Subspace Estimation and Decomposition for Large Millimeter-Wave MIMO Systems

Channel estimation and precoding in hybrid analog-digital millimeter-wave (mmWave) MIMO systems is a fundamental problem that has yet to be addressed, before any of the promised gains can be harnessed. For that matter, we propose a method (based on the well-known Arnoldi iteration) exploiting channe...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE journal of selected topics in signal processing Vol. 10; no. 3; pp. 528 - 542
Main Authors:	Ghauch, Hadi, Taejoon Kim, Bengtsson, Mats, Skoglund, Mikael
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.04.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Analog-digital conversion Arnoldi iteration Cascades Channel estimation Channels Context Decomposition echo-based channel estimation Estimation hybrid architecture hybrid precoding Iterative algorithms Millimeter wave MIMO systems MIMO MIMO (control systems) Obstacles Signal processing algorithms sparse channel estimation subspace decomposition subspace estimation Subspaces subspace decomposition hybrid architecture hybrid precoding sparse channel estimation subspace estimation Millimeter wave MIMO systems echo-based channel estimation Arnoldi iteration
ISSN:	1932-4553, 1941-0484, 1941-0484
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Abstract	Channel estimation and precoding in hybrid analog-digital millimeter-wave (mmWave) MIMO systems is a fundamental problem that has yet to be addressed, before any of the promised gains can be harnessed. For that matter, we propose a method (based on the well-known Arnoldi iteration) exploiting channel reciprocity in TDD systems and the sparsity of the channel's eigenmodes, to estimate the right (resp. left) singular subspaces of the channel, at the BS (resp. MS). We first describe the algorithm in the context of conventional MIMO systems, and derive bounds on the estimation error in the presence of distortions at both BS and MS. We later identify obstacles that hinder the application of such an algorithm to the hybrid analog-digital architecture, and address them individually. In view of fulfilling the constraints imposed by the hybrid analog-digital architecture, we further propose an iterative algorithm for subspace decomposition, whereby the above estimated subspaces, are approximated by a cascade of analog and digital precoder/combiner. Finally, we evaluate the performance of our scheme against the perfect CSI, fully digital case (i.e., an equivalent conventional MIMO system), and conclude that similar performance can be achieved, especially at medium-to-high SNR (where the performance gap is less than 5%), however, with a drastically lower number of RF chains (~4 to 8 times less).
AbstractList	Channel estimation and precoding in hybrid analog-digital millimeter-wave (mmWave) MIMO systems is a fundamental problem that has yet to be addressed, before any of the promised gains can be harnessed. For that matter, we propose a method (based on the well-known Arnoldi iteration) exploiting channel reciprocity in TDD systems and the sparsity of the channel's eigenmodes, to estimate the right (resp. left) singular subspaces of the channel, at the BS (resp. MS). We first describe the algorithm in the context of conventional MIMO systems, and derive bounds on the estimation error in the presence of distortions at both BS and MS. We later identify obstacles that hinder the application of such an algorithm to the hybrid analog-digital architecture, and address them individually. In view of fulfilling the constraints imposed by the hybrid analog-digital architecture, we further propose an iterative algorithm for subspace decomposition, whereby the above estimated subspaces, are approximated by a cascade of analog and digital precoder/combiner. Finally, we evaluate the performance of our scheme against the perfect CSI, fully digital case (i.e., an equivalent conventional MIMO system), and