Approximative matrix inverse computations for very-large MIMO and applications to linear pre-coding systems
Prabhu H, Rodrigues J, Edfors O, Rusek F (2013)
Publication Type: Conference contribution
Publication year: 2013
Pages Range: 2710-2715
Conference Proceedings Title: IEEE Wireless Communications and Networking Conference, WCNC
Event location: CHN
ISBN: 9781467359399
DOI: 10.1109/WCNC.2013.6554990
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. © 2013 IEEE.
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APA:
Prabhu, H., Rodrigues, J., Edfors, O., & Rusek, F. (2013). Approximative matrix inverse computations for very-large MIMO and applications to linear pre-coding systems. In IEEE Wireless Communications and Networking Conference, WCNC (pp. 2710-2715). CHN.
MLA:
Prabhu, Hemanth, et al. "Approximative matrix inverse computations for very-large MIMO and applications to linear pre-coding systems." Proceedings of the 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013, CHN 2013. 2710-2715.
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