{"id":"https://openalex.org/W2561273835","doi":"https://doi.org/10.1109/pimrc.2016.7794710","title":"Low-complexity spatial channel estimation and hybrid beamforming for millimeter wave links","display_name":"Low-complexity spatial channel estimation and hybrid beamforming for millimeter wave links","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2561273835","doi":"https://doi.org/10.1109/pimrc.2016.7794710","mag":"2561273835"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc.2016.7794710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2016.7794710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","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/A5033231874","display_name":"Hsiao-Lan Chiang","orcid":"https://orcid.org/0000-0002-8103-6085"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hsiao-Lan Chiang","raw_affiliation_strings":["Technische Universit\u00e4t, Dresden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t, Dresden","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072562566","display_name":"Tobias Kadur","orcid":null},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Kadur","raw_affiliation_strings":["Technische Universit\u00e4t, Dresden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t, Dresden","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001955973","display_name":"Wolfgang Rave","orcid":"https://orcid.org/0000-0002-7920-0923"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Rave","raw_affiliation_strings":["Technische Universit\u00e4t, Dresden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t, Dresden","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022117288","display_name":"Gerhard Fettweis","orcid":"https://orcid.org/0000-0003-4622-1311"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerhard Fettweis","raw_affiliation_strings":["Technische Universit\u00e4t, Dresden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t, Dresden","institution_ids":["https://openalex.org/I78650965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78650965"],"apc_list":null,"apc_paid":null,"fwci":2.8254,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91395621,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994999766349792,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","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"}}],"keywords":[{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.8708011507987976},{"id":"https://openalex.org/keywords/beamwidth","display_name":"Beamwidth","score":0.8276247978210449},{"id":"https://openalex.org/keywords/orthogonality","display_name":"Orthogonality","score":0.7407397627830505},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.7306041717529297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6211138963699341},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6115319728851318},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5975037813186646},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5222747325897217},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.45432180166244507},{"id":"https://openalex.org/keywords/extremely-high-frequency","display_name":"Extremely high frequency","score":0.4237786829471588},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.41135817766189575},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3372753858566284},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2904511094093323},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2728996276855469},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1539868414402008},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13678032159805298},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.13174912333488464}],"concepts":[{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.8708011507987976},{"id":"https://openalex.org/C190060920","wikidata":"https://www.wikidata.org/wiki/Q4876232","display_name":"Beamwidth","level":3,"score":0.8276247978210449},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.7407397627830505},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7306041717529297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6211138963699341},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6115319728851318},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5975037813186646},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5222747325897217},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.45432180166244507},{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.4237786829471588},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.41135817766189575},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3372753858566284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2904511094093323},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2728996276855469},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1539868414402008},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13678032159805298},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.13174912333488464},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc.2016.7794710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2016.7794710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W143004564","https://openalex.org/W1487444668","https://openalex.org/W1490682838","https://openalex.org/W1921359321","https://openalex.org/W2049791297","https://openalex.org/W2063104534","https://openalex.org/W2111953900","https://openalex.org/W2116334496","https://openalex.org/W2129131372","https://openalex.org/W2140856955","https://openalex.org/W2145417574","https://openalex.org/W2155678104","https://openalex.org/W2165943096","https://openalex.org/W4301621763"],"related_works":["https://openalex.org/W1152543006","https://openalex.org/W2782904003","https://openalex.org/W4226434912","https://openalex.org/W2118633810","https://openalex.org/W2150953077","https://openalex.org/W2002598339","https://openalex.org/W2920931670","https://openalex.org/W2133814741","https://openalex.org/W1995410415","https://openalex.org/W3108343813"],"abstract_inverted_index":{"Efficiently":[0],"estimating":[1],"spatial":[2],"channel":[3,66,87,114],"properties,":[4],"such":[5],"as":[6,122],"angles":[7],"of":[8,20,64,84,111],"arrival":[9],"and":[10,54],"departure,":[11],"for":[12,71,132],"a":[13,40],"hybrid":[14],"beamforming":[15,134],"(HBF)":[16],"architecture":[17],"is":[18,68,104],"one":[19,124],"the":[21,50,59,62,85,90,95,98,112,119,123,128,133,141],"crucial":[22],"challenges":[23],"to":[24,39],"overcome":[25],"at":[26],"millimeter":[27],"wave":[28],"(mmW)":[29],"systems.":[30],"To":[31],"this":[32],"end,":[33],"we":[34],"propose":[35],"an":[36],"algorithm":[37,76],"variant":[38],"recently":[41],"proposed":[42,142],"approach":[43],"[8]":[44],"based":[45],"on":[46],"ideas":[47],"borrowed":[48],"from":[49],"compressed":[51],"sensing":[52],"literature":[53],"/0-norm":[55],"minimization,":[56],"which":[57],"exploit":[58],"fact":[60],"that":[61,106],"number":[63],"significant":[65],"echoes":[67],"rather":[69],"small":[70],"limited":[72],"beamwidth.":[73],"Our":[74],"modified":[75],"eliminates":[77],"high":[78],"dimensional":[79],"singular":[80],"value":[81],"decomposition":[82],"(SVD)":[83],"estimated":[86,113],"matrix":[88,115],"in":[89],"original":[91],"method":[92],"by":[93,140],"employing":[94],"orthogonality":[96],"between":[97],"selected":[99],"array":[100],"propagation":[101],"vectors.":[102],"It":[103],"demonstrated":[105],"HBF":[107],"design":[108],"without":[109],"SVD":[110],"can":[116,136],"achieve":[117],"essentially":[118],"same":[120],"capacity":[121],"with":[125],"SVD.":[126],"Moreover,":[127],"feedback":[129],"overhead":[130],"required":[131],"systems":[135],"be":[137],"significantly":[138],"reduced":[139],"method.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}