conclude that similar performance can be achieved, especially at medium-to-high SNR (where the performance gap is less than 5%), however, with a drastically lower number of RF chains (similar to 4 to 8 times less). Channel estimation and precoding in hybrid analog-digital millimeter-wave (mmWave) MIMO systems is a fundamental problem that has yet to be addressed, before any of the promised gains can be harnessed. For that matter, we propose a method (based on the well-known Arnoldi iteration) exploiting channel reciprocity in TDD systems and the sparsity of the channel's eigenmodes, to estimate the right (resp. left) singular subspaces of the channel, at the BS (resp. MS). We first describe the algorithm in the context of conventional MIMO systems, and derive bounds on the estimation error in the presence of distortions at both BS and MS. We later identify obstacles that hinder the application of such an algorithm to the hybrid analog-digital architecture, and address them individually. In view of fulfilling the constraints imposed by the hybrid analog-digital architecture, we further propose an iterative algorithm for subspace decomposition, whereby the above estimated subspaces, are approximated by a cascade of analog and digital precoder/combiner. Finally, we evaluate the performance of our scheme against the perfect CSI, fully digital case (i.e., an equivalent conventional MIMO system), and conclude that similar performance can be achieved, especially at medium-to-high SNR (where the performance gap is less than 5%), however, with a drastically lower number of RF chains (~4 to 8 times less). Channel estimation and precoding in hybrid analog-digital millimeter-wave (mmWave) MIMO systems is a fundamental problem that has yet to be addressed, before any of the promised gains can be harnessed. For that matter, we propose a method (based on the well-known Arnoldi iteration) exploiting channel reciprocity in TDD systems and the sparsity of the channel's eigenmodes, to estimate the right (resp. left) singular subspaces of the channel, at the BS (resp. MS). We first describe the algorithm in the context of conventional MIMO systems, and derive bounds on the estimation error in the presence of distortions at both BS and MS. We later identify obstacles that hinder the application of such an algorithm to the hybrid analog-digital architecture, and address them individually. In view of fulfilling the constraints imposed by the hybrid analog-digital architecture, we further propose an iterative algorithm for subspace decomposition, whereby the above estimated subspaces, are approximated by a cascade of analog and digital precoder/combiner. Finally, we evaluate the performance of our scheme against the perfect CSI, fully digital case (i.e., an equivalent conventional MIMO system), and conclude that similar performance can be achieved, especially at medium-to-high SNR (where the performance gap is less than 5%), however, with a drastically lower number of RF chains (${\sim}4$ to 8 times less). Channel estimation and precoding in hybrid analog-digital millimeter-wave (mmWave) MIMO systems is a fundamental problem that has yet to be addressed, before any of the promised gains can be harnessed. For that matter, we propose a method (based on the well-known Arnoldi iteration) exploiting channel reciprocity in TDD systems and the sparsity of the channel's eigenmodes, to estimate the right (resp. left) singular subspaces of the channel, at the BS (resp. MS). We first describe the algorithm in the context of conventional MIMO systems, and derive bounds on the estimation error in the presence of distortions at both BS and MS. We later identify obstacles that hinder the application of such an algorithm to the hybrid analog-digital architecture, and address them individually. In view of fulfilling the constraints imposed by the hybrid analog-digital architecture, we further propose an iterative algorithm for subspace decomposition, whereby the above estimated subspaces, are approximated by a cascade of analog and digital precoder/combiner. Finally, we evaluate the performance of our scheme against the perfect CSI, fully digital case (i.e., an equivalent conventional MIMO system), and conclude that similar performance can be achieved, especially at medium-to-high SNR (where the performance gap is less than 5%), however, with a drastically lower number of RF chains ([Formula Omitted] to 8 times less).
