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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Vydáno v:	IEEE journal of selected topics in signal processing Ročník 10; číslo 3; s. 528 - 542
Hlavní autoři:	Ghauch, Hadi, Taejoon Kim, Bengtsson, Mats, Skoglund, Mikael
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.04.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
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Shrnutí:	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).
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ISSN:	1932-4553 1941-0484 1941-0484
DOI:	10.1109/JSTSP.2016.2538178