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

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

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

Originalsprache	englisch
Titel	IEEE 6th Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Seiten	945-949
DOIs	https://doi.org/10.1109/SPAWC.2005.1506279
Publikationsstatus	Veröffentlicht - 5 Juni 2005
Extern publiziert	Ja
Veranstaltung	IEEE 6th Workshop on Signal Processing Advances in Wireless Communications: SPAWC 2005 - New York, NY, USA / Vereinigte Staaten Dauer: 5 Juni 2005 → 8 Juni 2005

Konferenz

Konferenz	IEEE 6th Workshop on Signal Processing Advances in Wireless Communications
Kurztitel	SPAWC 2005
Land/Gebiet	USA / Vereinigte Staaten
Ort	New York, NY
Zeitraum	5/06/05 → 8/06/05

Zugriff auf Dokument

10.1109/SPAWC.2005.1506279

Dieses zitieren

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). S. 945-949, IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, New York, NY, USA / Vereinigte Staaten, 5/06/05. https://doi.org/10.1109/SPAWC.2005.1506279

@inproceedings{a4fa2a7cc9c44c8eb9b67482e42fea87,

title = "Interpolation-based QR-decomposition in MIMO-OFDM systems",

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",

year = "2005",

month = jun,

day = "5",

doi = "10.1109/SPAWC.2005.1506279",

language = "English",

pages = "945--949",

booktitle = "IEEE 6th Workshop on Signal Processing Advances in Wireless Communications (SPAWC)",

note = "IEEE 6th Workshop on Signal Processing Advances in Wireless Communications : SPAWC 2005, SPAWC 2005 ; Conference date: 05-06-2005 Through 08-06-2005",

}

TY - GEN

T1 - Interpolation-based QR-decomposition in MIMO-OFDM systems

AU - Hansen, Jan

AU - Cescato, Davide

AU - Borgmann, Moritz

AU - Boelcskei, Helmut

PY - 2005/6/5

Y1 - 2005/6/5

N2 - 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

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

U2 - 10.1109/SPAWC.2005.1506279

DO - 10.1109/SPAWC.2005.1506279

M3 - Conference paper

SP - 945

EP - 949

BT - IEEE 6th Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

T2 - IEEE 6th Workshop on Signal Processing Advances in Wireless Communications

Y2 - 5 June 2005 through 8 June 2005

ER -