Author	Skoglund, Mikael Ghauch, Hadi Taejoon Kim Bengtsson, Mats
Author_xml	– sequence: 1 givenname: Hadi surname: Ghauch fullname: Ghauch, Hadi email: ghauch@kth.se organization: ACCESS Linnaeus Center, KTH R. Inst. of Technol., Stockholm, Sweden – sequence: 2 surname: Taejoon Kim fullname: Taejoon Kim email: taejokim@cityu.edu.hk organization: Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon Tong, China – sequence: 3 givenname: Mats surname: Bengtsson fullname: Bengtsson, Mats email: mats.bengtsson@ee.kth.se organization: ACCESS Linnaeus Center, KTH R. Inst. of Technol., Stockholm, Sweden – sequence: 4 givenname: Mikael surname: Skoglund fullname: Skoglund, Mikael email: skoglund@kth.se organization: ACCESS Linnaeus Center, KTH R. Inst. of Technol., Stockholm, Sweden
BackLink	https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187827$$DView record from Swedish Publication Index (Kungliga Tekniska Högskolan)
BookMark	eNp9kUtPxCAUhYnRxOcf0E0TN246QqGFLo2Or4zRZHwsCaW3iralAtX472VmjAsXrrjcfOdyuGcbrfe2B4T2CZ4Qgsvj6_n9_G6SYVJMspwKwsUa2iIlIylmgq0vapqlLM_pJtr2_hXjnBeEbaHZfKz8oDQkUx9Mp4KxfaL6OjkDbbvBerPsNNYlM-WeIbkxbWs6CODSJ_UR71c3t8n8ywfo_C7aaFTrYe_n3EEP59P708t0dntxdXoySzUtipBWZc01b3KWC1VnghChmgoLCorTXJQ6KwSuRFnXrKoLyJjGRBS8KmNf85ppuoPS1Vz_CcNYycFF5-5LWmXkmXk8kdY9y7fwIongIuORP1rxg7PvI_ggO-M1tK3qwY4-YqTAtOTlAj38g77a0fXxNzIulRNGc4Yjla0o7az3DppfCwTLRSByGYhcBCJ_Aoki8UekTVguPDhl2v-lByupAYDftziLnpmg36McmjA
CODEN	IJSTGY
CitedBy_id	crossref_primary_10_1109_JSTSP_2019_2925975 crossref_primary_10_1109_TWC_2022_3224693 crossref_primary_10_1109_JSAC_2017_2720856 crossref_primary_10_1007_s11277_024_11581_7 crossref_primary_10_1016_j_aeue_2020_153127 crossref_primary_10_1016_j_heliyon_2023_e17580 crossref_primary_10_1109_TSP_2017_2749210 crossref_primary_10_1109_ACCESS_2021_3107419 crossref_primary_10_1109_TWC_2017_2682167 crossref_primary_10_1109_TWC_2019_2952850 crossref_primary_10_1109_TSP_2018_2806358 crossref_primary_10_1109_TCCN_2020_2981031 crossref_primary_10_1109_JSTSP_2019_2937633 crossref_primary_10_1109_TCOMM_2016_2604312 crossref_primary_10_1109_TSP_2024_3412071 crossref_primary_10_1109_LWC_2016_2613041 crossref_primary_10_1109_TWC_2017_2710049 crossref_primary_10_1109_TSP_2020_3018548 crossref_primary_10_1109_ACCESS_2020_3017633 crossref_primary_10_1109_TSP_2022_3150953 crossref_primary_10_1109_TSP_2017_2715001 crossref_primary_10_1109_TCOMM_2019_2903142 crossref_primary_10_1109_TVT_2024_3427779 crossref_primary_10_1109_TCCN_2020_3030964 crossref_primary_10_1109_TAES_2019_2894892 crossref_primary_10_23919_JSEE_2024_000056 crossref_primary_10_1109_TCOMM_2019_2896122 crossref_primary_10_1109_TCOMM_2021_3096549 crossref_primary_10_1109_TCOMM_2018_2854188 crossref_primary_10_1016_j_phycom_2021_101385 crossref_primary_10_1109_TWC_2018_2873592 crossref_primary_10_1109_TCOMM_2024_3402616 crossref_primary_10_1109_TVT_2024_3471733 crossref_primary_10_1109_LWC_2018_2870360 crossref_primary_10_1109_JSAC_2017_2698779 crossref_primary_10_1109_JSTSP_2019_2933163 crossref_primary_10_1109_ACCESS_2021_3095121 crossref_primary_10_1109_TCOMM_2020_2983673 crossref_primary_10_1109_TCOMM_2022_3168886 crossref_primary_10_1109_JSAC_2020_3000889 crossref_primary_10_1109_TVT_2020_2983963 crossref_primary_10_1109_TCOMM_2018_2854779 crossref_primary_10_1109_TWC_2019_2900038 crossref_primary_10_1109_ACCESS_2019_2900008 crossref_primary_10_1109_TGCN_2023_3317829 crossref_primary_10_1109_TWC_2017_2716362 crossref_primary_10_1109_TCOMM_2018_2817199 