NDLI: Approximative matrix inverse computations for very-large MIMO and applications to linear pre-coding systems

Content Provider	IEEE Xplore Digital Library
Author	Prabhu, Hemanth Rodrigues, Joachim Edfors, Ove Rusek, Fredrik
Copyright Year	2013
Description	Author affiliation: Department of Electrical and Information Technology, Lund University, Sweden (Prabhu, Hemanth; Rodrigues, Joachim; Edfors, Ove; Rusek, Fredrik)
Abstract	In very-large multiple-input multiple-output (MIMO) systems, the base station (BS) is equipped with very large number of antennas as compared to previously considered systems. There are various advantages of increasing the number of antennas, and some schemes require handling large matrices for joint processing (pre-coding) at the BS. The dirty paper coding (DPC) is an optimal pre-coding scheme and has a very high complexity. However, with increasing number of BS antennas, linear pre-coding performance tends to that of the optimal DPC. Although linear pre-coding is less complex than DPC, there is a need to compute pseudo inverses of large matrices. In this paper we present a low complexity approximation of down-link Zero Forcing (ZF) linear pre-coding for very-large multi-user MIMO systems. Approximation using a Neumann series expansion is opted for inversion of matrices over traditional exact computations, by making use of special properties of the matrices, thereby reducing the cost of hardware. With this approximation of linear pre-coding, we can significantly reduce the computational complexity for large enough systems, i.e., where we have enough BS antenna elements. For the investigated case of 8 users, we obtain 90% of the full ZF sum rate, with lower computational complexity, when the number of BS antennas per user is about 20 or more.
Starting Page	2710
Ending Page	2715
File Size	340576
Page Count	6
File Format	PDF
ISBN	9781467359382
ISSN	15253511
e-ISBN	9781467359399
e-ISBN	9781467359375
DOI	10.1109/WCNC.2013.6554990
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Complexity theory Approximation methods Antennas Eigenvalues and eigenfunctions MIMO Hardware
Content Type	Text
Resource Type	Article

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