Design of high-throughput MIMO detectors using sort-free and early-pruned techniques

Jing Shiun Lin; Shih Hao Fang; Yi Hsuan Jen; Ming Der Shieh

doi:10.1109/TENCON.2010.5686145

Design of high-throughput MIMO detectors using sort-free and early-pruned techniques

Jing Shiun Lin, Shih Hao Fang, Yi Hsuan Jen, Ming Der Shieh

Department of Electrical Engineering

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

4 Citations (Scopus)

Abstract

This paper presents a high-throughput multiple-input multiple-output (MIMO) signal detector based on the sort-free concept and the proposed mean-aided early-pruned scheme. The derived MIMO detector can reduce the number of node computation while maintaining the bit error rate (BER) performance of the conventional sort-free MIMO detection algorithm. Experimental results show that the proposed detector design with 4×4 antenna array and 16-QAM modulation has better normalized throughput rate compared to those of existing detectors under the same system configurations. Moreover, a significant reduction on node extensions can be achieved using the presented detection scheme compared with the conventional sort-free algorithm and the K-best algorithm.

Original language	English
Title of host publication	TENCON 2010 - 2010 IEEE Region 10 Conference
Pages	1513-1516
Number of pages	4
DOIs	https://doi.org/10.1109/TENCON.2010.5686145
Publication status	Published - 2010 Dec 1
Event	2010 IEEE Region 10 Conference, TENCON 2010 - Fukuoka, Japan Duration: 2010 Nov 21 → 2010 Nov 24

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON

Other

Other	2010 IEEE Region 10 Conference, TENCON 2010
Country/Territory	Japan
City	Fukuoka
Period	10-11-21 → 10-11-24

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering

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10.1109/TENCON.2010.5686145

Cite this

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title = "Design of high-throughput MIMO detectors using sort-free and early-pruned techniques",

abstract = "This paper presents a high-throughput multiple-input multiple-output (MIMO) signal detector based on the sort-free concept and the proposed mean-aided early-pruned scheme. The derived MIMO detector can reduce the number of node computation while maintaining the bit error rate (BER) performance of the conventional sort-free MIMO detection algorithm. Experimental results show that the proposed detector design with 4×4 antenna array and 16-QAM modulation has better normalized throughput rate compared to those of existing detectors under the same system configurations. Moreover, a significant reduction on node extensions can be achieved using the presented detection scheme compared with the conventional sort-free algorithm and the K-best algorithm.",

author = "Lin, {Jing Shiun} and Fang, {Shih Hao} and Jen, {Yi Hsuan} and Shieh, {Ming Der}",

year = "2010",

month = dec,

day = "1",

doi = "10.1109/TENCON.2010.5686145",

language = "English",

isbn = "9781424468904",

series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",

pages = "1513--1516",

booktitle = "TENCON 2010 - 2010 IEEE Region 10 Conference",

note = "2010 IEEE Region 10 Conference, TENCON 2010 ; Conference date: 21-11-2010 Through 24-11-2010",

}

Lin, JS, Fang, SH, Jen, YH & Shieh, MD 2010, Design of high-throughput MIMO detectors using sort-free and early-pruned techniques. in TENCON 2010 - 2010 IEEE Region 10 Conference., 5686145, IEEE Region 10 Annual International Conference, Proceedings/TENCON, pp. 1513-1516, 2010 IEEE Region 10 Conference, TENCON 2010, Fukuoka, Japan, 10-11-21. https://doi.org/10.1109/TENCON.2010.5686145

Design of high-throughput MIMO detectors using sort-free and early-pruned techniques. / Lin, Jing Shiun; Fang, Shih Hao; Jen, Yi Hsuan et al.

TENCON 2010 - 2010 IEEE Region 10 Conference. 2010. p. 1513-1516 5686145 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).

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

TY - GEN

T1 - Design of high-throughput MIMO detectors using sort-free and early-pruned techniques

AU - Lin, Jing Shiun

AU - Fang, Shih Hao

AU - Jen, Yi Hsuan

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PY - 2010/12/1

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N2 - This paper presents a high-throughput multiple-input multiple-output (MIMO) signal detector based on the sort-free concept and the proposed mean-aided early-pruned scheme. The derived MIMO detector can reduce the number of node computation while maintaining the bit error rate (BER) performance of the conventional sort-free MIMO detection algorithm. Experimental results show that the proposed detector design with 4×4 antenna array and 16-QAM modulation has better normalized throughput rate compared to those of existing detectors under the same system configurations. Moreover, a significant reduction on node extensions can be achieved using the presented detection scheme compared with the conventional sort-free algorithm and the K-best algorithm.

AB - This paper presents a high-throughput multiple-input multiple-output (MIMO) signal detector based on the sort-free concept and the proposed mean-aided early-pruned scheme. The derived MIMO detector can reduce the number of node computation while maintaining the bit error rate (BER) performance of the conventional sort-free MIMO detection algorithm. Experimental results show that the proposed detector design with 4×4 antenna array and 16-QAM modulation has better normalized throughput rate compared to those of existing detectors under the same system configurations. Moreover, a significant reduction on node extensions can be achieved using the presented detection scheme compared with the conventional sort-free algorithm and the K-best algorithm.

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Design of high-throughput MIMO detectors using sort-free and early-pruned techniques

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