A low-complexity composite QR decomposition architecture for MIMO detector

Ji Hwan Yoon; Dongyeob Shin; Jongsun Park

doi:10.1109/ISCAS.2014.6865479

A low-complexity composite QR decomposition architecture for MIMO detector

Ji Hwan Yoon, Dongyeob Shin, Jongsun Park

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

This paper presents a low complexity QR decomposition (QRD) architecture for MIMO detector. In the proposed approach, various CORDIC-based QRD algorithms are efficiently combined together to reduce the computational complexity of the QRD hardware. Based on the computational complexity analysis on various QRD algorithms, a low complexity approach is selected at each stage of QRD process. The proposed QRD architecture can be applied to any arbitrary dimension of channel matrix, and the complexity reduction grows with the increasing matrix dimension. Our QR decomposition hardware was implemented using Samsung 0.13 technology. The numerical results show that the proposed architecture achieves 47% increase in the QAR (QRD Rate/Gate count) with 28.1% power savings over the conventional Householder CORDIC-based architecture for the 4×4 matrix decomposition.

Original language	English
Title of host publication	Proceedings - IEEE International Symposium on Circuits and Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1692-1695
Number of pages	4
ISBN (Print)	9781479934324
DOIs	https://doi.org/10.1109/ISCAS.2014.6865479
Publication status	Published - 2014 Jan 1
Event	2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 - Melbourne, VIC, Australia Duration: 2014 Jun 1 → 2014 Jun 5

Other

Other	2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014
Country/Territory	Australia
City	Melbourne, VIC
Period	14/6/1 → 14/6/5

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/ISCAS.2014.6865479

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Yoon, JH, Shin, D & Park, J 2014, A low-complexity composite QR decomposition architecture for MIMO detector. in Proceedings - IEEE International Symposium on Circuits and Systems., 6865479, Institute of Electrical and Electronics Engineers Inc., pp. 1692-1695, 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014, Melbourne, VIC, Australia, 14/6/1. https://doi.org/10.1109/ISCAS.2014.6865479

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abstract = "This paper presents a low complexity QR decomposition (QRD) architecture for MIMO detector. In the proposed approach, various CORDIC-based QRD algorithms are efficiently combined together to reduce the computational complexity of the QRD hardware. Based on the computational complexity analysis on various QRD algorithms, a low complexity approach is selected at each stage of QRD process. The proposed QRD architecture can be applied to any arbitrary dimension of channel matrix, and the complexity reduction grows with the increasing matrix dimension. Our QR decomposition hardware was implemented using Samsung 0.13 technology. The numerical results show that the proposed architecture achieves 47% increase in the QAR (QRD Rate/Gate count) with 28.1% power savings over the conventional Householder CORDIC-based architecture for the 4×4 matrix decomposition.",

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N2 - This paper presents a low complexity QR decomposition (QRD) architecture for MIMO detector. In the proposed approach, various CORDIC-based QRD algorithms are efficiently combined together to reduce the computational complexity of the QRD hardware. Based on the computational complexity analysis on various QRD algorithms, a low complexity approach is selected at each stage of QRD process. The proposed QRD architecture can be applied to any arbitrary dimension of channel matrix, and the complexity reduction grows with the increasing matrix dimension. Our QR decomposition hardware was implemented using Samsung 0.13 technology. The numerical results show that the proposed architecture achieves 47% increase in the QAR (QRD Rate/Gate count) with 28.1% power savings over the conventional Householder CORDIC-based architecture for the 4×4 matrix decomposition.

AB - This paper presents a low complexity QR decomposition (QRD) architecture for MIMO detector. In the proposed approach, various CORDIC-based QRD algorithms are efficiently combined together to reduce the computational complexity of the QRD hardware. Based on the computational complexity analysis on various QRD algorithms, a low complexity approach is selected at each stage of QRD process. The proposed QRD architecture can be applied to any arbitrary dimension of channel matrix, and the complexity reduction grows with the increasing matrix dimension. Our QR decomposition hardware was implemented using Samsung 0.13 technology. The numerical results show that the proposed architecture achieves 47% increase in the QAR (QRD Rate/Gate count) with 28.1% power savings over the conventional Householder CORDIC-based architecture for the 4×4 matrix decomposition.

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A low-complexity composite QR decomposition architecture for MIMO detector

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