Interpolation-based QR decomposition in MIMO-OFDM systems

Authors

Davide Cescato, Moritz Borgmann, Helmut Bölcskei, Jan Hansen, and Andreas Burg

Reference

Proc. of IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications (SPAWC), New York, NY, USA, pp. 945-949, June 2005, (invited paper)

DOI: 10.1109/SPAWC.2005.1506279

[BibTeX, LaTeX, and HTML Reference]

Abstract

The extension of multiple-input multiple-output (MIMO) sphere decoding from the narrowband case to wideband systems based on orthogonal frequency division multiplexing (OFDM) requires the computation of a QR decomposition for each of the data-carrying OFDM tones. Since the number of data-carrying tones ranges from 48 (as in the IEEE 802.11a/g standards) to 6817 (as in the DVB-T standard), the corresponding computational complexity will in general be significant. This paper presents two algorithms for interpolation-based QR decomposition in MIMO-OFDM systems. An in-depth computational complexity analysis shows that the proposed algorithms, for a sufficiently high number of data-carrying tones and small channel order, exhibit significantly smaller complexity than brute-force per-tone QR decomposition.

Keywords

Interpolation, MIMO, OFDM, QR decomposition

Minor correction in the definition of A(s)~(V1,V2) and in the first two lines after (11) compared to the paper in the proceedings. Corrected version posted.


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