{"id":"https://openalex.org/W2744594052","doi":"https://doi.org/10.1109/isit.2017.8006981","title":"Statistical beamforming for the large antenna broadcast channel","display_name":"Statistical beamforming for the large antenna broadcast channel","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2744594052","doi":"https://doi.org/10.1109/isit.2017.8006981","mag":"2744594052"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2017.8006981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Information Theory (ISIT)","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/A5084494514","display_name":"Vasanthan Raghavan","orcid":"https://orcid.org/0000-0002-4436-9016"},"institutions":[{"id":"https://openalex.org/I4210117836","display_name":"Space Micro (United States)","ror":"https://ror.org/03bc0qh53","country_code":"US","type":"company","lineage":["https://openalex.org/I4210117836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vasanthan Raghavan","raw_affiliation_strings":["Dept. of EE, Microwave Electronics Laboratory, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of EE, Microwave Electronics Laboratory, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I4210117836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065248740","display_name":"Junil Choi","orcid":"https://orcid.org/0000-0002-9862-9020"},"institutions":[{"id":"https://openalex.org/I4210117836","display_name":"Space Micro (United States)","ror":"https://ror.org/03bc0qh53","country_code":"US","type":"company","lineage":["https://openalex.org/I4210117836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junil J. Choi","raw_affiliation_strings":["Dept. of EE, Microwave Electronics Laboratory, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of EE, Microwave Electronics Laboratory, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I4210117836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001355478","display_name":"David J. Love","orcid":"https://orcid.org/0000-0001-5922-4787"},"institutions":[{"id":"https://openalex.org/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"David J. Love","raw_affiliation_strings":["Mitsubishi Electric Corporation, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Corporation, Kanagawa, Japan","institution_ids":["https://openalex.org/I4210133125"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2508","last_page":"2512"},"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/T10069","display_name":"Antenna Design and Analysis","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.9968000054359436,"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/beamforming","display_name":"Beamforming","score":0.8544679284095764},{"id":"https://openalex.org/keywords/ergodic-theory","display_name":"Ergodic theory","score":0.6523577570915222},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5615010261535645},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5442831516265869},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5209704041481018},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.49071943759918213},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.4906066954135895},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4826515316963196},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4760325253009796},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.4447501003742218},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.426422119140625},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.40081992745399475},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38710957765579224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3800814747810364},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.2553160786628723},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.24827301502227783},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.16603025794029236},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14118692278862}],"concepts":[{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.8544679284095764},{"id":"https://openalex.org/C122044880","wikidata":"https://www.wikidata.org/wiki/Q5498822","display_name":"Ergodic theory","level":2,"score":0.6523577570915222},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5615010261535645},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5442831516265869},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5209704041481018},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.49071943759918213},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.4906066954135895},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4826515316963196},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4760325253009796},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.4447501003742218},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.426422119140625},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.40081992745399475},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38710957765579224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3800814747810364},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2553160786628723},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.24827301502227783},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.16603025794029236},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14118692278862},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2017.8006981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Information Theory (ISIT)","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":28,"referenced_works":["https://openalex.org/W1654063178","https://openalex.org/W2045512849","https://openalex.org/W2097578209","https://openalex.org/W2098126478","https://openalex.org/W2099440786","https://openalex.org/W2103972037","https://openalex.org/W2105147296","https://openalex.org/W2115407331","https://openalex.org/W2116141601","https://openalex.org/W2128513990","https://openalex.org/W2130781639","https://openalex.org/W2136907755","https://openalex.org/W2143927285","https://openalex.org/W2146761479","https://openalex.org/W2146872403","https://openalex.org/W2147918068","https://openalex.org/W2153711241","https://openalex.org/W2155847893","https://openalex.org/W2162675362","https://openalex.org/W2164664877","https://openalex.org/W2165943096","https://openalex.org/W2239864376","https://openalex.org/W3100042858","https://openalex.org/W3106282754","https://openalex.org/W3112681748","https://openalex.org/W4205293427","https://openalex.org/W4242722506","https://openalex.org/W6682797351"],"related_works":["https://openalex.org/W50969306","https://openalex.org/W2390585021","https://openalex.org/W412641959","https://openalex.org/W4292101436","https://openalex.org/W2341040961","https://openalex.org/W2088352174","https://openalex.org/W4286695888","https://openalex.org/W3084132786","https://openalex.org/W4327661444","https://openalex.org/W2034991012"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,10,19,22,48,54,58,69,78,83,93,104,123,139,145,160,171,174,179],"broadcast":[4],"channel":[5,26],"with":[6],"M":[7,13,79,95,125,181],"antennas":[8],"at":[9,29,62],"base-station":[11],"and":[12,46,148,169],"single":[14],"antenna":[15],"users.":[16],"Most":[17],"of":[18,32,57,71,106,144,173],"works":[20],"in":[21,68,142,155,178],"literature":[23],"assume":[24,39],"perfect":[25],"state":[27],"information":[28,51],"both":[30,63],"ends":[31],"each":[33],"link.":[34],"In":[35,92],"this":[36,113],"work,":[37],"we":[38],"that":[40,151],"these":[41,116,130],"links":[42,59],"are":[43,60,66,118],"spatially":[44],"correlated":[45],"only":[47],"long-term":[49],"statistical":[50],"corresponding":[52],"to":[53,77,81,122],"covariance":[55,149],"matrices":[56,150],"available":[61],"ends.":[64],"We":[65,128,157],"interested":[67],"design":[70],"beamforming":[72,146],"vectors":[73,147],"for":[74,112,138],"data":[75],"transmission":[76],"users":[80],"maximize":[82],"ergodic":[84,140],"sum-rate":[85,141,161],"obtained":[86],"by":[87,132],"treating":[88],"interference":[89],"as":[90,165],"noise.":[91],"simpler":[94],"=":[96],"2":[97],"setting,":[98],"our":[99],"prior":[100],"work":[101],"has":[102],"shown":[103],"optimality":[105,172],"a":[107,135,166],"generalized":[108,175],"eigenvector":[109,176],"beamformer":[110],"structure":[111,177],"problem.":[114],"However,":[115],"results":[117],"not":[119],"easily":[120],"extendable":[121],"general":[124,180],"user":[126,182],"setting.":[127,183],"overcome":[129],"difficulties":[131],"first":[133],"establishing":[134],"tractable":[136],"approximation":[137,162],"terms":[143],"is":[152],"asymptotically":[153],"tight":[154],"M.":[156],"then":[158],"cast":[159],"maximization":[163],"problem":[164],"manifold":[167],"optimization":[168],"illustrate":[170]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