crossref_primary_10_1109_ACCESS_2017_2768579 crossref_primary_10_1109_ACCESS_2019_2916799 crossref_primary_10_1109_TVT_2018_2884049 crossref_primary_10_1631_FITEE_1601817 crossref_primary_10_1109_LWC_2017_2686854 crossref_primary_10_1109_TVT_2021_3120298 crossref_primary_10_1109_ACCESS_2018_2877432 crossref_primary_10_3390_e22101121 crossref_primary_10_1109_TWC_2020_3044462 crossref_primary_10_1049_el_2018_5097 crossref_primary_10_1109_TCOMM_2019_2906873 crossref_primary_10_1109_TCOMM_2017_2771334 crossref_primary_10_1109_TWC_2022_3185094 crossref_primary_10_1109_JLT_2019_2945017 crossref_primary_10_1109_ACCESS_2017_2725919 crossref_primary_10_1109_COMST_2017_2787460 crossref_primary_10_1109_JSTSP_2018_2814008 crossref_primary_10_1109_TWC_2019_2932932 crossref_primary_10_1109_ACCESS_2020_3020910 crossref_primary_10_1038_s41467_023_36814_4 crossref_primary_10_1016_j_dsp_2019_07_010 crossref_primary_10_1109_TVT_2019_2918066 crossref_primary_10_1109_JSEN_2021_3117339 crossref_primary_10_1109_TCOMM_2019_2924885 crossref_primary_10_1007_s11432_017_9262_8 crossref_primary_10_1109_TWC_2017_2661749
Cites_doi	10.1109/ACSSC.2002.1197266 10.1109/GLOCOM.2011.6134486 10.1109/TSP.2008.925971 10.1007/978-94-011-5412-3_5 10.1109/JSTSP.2014.2334278 10.1109/TSP.2010.2063426 10.1109/TCOMM.2013.090513.120848 10.1109/SPAWC.2015.7227018 10.1137/1.9780898717808 10.1109/JSAC.2009.091009 10.1109/TWC.2014.011714.130846 10.1109/TSP.2005.857024 10.1109/TSP.2007.896058 10.1137/1.9781611970739.ch1 10.1109/TCOMM.2003.814195 10.1137/120887795 10.1109/ICASSP.2015.7178507 10.1109/TSP.2010.2048321 10.1109/TSP.2006.881199 10.1109/TSP.2004.832000 10.1109/TSP.2007.896901 10.1109/ICC.2012.6363634 10.1109/TIT.2011.2165129
ContentType	Journal Article
Copyright	Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2016
Copyright_xml	– notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2016
DBID	97E RIA RIE AAYXX CITATION 7SP 8FD H8D L7M ADTPV AOWAS D8V
DOI	10.1109/JSTSP.2016.2538178
DatabaseName	IEEE All-Society Periodicals Package (ASPP) 2005–Present IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef Electronics & Communications Abstracts Technology Research Database Aerospace Database Advanced Technologies Database with Aerospace SwePub SwePub Articles SWEPUB Kungliga Tekniska Högskolan
DatabaseTitle	CrossRef Aerospace Database Technology Research Database Advanced Technologies Database with Aerospace Electronics & Communications Abstracts
DatabaseTitleList	Aerospace Database Aerospace Database
Database_xml	– sequence: 1 dbid: RIE name: IEEE/IET Electronic Library (IEL) (UW System Shared) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering
EISSN	1941-0484
EndPage	542
ExternalDocumentID	oai_DiVA_org_kth_187827 4046913621 10_1109_JSTSP_2016_2538178 7439748
Genre	orig-research
GrantInformation_xml	– fundername: Research Grant Council, Hong Kong grantid: CityU 11201015
GroupedDBID	-~X 0R~ 29I 4.4 5GY 5VS 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABQJQ ABVLG ACIWK AENEX AETIX AGQYO AGSQL AHBIQ AKJIK AKQYR ALMA_UNASSIGNED_HOLDINGS ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 DU5 EBS EJD F5P HZ~ IFIPE IPLJI JAVBF LAI M43 O9- OCL RIA RIE RNS AAYXX CITATION 7SP 8FD H8D L7M RIG ADTPV AOWAS D8V
ID	FETCH-LOGICAL-c366t-b9d7c7f5458ad28118afb083ea73589c2680b89dd4bd6e24c01867b9268c7d4c3
IEDL.DBID	RIE
ISICitedReferencesCount	117
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000375114900008&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1932-4553 1941-0484
IngestDate	Tue Nov 04 16:20:41 EST 2025 Tue Sep 30 21:30:07 EDT 2025 Mon Jun 30 10:17:32 EDT 2025 Sat Nov 29 04:10:30 EST 2025 Tue Nov 18 22:33:10 EST 2025 Tue Aug 26 16:42:53 EDT 2025
IsPeerReviewed	true
IsScholarly	true
Issue	3
Keywords	subspace decomposition hybrid architecture hybrid precoding sparse channel estimation subspace estimation Millimeter wave MIMO systems echo-based channel estimation Arnoldi iteration
Language	English
