{"id":"https://openalex.org/W3126450657","doi":"https://doi.org/10.1109/twc.2021.3056077","title":"Low-Cost mmWave MIMO Multi-Streaming via Bi-Clustering, Graph Coloring, and Hybrid Beamforming","display_name":"Low-Cost mmWave MIMO Multi-Streaming via Bi-Clustering, Graph Coloring, and Hybrid Beamforming","publication_year":2021,"publication_date":"2021-02-10","ids":{"openalex":"https://openalex.org/W3126450657","doi":"https://doi.org/10.1109/twc.2021.3056077","mag":"3126450657"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2021.3056077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2021.3056077","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-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/A5019231827","display_name":"Ahmad Ghasemi","orcid":"https://orcid.org/0000-0002-7757-8674"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ahmad Ghasemi","raw_affiliation_strings":["Department of Data Science, Worcester Polytechnic Institute (WPI), Worcester, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Data Science, Worcester Polytechnic Institute (WPI), Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056495275","display_name":"Seyed A. Zekavat","orcid":"https://orcid.org/0000-0002-1238-3147"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seyed A. Zekavat","raw_affiliation_strings":["Department of Data Science, Worcester Polytechnic Institute (WPI), Worcester, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Data Science, Worcester Polytechnic Institute (WPI), Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019231827"],"corresponding_institution_ids":["https://openalex.org/I107077323"],"apc_list":null,"apc_paid":null,"fwci":1.0027,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.74689415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"20","issue":"7","first_page":"4113","last_page":"4127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","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"}},"topics":[{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","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/T10148","display_name":"Advanced MIMO Systems 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"}},{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","score":0.9933000206947327,"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/beamforming","display_name":"Beamforming","score":0.7584751844406128},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.7097184658050537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6754182577133179},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6062220931053162},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.5631201267242432},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5499918460845947},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.49014028906822205},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.4473417103290558},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.43176132440567017},{"id":"https://openalex.org/keywords/qr-decomposition","display_name":"QR decomposition","score":0.42916393280029297},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33936285972595215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2805336117744446},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1559927761554718},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.10327330231666565}],"concepts":[{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.7584751844406128},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.7097184658050537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6754182577133179},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6062220931053162},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.5631201267242432},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5499918460845947},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.49014028906822205},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.4473417103290558},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.43176132440567017},{"id":"https://openalex.org/C188060507","wikidata":"https://www.wikidata.org/wiki/Q653242","display_name":"QR decomposition","level":3,"score":0.42916393280029297},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33936285972595215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2805336117744446},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1559927761554718},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.10327330231666565},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2021.3056077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2021.3056077","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W432844638","https://openalex.org/W905396345","https://openalex.org/W1432778544","https://openalex.org/W1484040084","https://openalex.org/W1511572470","https://openalex.org/W1712370865","https://openalex.org/W1973040897","https://openalex.org/W1994938177","https://openalex.org/W2009287270","https://openalex.org/W2011039300","https://openalex.org/W2053521124","https://openalex.org/W2053923031","https://openalex.org/W2066366304","https://openalex.org/W2073459066","https://openalex.org/W2074597453","https://openalex.org/W2088076874","https://openalex.org/W2101047542","https://openalex.org/W2117597615","https://openalex.org/W2117756735","https://openalex.org/W2126596005","https://openalex.org/W2128513990","https://openalex.org/W2129195182","https://openalex.org/W2130158951","https://openalex.org/W2133576408","https://openalex.org/W2154189866","https://openalex.org/W2170991283","https://openalex.org/W2469174679","https://openalex.org/W2794129399","https://openalex.org/W2798909945","https://openalex.org/W2801974178","https://openalex.org/W2905470427","https://openalex.org/W2950256799","https://openalex.org/W2963190568","https://openalex.org/W3034446493","https://openalex.org/W3105228616","https://openalex.org/W3106282754","https://openalex.org/W4236023629","https://openalex.org/W4285719527","https://openalex.org/W6668990524","https://openalex.org/W6677944774","https://openalex.org/W6678914686"],"related_works":["https://openalex.org/W2765319024","https://openalex.org/W3046517157","https://openalex.org/W2114458102","https://openalex.org/W2035885121","https://openalex.org/W3010755803","https://openalex.org/W2059421710","https://openalex.org/W2150953077","https://openalex.org/W2064184637","https://openalex.org/W2028213769","https://openalex.org/W4200589288"],"abstract_inverted_index":{"This":[0],"paper":[1,77,117],"proposes":[2],"and":[3,9,33,72,84,112,123,131,148],"analyses":[4],"a":[5,53,93,192],"set":[6],"of":[7,82,95,144],"novel":[8],"optimum":[10,110],"multi-streaming":[11],"techniques":[12],"for":[13],"mmWave":[14],"multi-input":[15],"multi-output":[16],"systems.":[17],"It":[18],"formulates":[19],"an":[20],"optimization":[21],"problem":[22],"that":[23,125,184],"enables":[24],"exploiting":[25],"available":[26],"uncorrelated":[27],"paths":[28],"between":[29,146],"the":[30,34,39,43,63,76,80,96,109,116,150,173,185,189],"transmitter":[31],"(Tx)":[32],"receiver":[35],"(Rx)":[36],"to":[37,62,65,92,107,154],"enhance":[38],"system":[40],"throughput.":[41],"In":[42,74],"proposed":[44,106,163,186],"approach,":[45],"antenna":[46,68],"arrays":[47,88],"at":[48,70],"Tx/Rx":[49,147],"are":[50,60,105],"modeled":[51],"as":[52],"Bipartite":[54],"graph.":[55],"Next,":[56],"two":[57,103,119],"bi-clustering":[58],"algorithms":[59,104],"applied":[61],"graph":[64,97],"simultaneously":[66],"cluster":[67],"elements":[69],"Tx":[71],"Rx.":[73],"addition,":[75],"shows":[78],"how":[79],"selection":[81],"subchannels":[83,111,145],"their":[85],"corresponding":[86],"subantenna":[87,113],"can":[89],"be":[90],"reduced":[91],"variant":[94],"coloring":[98],"problem,":[99],"based":[100],"on":[101],"which,":[102],"find":[108],"arrays.":[114],"Moreover,":[115],"defines":[118],"new":[120],"beamforming":[121,138,164],"methods":[122,127],"proves":[124],"those":[126],"satisfy":[128],"constant":[129],"modulus":[130],"total":[132],"power":[133],"constraints.":[134],"The":[135,160],"first":[136],"modified":[137],"method":[139,165],"uses":[140],"singular":[141,156],"vectors":[142],"(SVs)":[143],"incorporates":[149],"Power":[151],"Iteration":[152],"algorithm":[153],"decrease":[155],"value":[157],"decomposition":[158],"complexity.":[159,175,195],"second":[161],"newly":[162],"finds":[166],"precoders/combiners":[167],"without":[168],"using":[169,191],"SVs":[170],"which":[171],"reduces":[172],"computational":[174],"Performance":[176],"evaluations":[177],"in":[178],"terms":[179],"data":[180],"streaming":[181],"sum-rate":[182],"demonstrate":[183],"technique":[187],"increases":[188],"throughput":[190],"low":[193],"processing":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}