Combined version of signal position-based adaptive QRD-M algorithm with other QRD-M algorithms for MIMO system

Hyunwoo Yoo; Myung Yong Yoon; Beom Soo Shin; Sangyeol Oh; Jae Hoon Lee

doi:10.2316/P.2012.773-029

Combined version of signal position-based adaptive QRD-M algorithm with other QRD-M algorithms for MIMO system

Hyunwoo Yoo, Myung Yong Yoon, Beom Soo Shin, Sangyeol Oh, Jae Hoon Lee

Division of Computer and Communication Engineering

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

Abstract

For MIMO systems, The QRD-M algorithm is a sub-optimal detection algorithm that achieves near-MLD performance with low complexity. In a previous work, we proposed a novel algorithm, termed signal position-based adaptive QRD-M, to solve a problem that some algorithms chose even paths that have unnecessarily low reliability as surviving paths. The algorithm can readily be combined with other QRD-M algorithms and get higher complexity reduction efficiency. In this paper, we present a combined version of the signal position-based adaptive QRD-M with the channel condition-based adaptive QRD-M to examine the combinability. Computer simulations demonstrate that the combined version achieves near-MLD performance with reduced complexity.

Original language	English
Title of host publication	Proceedings of the IASTED International Conference on Communication, Internet, and Information Technology, CIIT 2012
Pages	412-416
Number of pages	5
DOIs	https://doi.org/10.2316/P.2012.773-029
Publication status	Published - 2012 Aug 6
Event	International Conference on Communication, Internet, and Information Technology, CIIT 2012 - Baltimore, MD, United States Duration: 2012 May 14 → 2012 May 16

Other

Other	International Conference on Communication, Internet, and Information Technology, CIIT 2012
Country	United States
City	Baltimore, MD
Period	12/5/14 → 12/5/16

Keywords

Detection
MIMO system
QRD-M algorithm

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

Access to Document

10.2316/P.2012.773-029

Fingerprint Dive into the research topics of 'Combined version of signal position-based adaptive QRD-M algorithm with other QRD-M algorithms for MIMO system'. Together they form a unique fingerprint.

Cite this

Yoo, H., Yoon, M. Y., Shin, B. S., Oh, S., & Lee, J. H. (2012). Combined version of signal position-based adaptive QRD-M algorithm with other QRD-M algorithms for MIMO system. In Proceedings of the IASTED International Conference on Communication, Internet, and Information Technology, CIIT 2012 (pp. 412-416) https://doi.org/10.2316/P.2012.773-029

Combined version of signal position-based adaptive QRD-M algorithm with other QRD-M algorithms for MIMO system. / Yoo, Hyunwoo; Yoon, Myung Yong; Shin, Beom Soo; Oh, Sangyeol; Lee, Jae Hoon.

Proceedings of the IASTED International Conference on Communication, Internet, and Information Technology, CIIT 2012. 2012. p. 412-416.

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

Yoo, H, Yoon, MY, Shin, BS, Oh, S & Lee, JH 2012, Combined version of signal position-based adaptive QRD-M algorithm with other QRD-M algorithms for MIMO system. in Proceedings of the IASTED International Conference on Communication, Internet, and Information Technology, CIIT 2012. pp. 412-416, International Conference on Communication, Internet, and Information Technology, CIIT 2012, Baltimore, MD, United States, 12/5/14. https://doi.org/10.2316/P.2012.773-029

@inproceedings{aba005e88112434fa7d4ab03a4c6941e,

title = "Combined version of signal position-based adaptive QRD-M algorithm with other QRD-M algorithms for MIMO system",

abstract = "For MIMO systems, The QRD-M algorithm is a sub-optimal detection algorithm that achieves near-MLD performance with low complexity. In a previous work, we proposed a novel algorithm, termed signal position-based adaptive QRD-M, to solve a problem that some algorithms chose even paths that have unnecessarily low reliability as surviving paths. The algorithm can readily be combined with other QRD-M algorithms and get higher complexity reduction efficiency. In this paper, we present a combined version of the signal position-based adaptive QRD-M with the channel condition-based adaptive QRD-M to examine the combinability. Computer simulations demonstrate that the combined version achieves near-MLD performance with reduced complexity.",

keywords = "Detection, MIMO system, QRD-M algorithm",

author = "Hyunwoo Yoo and Yoon, {Myung Yong} and Shin, {Beom Soo} and Sangyeol Oh and Lee, {Jae Hoon}",

year = "2012",

month = aug,

day = "6",

doi = "10.2316/P.2012.773-029",

language = "English",

isbn = "9780889869202",

pages = "412--416",

booktitle = "Proceedings of the IASTED International Conference on Communication, Internet, and Information Technology, CIIT 2012",

note = "International Conference on Communication, Internet, and Information Technology, CIIT 2012 ; Conference date: 14-05-2012 Through 16-05-2012",

}

TY - GEN

T1 - Combined version of signal position-based adaptive QRD-M algorithm with other QRD-M algorithms for MIMO system

AU - Yoo, Hyunwoo

AU - Yoon, Myung Yong

AU - Shin, Beom Soo

AU - Oh, Sangyeol

AU - Lee, Jae Hoon

PY - 2012/8/6

Y1 - 2012/8/6

N2 - For MIMO systems, The QRD-M algorithm is a sub-optimal detection algorithm that achieves near-MLD performance with low complexity. In a previous work, we proposed a novel algorithm, termed signal position-based adaptive QRD-M, to solve a problem that some algorithms chose even paths that have unnecessarily low reliability as surviving paths. The algorithm can readily be combined with other QRD-M algorithms and get higher complexity reduction efficiency. In this paper, we present a combined version of the signal position-based adaptive QRD-M with the channel condition-based adaptive QRD-M to examine the combinability. Computer simulations demonstrate that the combined version achieves near-MLD performance with reduced complexity.

AB - For MIMO systems, The QRD-M algorithm is a sub-optimal detection algorithm that achieves near-MLD performance with low complexity. In a previous work, we proposed a novel algorithm, termed signal position-based adaptive QRD-M, to solve a problem that some algorithms chose even paths that have unnecessarily low reliability as surviving paths. The algorithm can readily be combined with other QRD-M algorithms and get higher complexity reduction efficiency. In this paper, we present a combined version of the signal position-based adaptive QRD-M with the channel condition-based adaptive QRD-M to examine the combinability. Computer simulations demonstrate that the combined version achieves near-MLD performance with reduced complexity.

KW - Detection

KW - MIMO system

KW - QRD-M algorithm

UR - http://www.scopus.com/inward/record.url?scp=84864421209&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84864421209&partnerID=8YFLogxK

U2 - 10.2316/P.2012.773-029

DO - 10.2316/P.2012.773-029

M3 - Conference contribution

AN - SCOPUS:84864421209

SN - 9780889869202

SP - 412

EP - 416

BT - Proceedings of the IASTED International Conference on Communication, Internet, and Information Technology, CIIT 2012

T2 - International Conference on Communication, Internet, and Information Technology, CIIT 2012

Y2 - 14 May 2012 through 16 May 2012

ER -