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arXiv · 0908.3463

Interpolation-Based QR Decomposition in MIMO-OFDM Systems

Davide Cescato·Helmut Bölcskei
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Abstract

Detection algorithms for multiple-input multiple-output (MIMO) wireless systems based on orthogonal frequency-division multiplexing (OFDM) typically require the computation of a QR decomposition for each of the data-carrying OFDM tones. The resulting computational complexity will, in general, be significant, as the number of data-carrying tones ranges from 48 (as in the IEEE 802.11a/g standards) to 1728 (as in the IEEE 802.16e standard). Motivated by the fact that the channel matrices arising in MIMO-OFDM systems are highly oversampled polynomial matrices, we formulate interpolation-based QR decomposition algorithms. An in-depth complexity analysis, based on a metric relevant for very large scale integration (VLSI) implementations, shows that the proposed algorithms, for sufficiently high number of data-carrying tones and sufficiently small channel order, provably exhibit significantly smaller complexity than brute-force per-tone QR decomposition.

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Davide Cescato, Helmut Bölcskei. 2009-10-30. Interpolation-Based QR Decomposition in MIMO-OFDM Systems. https://arxiv.org/abs/0908.3463

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