{"id":"https://openalex.org/W2471267472","doi":"https://doi.org/10.1109/vtcspring.2016.7504530","title":"Weighted Sum Rate Maximization of Correlated MISO Interference Broadcast Channels under Linear Precoding: A Large System Analysis","display_name":"Weighted Sum Rate Maximization of Correlated MISO Interference Broadcast Channels under Linear Precoding: A Large System Analysis","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2471267472","doi":"https://doi.org/10.1109/vtcspring.2016.7504530","mag":"2471267472"},"language":"en","primary_location":{"id":"doi:10.1109/vtcspring.2016.7504530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2016.7504530","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":"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/A5026559131","display_name":"Wassim Tabikh","orcid":null},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]},{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Wassim Tabikh","raw_affiliation_strings":["EURECOM, France","Orange Labs, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EURECOM, France","institution_ids":["https://openalex.org/I1902872"]},{"raw_affiliation_string":"Orange Labs, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014663629","display_name":"Dirk Slock","orcid":"https://orcid.org/0000-0003-4116-563X"},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Dirk Slock","raw_affiliation_strings":["EURECOM, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EURECOM, France","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051720261","display_name":"Yi Yuan-Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yi Yuan-Wu","raw_affiliation_strings":["Orange Labs, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orange Labs, France","institution_ids":["https://openalex.org/I19370010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7441,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74886406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"63","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":0.9998000264167786,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9997000098228455,"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/precoding","display_name":"Precoding","score":0.7603158950805664},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6847943067550659},{"id":"https://openalex.org/keywords/interference-alignment","display_name":"Interference alignment","score":0.6273226737976074},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5963188409805298},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.538467526435852},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5298117399215698},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5221208333969116},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.46416428685188293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43641984462738037},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4350741505622864},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4347148537635803},{"id":"https://openalex.org/keywords/zero-forcing-precoding","display_name":"Zero-forcing precoding","score":0.43101271986961365},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4274716377258301},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.40262627601623535},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3137490153312683},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.2234930694103241},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18627408146858215},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.17539292573928833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07975062727928162},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.07947918772697449}],"concepts":[{"id":"https://openalex.org/C160562895","wikidata":"https://www.wikidata.org/wiki/Q7239557","display_name":"Precoding","level":4,"score":0.7603158950805664},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6847943067550659},{"id":"https://openalex.org/C2982854036","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference alignment","level":4,"score":0.6273226737976074},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5963188409805298},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.538467526435852},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5298117399215698},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5221208333969116},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.46416428685188293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43641984462738037},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4350741505622864},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4347148537635803},{"id":"https://openalex.org/C155437304","wikidata":"https://www.wikidata.org/wiki/Q8069444","display_name":"Zero-forcing precoding","level":5,"score":0.43101271986961365},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4274716377258301},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.40262627601623535},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3137490153312683},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.2234930694103241},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18627408146858215},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.17539292573928833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07975062727928162},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.07947918772697449},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vtcspring.2016.7504530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2016.7504530","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"},{"id":"pmh:oai:fr.eurecom:4939","is_oa":false,"landing_page_url":"http://www.eurecom.fr/publication/4939","pdf_url":null,"source":{"id":"https://openalex.org/S4377196942","display_name":"Graduate School and Research Center in Digital Science (EURECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1902872","host_organization_name":"EURECOM","host_organization_lineage":["https://openalex.org/I1902872"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"VTC 2016-Spring, IEEE 83rd Vehicular Technology Conference, 15-18 May 2016, Nanjing, China","raw_type":"Conference"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W114716423","https://openalex.org/W1970830346","https://openalex.org/W1974552031","https://openalex.org/W1988106138","https://openalex.org/W2003061815","https://openalex.org/W2018348074","https://openalex.org/W2059311692","https://openalex.org/W2095147080","https://openalex.org/W2100755644","https://openalex.org/W2101517404","https://openalex.org/W2158837003","https://openalex.org/W2163762663","https://openalex.org/W3103793889","https://openalex.org/W6674577057"],"related_works":["https://openalex.org/W1973158664","https://openalex.org/W2111825998","https://openalex.org/W1979957996","https://openalex.org/W1731022149","https://openalex.org/W2326544815","https://openalex.org/W1996933839","https://openalex.org/W2360690704","https://openalex.org/W2108549112","https://openalex.org/W1976511355","https://openalex.org/W1565141247"],"abstract_inverted_index":{"The":[0],"weighted":[1],"sum":[2,34],"rate":[3],"(WSR)":[4],"maximizing":[5],"linear":[6],"precoder":[7],"algorithm":[8],"is":[9],"studied":[10],"in":[11,42,51],"large":[12],"correlated":[13],"multiple-input":[14],"single":[15],"output":[16],"(MISO)":[17],"interference":[18],"broadcast":[19],"channels":[20,89],"(IBC).":[21],"We":[22,53,69],"consider":[23],"an":[24,55],"iterative":[25],"WSR":[26],"design":[27],"which":[28],"exploits":[29],"the":[30,49,59,82,88],"connection":[31],"with":[32],"Weighted":[33],"Minimum":[35],"Mean":[36],"Squared":[37],"Error":[38],"(WMMSE)":[39],"designs":[40],"as":[41],"[1],":[43],"[2]":[44],"and":[45],"[3],":[46],"focusing":[47],"on":[48],"version":[50],"[1].":[52],"propose":[54,71],"asymptotic":[56,72],"approximation":[57],"of":[58],"signal-":[60],"tointerference":[61],"plus":[62],"noise":[63],"ratio":[64],"(SINR)":[65],"at":[66],"every":[67],"iteration.":[68],"also":[70],"approximations":[73,83],"for":[74],"Matched":[75],"Filter":[76],"(MF)":[77],"precoders.":[78],"Simulations":[79],"show":[80],"that":[81],"are":[84,90],"accurate,":[85],"especially":[86],"when":[87],"correlated.":[91]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}