Interpolation-based QR-decomposition in MIMO-OFDM systems

Jan  Hansen; Davide Cescato; Moritz Borgmann; Helmut Boelcskei

doi:10.1109/SPAWC.2005.1506279

Interpolation-based QR-decomposition in MIMO-OFDM systems

Jan Hansen, Davide Cescato, Moritz Borgmann, Helmut Boelcskei

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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

Original language	English
Title of host publication	IEEE 6th Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Pages	945-949
DOIs	https://doi.org/10.1109/SPAWC.2005.1506279
Publication status	Published - 5 Jun 2005
Externally published	Yes
Event	IEEE 6th Workshop on Signal Processing Advances in Wireless Communications: SPAWC 2005 - New York, NY, United States Duration: 5 Jun 2005 → 8 Jun 2005

Conference

Conference	IEEE 6th Workshop on Signal Processing Advances in Wireless Communications
Abbreviated title	SPAWC 2005
Country/Territory	United States
City	New York, NY
Period	5/06/05 → 8/06/05

Access to Document

10.1109/SPAWC.2005.1506279

Cite this

Hansen, J, Cescato, D, Borgmann, M & Boelcskei, H 2005, Interpolation-based QR-decomposition in MIMO-OFDM systems. in IEEE 6th Workshop on Signal Processing Advances in Wireless Communications (SPAWC). pp. 945-949, IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, New York, NY, United States, 5/06/05. https://doi.org/10.1109/SPAWC.2005.1506279

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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",

author = "Jan Hansen and Davide Cescato and Moritz Borgmann and Helmut Boelcskei",

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AB - 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

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