{"id":"https://openalex.org/W2011045210","doi":"https://doi.org/10.1109/vetecs.2010.5493727","title":"On the SINR Distribution for an Orthogonal Random Beamforming System and Its Performance","display_name":"On the SINR Distribution for an Orthogonal Random Beamforming System and Its Performance","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2011045210","doi":"https://doi.org/10.1109/vetecs.2010.5493727","mag":"2011045210"},"language":"en","primary_location":{"id":"doi:10.1109/vetecs.2010.5493727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vetecs.2010.5493727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 71st Vehicular Technology 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/A5101507331","display_name":"Chan-Hong Kim","orcid":"https://orcid.org/0000-0002-7877-1521"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chanhong Kim","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Seoul National University, Seoul, South Korea","Seoul National University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002440278","display_name":"Kyeongjun Ko","orcid":"https://orcid.org/0000-0001-7575-864X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyeongjun Ko","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Seoul National University, Seoul, South Korea","Seoul National University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018954610","display_name":"Sungkyu Jung","orcid":"https://orcid.org/0000-0002-6023-8956"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]},{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Sungkyu Jung","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Seoul National University, Seoul, South Korea","University of North Carolina at Chapel Hill, Chapel Hill, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, United States","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100376261","display_name":"Jungwoo Lee","orcid":"https://orcid.org/0000-0002-6804-980X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungwoo Lee","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Seoul National University, Seoul, South Korea","Seoul National University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8901,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68752486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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/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/T10125","display_name":"Advanced Wireless Communication Techniques","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/cumulative-distribution-function","display_name":"Cumulative distribution function","score":0.8408048152923584},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.7291159629821777},{"id":"https://openalex.org/keywords/signal-to-interference-plus-noise-ratio","display_name":"Signal-to-interference-plus-noise ratio","score":0.5435171127319336},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5318987369537354},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5295162200927734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5068097710609436},{"id":"https://openalex.org/keywords/complex-normal-distribution","display_name":"Complex normal distribution","score":0.4689818024635315},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4660096764564514},{"id":"https://openalex.org/keywords/closed-form-expression","display_name":"Closed-form expression","score":0.4559008777141571},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.45231810212135315},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.44944313168525696},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4240937829017639},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.41939249634742737},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41919511556625366},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.41802090406417847},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.40233272314071655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3916463255882263},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.38686683773994446},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.26746946573257446},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1964513659477234},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13861531019210815},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.06821072101593018},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.06553351879119873},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.060829877853393555}],"concepts":[{"id":"https://openalex.org/C103784038","wikidata":"https://www.wikidata.org/wiki/Q386228","display_name":"Cumulative distribution function","level":3,"score":0.8408048152923584},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.7291159629821777},{"id":"https://openalex.org/C98824394","wikidata":"https://www.wikidata.org/wiki/Q4035626","display_name":"Signal-to-interference-plus-noise ratio","level":3,"score":0.5435171127319336},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5318987369537354},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5295162200927734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5068097710609436},{"id":"https://openalex.org/C201080289","wikidata":"https://www.wikidata.org/wiki/Q5156587","display_name":"Complex normal distribution","level":3,"score":0.4689818024635315},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4660096764564514},{"id":"https://openalex.org/C4530962","wikidata":"https://www.wikidata.org/wiki/Q777407","display_name":"Closed-form expression","level":2,"score":0.4559008777141571},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.45231810212135315},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.44944313168525696},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4240937829017639},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.41939249634742737},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41919511556625366},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.41802090406417847},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.40233272314071655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3916463255882263},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.38686683773994446},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.26746946573257446},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1964513659477234},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13861531019210815},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.06821072101593018},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.06553351879119873},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.060829877853393555},{"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/vetecs.2010.5493727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vetecs.2010.5493727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 71st Vehicular Technology Conference","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":12,"referenced_works":["https://openalex.org/W2011793867","https://openalex.org/W2049900491","https://openalex.org/W2083962008","https://openalex.org/W2098126478","https://openalex.org/W2103749601","https://openalex.org/W2121338759","https://openalex.org/W2142171517","https://openalex.org/W2504767107","https://openalex.org/W2591340843","https://openalex.org/W2801213956","https://openalex.org/W3113221786","https://openalex.org/W6678412206"],"related_works":["https://openalex.org/W303420717","https://openalex.org/W1986901892","https://openalex.org/W2738062192","https://openalex.org/W2158933798","https://openalex.org/W2056785223","https://openalex.org/W1517150187","https://openalex.org/W2528414118","https://openalex.org/W2985146060","https://openalex.org/W4387432124","https://openalex.org/W2122678407"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"closed-form":[3,72],"expressions":[4],"of":[5,8,36,39,50,56,79],"the":[6,13,33,37,40,47,51,57,62,75,80,84,93],"distribution":[7,35,53],"signal-to-interference-plus-noise":[9],"ratios":[10],"(SINRs)":[11],"and":[12,44,66],"average":[14,77],"bit":[15],"error":[16],"rate":[17],"(BER)":[18],"for":[19,74],"an":[20],"orthogonal":[21],"random":[22],"beamforming":[23],"system":[24,81],"in":[25,64],"multiple-antenna":[26],"Gaussian":[27],"broadcast":[28],"channels.":[29],"First,":[30],"we":[31],"derive":[32],"statistical":[34],"SINR":[38,58],"scheduled":[41],"transmit":[42],"signals":[43],"confirm":[45],"that":[46],"approximate":[48,85],"form":[49],"cumulative":[52],"function":[54],"(cdf)":[55],"is":[59],"equivalent":[60],"to":[61,92],"formula":[63],"\\cite{sharif}":[65],"\\cite{letaief}.":[67],"We":[68],"then":[69],"obtain":[70],"a":[71],"expression":[73],"total":[76],"BER":[78],"by":[82],"using":[83],"cdf.":[86],"Our":[87],"theoretical":[88],"results":[89],"are":[90],"compared":[91],"Monte":[94],"Carlo":[95],"simulation":[96],"results.":[97]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
