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...

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Veröffentlicht in:	IEEE journal of selected topics in signal processing Jg. 10; H. 3; S. 528 - 542
Hauptverfasser:	Ghauch, Hadi, Taejoon Kim, Bengtsson, Mats, Skoglund, Mikael
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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-Zugang:	Volltext
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