Channel-based multi-dimensional set partitioning for MIMO reduced-state sequence estimation

Myoung Seok Kim; Jaesang Ham; Chungyong Lee

doi:10.1109/LCOMM.2010.081910.100885

Channel-based multi-dimensional set partitioning for MIMO reduced-state sequence estimation

Myoung Seok Kim, Jaesang Ham, Chungyong Lee

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

A multi-dimensional set partitioning (MDSP) is proposed for reduced-state sequence estimation of multi-path fading multiple input multiple output (MIMO) channels. The proposed MDSP takes channel state information into account when making a set partition because MIMO channels change the distance between symbol vectors in a multi-dimensional constellation. To reduce complexity of the proposed MDSP, we propose an efficient MDSP algorithm which exploits only typical error vectors for partitioning.

Original language	English
Article number	5560172
Pages (from-to)	903-905
Number of pages	3
Journal	IEEE Communications Letters
Volume	14
Issue number	10
DOIs	https://doi.org/10.1109/LCOMM.2010.081910.100885
Publication status	Published - 2010 Oct

All Science Journal Classification (ASJC) codes

Modelling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/LCOMM.2010.081910.100885

Cite this

@article{625c698044f84a779d8ac3f579ef7591,

title = "Channel-based multi-dimensional set partitioning for MIMO reduced-state sequence estimation",

abstract = "A multi-dimensional set partitioning (MDSP) is proposed for reduced-state sequence estimation of multi-path fading multiple input multiple output (MIMO) channels. The proposed MDSP takes channel state information into account when making a set partition because MIMO channels change the distance between symbol vectors in a multi-dimensional constellation. To reduce complexity of the proposed MDSP, we propose an efficient MDSP algorithm which exploits only typical error vectors for partitioning.",

author = "Kim, {Myoung Seok} and Jaesang Ham and Chungyong Lee",

year = "2010",

month = oct,

doi = "10.1109/LCOMM.2010.081910.100885",

language = "English",

volume = "14",

pages = "903--905",

journal = "IEEE Communications Letters",

issn = "1089-7798",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "10",

}

TY - JOUR

T1 - Channel-based multi-dimensional set partitioning for MIMO reduced-state sequence estimation

AU - Kim, Myoung Seok

AU - Ham, Jaesang

AU - Lee, Chungyong

PY - 2010/10

Y1 - 2010/10

N2 - A multi-dimensional set partitioning (MDSP) is proposed for reduced-state sequence estimation of multi-path fading multiple input multiple output (MIMO) channels. The proposed MDSP takes channel state information into account when making a set partition because MIMO channels change the distance between symbol vectors in a multi-dimensional constellation. To reduce complexity of the proposed MDSP, we propose an efficient MDSP algorithm which exploits only typical error vectors for partitioning.

AB - A multi-dimensional set partitioning (MDSP) is proposed for reduced-state sequence estimation of multi-path fading multiple input multiple output (MIMO) channels. The proposed MDSP takes channel state information into account when making a set partition because MIMO channels change the distance between symbol vectors in a multi-dimensional constellation. To reduce complexity of the proposed MDSP, we propose an efficient MDSP algorithm which exploits only typical error vectors for partitioning.

UR - http://www.scopus.com/inward/record.url?scp=77957800551&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77957800551&partnerID=8YFLogxK

U2 - 10.1109/LCOMM.2010.081910.100885

DO - 10.1109/LCOMM.2010.081910.100885

M3 - Article

AN - SCOPUS:77957800551

SN - 1089-7798

VL - 14

SP - 903

EP - 905

JO - IEEE Communications Letters

JF - IEEE Communications Letters

IS - 10

M1 - 5560172

ER -

Channel-based multi-dimensional set partitioning for MIMO reduced-state sequence estimation

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this