Improved MIMO SIC detection exploiting ML criterion

Ji Woong Choi; Jungwon Lee; Hui Ling Lou; Jongsun Park

doi:10.1109/VETECF.2011.6093071

Improved MIMO SIC detection exploiting ML criterion

Ji Woong Choi, Jungwon Lee, Hui Ling Lou, Jongsun Park

School of Electrical Engineering

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

3 Citations (Scopus)

Abstract

In this paper, we propose an improved MIMO successive interference cancellation (SIC) detector taking maximum likelihood (ML) criterion into account. Applying the ML criterion to multiple candidates obtained from all possible orderings of streams in the SIC, the proposed method can provide improved performance with complexity comparable to conventional ordered SIC for moderate number of spatial streams

Original language	English
Title of host publication	2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings
DOIs	https://doi.org/10.1109/VETECF.2011.6093071
Publication status	Published - 2011
Event	IEEE 74th Vehicular Technology Conference, VTC Fall 2011 - San Francisco, CA, United States Duration: 2011 Sept 5 → 2011 Sept 8

Publication series

Name	IEEE Vehicular Technology Conference
ISSN (Print)	1550-2252

Other

Other	IEEE 74th Vehicular Technology Conference, VTC Fall 2011
Country/Territory	United States
City	San Francisco, CA
Period	11/9/5 → 11/9/8

Keywords

MIMO spatial multiplexing
maximum likelihood (ML) criterion
successive interference cancellation (SIC)

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Access to Document

10.1109/VETECF.2011.6093071

Cite this

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title = "Improved MIMO SIC detection exploiting ML criterion",

abstract = "In this paper, we propose an improved MIMO successive interference cancellation (SIC) detector taking maximum likelihood (ML) criterion into account. Applying the ML criterion to multiple candidates obtained from all possible orderings of streams in the SIC, the proposed method can provide improved performance with complexity comparable to conventional ordered SIC for moderate number of spatial streams",

keywords = "MIMO spatial multiplexing, maximum likelihood (ML) criterion, successive interference cancellation (SIC)",

author = "Choi, {Ji Woong} and Jungwon Lee and Lou, {Hui Ling} and Jongsun Park",

year = "2011",

doi = "10.1109/VETECF.2011.6093071",

language = "English",

isbn = "9781424483273",

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note = "IEEE 74th Vehicular Technology Conference, VTC Fall 2011 ; Conference date: 05-09-2011 Through 08-09-2011",

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T1 - Improved MIMO SIC detection exploiting ML criterion

AU - Choi, Ji Woong

AU - Lee, Jungwon

AU - Lou, Hui Ling

AU - Park, Jongsun

PY - 2011

Y1 - 2011

N2 - In this paper, we propose an improved MIMO successive interference cancellation (SIC) detector taking maximum likelihood (ML) criterion into account. Applying the ML criterion to multiple candidates obtained from all possible orderings of streams in the SIC, the proposed method can provide improved performance with complexity comparable to conventional ordered SIC for moderate number of spatial streams

AB - In this paper, we propose an improved MIMO successive interference cancellation (SIC) detector taking maximum likelihood (ML) criterion into account. Applying the ML criterion to multiple candidates obtained from all possible orderings of streams in the SIC, the proposed method can provide improved performance with complexity comparable to conventional ordered SIC for moderate number of spatial streams

KW - MIMO spatial multiplexing

KW - maximum likelihood (ML) criterion

KW - successive interference cancellation (SIC)

UR - http://www.scopus.com/inward/record.url?scp=83755169167&partnerID=8YFLogxK

U2 - 10.1109/VETECF.2011.6093071

DO - 10.1109/VETECF.2011.6093071

M3 - Conference contribution

AN - SCOPUS:83755169167

SN - 9781424483273

T3 - IEEE Vehicular Technology Conference

BT - 2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings

T2 - IEEE 74th Vehicular Technology Conference, VTC Fall 2011

Y2 - 5 September 2011 through 8 September 2011

ER -

Improved MIMO SIC detection exploiting ML criterion

Abstract

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Keywords

ASJC Scopus subject areas

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