697109168"],"related_works":["https://openalex.org/W2489379490","https://openalex.org/W2545343974","https://openalex.org/W1500439066","https://openalex.org/W2542194775","https://openalex.org/W2182661536","https://openalex.org/W2955108753","https://openalex.org/W1987031311","https://openalex.org/W2141031289","https://openalex.org/W1969186191","https://openalex.org/W2112772594"],"abstract_inverted_index":{"Multi-User":[0],"(MU)":[1],"Multiple-Input-Multiple-Output":[2],"(MIMO)":[3],"systems":[4],"have":[5],"been":[6],"extensively":[7],"investigated":[8],"over":[9],"the":[10,51,93],"last":[11],"few":[12],"years":[13],"from":[14],"both":[15],"theoretical":[16],"and":[17,68,97],"practical":[18,75],"perspectives.":[19],"Linear":[20],"Precoding":[21],"(LP)":[22],"schemes":[23],"for":[24,34,44,74],"MU-MIMO":[25,103],"are":[26,60],"already":[27],"used":[28],"in":[29,102],"Long":[30],"Term":[31],"Evolution":[32],"(LTE)":[33],"their":[35,58],"low":[36],"complexity,":[37],"however,":[38],"they":[39],"do":[40],"not":[41,71],"work":[42],"well":[43],"users":[45,88],"with":[46],"strongly":[47],"correlated":[48],"channels.":[49],"Finding":[50],"optimum":[52],"set":[53],"of":[54,79],"co-scheduled":[55],"users,":[56],"provided":[57],"channels":[59],"separated":[61],"enough,":[62],"could":[63],"require":[64],"an":[65],"exhaustive":[66],"search,":[67],"thus":[69],"may":[70],"be":[72],"affordable":[73],"systems.":[76,104],"The":[77],"purpose":[78],"this":[80],"paper":[81],"is":[82],"to":[83,98],"present":[84],"a":[85],"new":[86],"semi-orthogonal":[87],"selection":[89],"algorithm":[90],"based":[91],"on":[92],"statistical":[94],"K-means":[95],"clustering":[96],"assess":[99],"its":[100],"performance":[101]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}