License	https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c366t-b9d7c7f5458ad28118afb083ea73589c2680b89dd4bd6e24c01867b9268c7d4c3
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
PQID	1787143540
PQPubID	75721
PageCount	15
ParticipantIDs	crossref_citationtrail_10_1109_JSTSP_2016_2538178 swepub_primary_oai_DiVA_org_kth_187827 proquest_journals_1787143540 ieee_primary_7439748 crossref_primary_10_1109_JSTSP_2016_2538178 proquest_miscellaneous_1816039797
PublicationCentury	2000
PublicationDate	2016-04-01
PublicationDateYYYYMMDD	2016-04-01
PublicationDate_xml	– month: 04 year: 2016 text: 2016-04-01 day: 01
PublicationDecade	2010
PublicationPlace	New York
PublicationPlace_xml	– name: New York
PublicationTitle	IEEE journal of selected topics in signal processing
PublicationTitleAbbrev	JSTSP
PublicationYear	2016
Publisher	IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml	– name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References	ref13 ref15 ref14 ref30 ref11 cerwall (ref1) 2015 ref10 ohata (ref3) 0 ref17 ref16 ref19 ref18 razaviyayn (ref26) 2012; 23 aharon (ref25) 2006; 54 nsenga (ref8) 0 ref24 ref23 ref20 ohata (ref2) 0 ref21 ghauch (ref12) 0 (ref31) 2011 ref28 ref27 ref29 ref7 ref9 ref4 ref6 ref5 salo (ref32) 2005 golub (ref22) 1996
References_xml	– ident: ref19 doi: 10.1109/ACSSC.2002.1197266 – ident: ref9 doi: 10.1109/GLOCOM.2011.6134486 – ident: ref21 doi: 10.1109/TSP.2008.925971 – ident: ref29 doi: 10.1007/978-94-011-5412-3_5 – ident: ref7 doi: 10.1109/JSTSP.2014.2334278 – ident: ref18 doi: 10.1109/TSP.2010.2063426 – ident: ref11 doi: 10.1109/TCOMM.2013.090513.120848 – ident: ref14 doi: 10.1109/SPAWC.2015.7227018 – year: 2005 ident: ref32 article-title: MATLAB implementation of the 3GPP spatial channel model – ident: ref17 doi: 10.1137/1.9780898717808 – volume: 23 start-page: 1123 year: 2012 ident: ref26 article-title: A unified convergence analysis of block successive minimization methods for nonsmooth optimization publication-title: SIAM J Optim – start-page: 395 year: 0 ident: ref12 article-title: Subspace estimation and decomposition for hybrid analog-digital millimeter-wave MIMO systems publication-title: Proc IEEE 16th Int Workshop Signal Process Adv Wireless Commun (SPAWC) – ident: ref10 doi: 10.1109/JSAC.2009.091009 – ident: ref6 doi: 10.1109/TWC.2014.011714.130846 – year: 1996 ident: ref22 publication-title: Matrix Computations – ident: ref4 doi: 10.1109/TSP.2005.857024 – ident: ref28 doi: 10.1109/TSP.2007.896058 – ident: ref20 doi: 10.1137/1.9781611970739.ch1 – ident: ref27 doi: 10.1109/TCOMM.2003.814195 – year: 2015 ident: ref1 article-title: On the pulse of the networked society – year: 2011 ident: ref31 article-title: Spatial channel model for multiple input multiple output (MIMO) simulations – ident: ref24 doi: 10.1137/120887795 – ident: ref23 doi: 10.1109/ICASSP.2015.7178507 – ident: ref5 doi: 10.1109/TSP.2010.2048321 – volume: 54 start-page: 4311 year: 2006 ident: ref25 article-title: K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation publication-title: IEEE Trans Signal Process doi: 10.1109/TSP.2006.881199 – ident: ref15 doi: 10.1109/TSP.2004.832000 – ident: ref16 doi: 10.1109/TSP.2007.896901 – ident: ref13 doi: 10.1109/ICC.2012.6363634 – start-page: 1 year: 0 ident: ref8 article-title: Mixed analog/digital beamforming for 60 GHz MIMO frequency selective channels publication-title: Proc IEEE Int Conf Commun (ICC) – start-page: 509 year: 0 ident: ref3 article-title: 1.25 Gbps wireless Gigabit ethernet link at 60 GHz-band publication-title: Proc IEEE Radio Freq Integr Circuits (RFIC) Symp – start-page: 1 year: 0 ident: ref2 article-title: A 500 Mbps 60 GHz-band transceiver for IEEE 1394 wireless home networks publication-title: Proc 30th Eur Microw Conf – ident: ref30 doi: 10.1109/TIT.2011.2165129
SSID	ssj0057614
Score	2.5136087
Snippet	Channel estimation and precoding in hybrid analog-digital millimeter-wave (mmWave) MIMO systems is a fundamental problem that has yet to be addressed, before...
SourceID	swepub proquest crossref ieee
SourceType	Open Access Repository Aggregation Database Enrichment Source Index Database Publisher
StartPage	528
SubjectTerms	Algorithms Analog-digital conversion Arnoldi iteration Cascades Channel estimation Channels Context Decomposition echo-based channel estimation Estimation hybrid architecture hybrid precoding Iterative algorithms Millimeter wave MIMO systems MIMO MIMO (control systems) Obstacles Signal processing algorithms sparse channel estimation subspace decomposition subspace estimation Subspaces
Title	Subspace Estimation and Decomposition for Large Millimeter-Wave MIMO Systems
URI	https://ieeexplore.ieee.org/document/7439748 https://www.proquest.com/docview/1787143540 https://www.proquest.com/docview/1816039797 https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187827
Volume	10
WOSCitedRecordID	wos000375114900008&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVIEE databaseName: IEEE/IET Electronic Library (IEL) (UW System Shared) customDbUrl: eissn: 1941-0484 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0057614 issn: 1941-0484 databaseCode: RIE dateStart: 20070101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1bS-wwEB5c8UEfvIv1coggvmjdbpttkkc5KkdYL-D1LaRJiss5dkV3_f1nps0WBTlw3nqZhpDJ5ZvOzDcA-zLLfNqzPM6syGJeFmVsOBornrvcZX1ZqNrR_jAQV1fy6UndzMBRmwvjva-Dz_wxXda-fDeyE_pV1iXwLLjsQEcI0eRqTXddhM294EFOY97vZ9MEmUR1cYrf3lAUV36c9omRTn45hOqqKl8B5mfS0PqgOV_6vy4uw2IAlOykmQErMOOrVVj4RDO4BgPaHdA29uwMF3STq8hM5dipp4jyELbFEL6yAQWGM0oQHL5QoEz8aD7w_uLymgVu83W4Pz-7-_krDlUUYpvl-TgulBNWlOQgMy6VaFCYskDg5Y1AXSib5jIppHKOFy73KbcJcdwVCp9b4bjNNmC2GlV-ExgxxSCis-R65CZJjcG2cEB5KfOitDyC3nRYtQ0U41Tp4o-uTY1E6VoVmlShgyoiOGy_eW0INv4pvUZj3kqG4Y5gZ6o9Hdbgu0ZxKu6OkDSCvfY1rh5yiZjKjyYoI6nMthJKRHDQaL1tm4i3T4cPJxoVrH-Pn1EY4ZTY-r4L2zBPHW2CenZgdvw28bswZz_Gw_e3H_Vc_Qt7tuXC
linkProvider	IEEE
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LT9wwEB5RilR66AuqpqWtK6Fe2kA2cWL7iAoI1OyyElvKzXJsR10B2Qp2-f2dSbwRK1WVestjYlkeP77JzHwDsCuzzKcDy-PMiizmdVXHhqOx4rkrXJbLSrWO9otSjEby8lKN1-BrnwvjvW-Dz_weXba-fDezC_pVtk_gWXD5CB7nnKeDLltrue8icB4EH3Ia8zzPlikyidrHSX4-pjiuYi_NiZNOrhxDbV2VVYj5kDa0PWqOn_9fJ1_AswAp2UE3B17Cmm9ewdMHRINbUNL-gNaxZ0e4pLtsRWYaxw49xZSHwC2GAJaVFBrOKEVwekOhMvFPc4_3p8MzFtjNt-HH8dHk20kc6ijENiuKeVwpJ6yoyUVmXCrRpDB1hdDLG4HaUDYtZFJJ5RyvXOFTbhNiuasUPrfCcZu9hvVm1vg3wIgrBjGdJecjN0lqDLaFA8prWVS15REMlsOqbSAZp1oX17o1NhKlW1VoUoUOqojgS__N745i45_SWzTmvWQY7gh2ltrTYRXeaRSn8u4ISiP41L_G9UNOEdP42QJlJBXaVkKJCD53Wu_bJurtw-nFgUYF66v5LxRGQCXe_r0LH-HJyWRY6vJ09P0dbFKnuxCfHVif3y78e9iw9_Pp3e2Hdt7-AZQI6Qk
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Subspace+Estimation+and+Decomposition+for+Large+Millimeter-Wave+MIMO+Systems&rft.jtitle=IEEE+journal+of+selected+topics+in+signal+processing&rft.au=Ghauch%2C+Hadi&rft.au=Kim%2C+Taejoon&rft.au=Bengtsson%2C+Mats&rft.au=Skoglund%2C+Mikael&rft.date=2016-04-01&rft.issn=1941-0484&rft.volume=10&rft.issue=3&rft.spage=528&rft_id=info:doi/10.1109%2FJSTSP.2016.2538178&rft.externalDocID=oai_DiVA_org_kth_187827
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1932-4553&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1932-4553&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1932-4553&client=summon