Lattice reduction-aided successive interference cancelation for MIMO interference channels

Jaehyun Park; Bruno Clerckx; Joohwan Chun; Byung Jang Jeong

doi:10.1109/TVT.2014.2302323

Lattice reduction-aided successive interference cancelation for MIMO interference channels

Jaehyun Park, Bruno Clerckx, Joohwan Chun, Byung Jang Jeong

School of Electrical Engineering

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

4 Citations (Scopus)

Abstract

In multiple-input-multiple-ouput (MIMO) interference channels (IFCs), interference alignment (IA) with zero-forcing (ZF) linear detection can be used to achieve the maximum degrees of freedom (DoFs). However, ZF linear detection usually degrades the performance due to the noise enhancement in practical systems. In this paper, we propose lattice reduction (LR)-aided successive interference cancelation (SIC) in conjunction with IA over lattice for three-user (and extendable to K-user) MIMO IFCs in which the interfering signals aligned over the lattices are detected and canceled rather than nulled out. To complete the proposed LR-aided SIC method, the detection ordering and the precoding matrix that minimize the mean square error are also determined.

Original language	English
Article number	6720210
Pages (from-to)	4131-4135
Number of pages	5
Journal	IEEE Transactions on Vehicular Technology
Volume	63
Issue number	8
DOIs	https://doi.org/10.1109/TVT.2014.2302323
Publication status	Published - 2014 Oct 1

Keywords

Interference alignment
interference cancelation
interference channel
lattice reduction

ASJC Scopus subject areas

Automotive Engineering
Aerospace Engineering
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/TVT.2014.2302323

Cite this

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title = "Lattice reduction-aided successive interference cancelation for MIMO interference channels",

abstract = "In multiple-input-multiple-ouput (MIMO) interference channels (IFCs), interference alignment (IA) with zero-forcing (ZF) linear detection can be used to achieve the maximum degrees of freedom (DoFs). However, ZF linear detection usually degrades the performance due to the noise enhancement in practical systems. In this paper, we propose lattice reduction (LR)-aided successive interference cancelation (SIC) in conjunction with IA over lattice for three-user (and extendable to K-user) MIMO IFCs in which the interfering signals aligned over the lattices are detected and canceled rather than nulled out. To complete the proposed LR-aided SIC method, the detection ordering and the precoding matrix that minimize the mean square error are also determined.",

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author = "Jaehyun Park and Bruno Clerckx and Joohwan Chun and Jeong, {Byung Jang}",

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AU - Park, Jaehyun

AU - Clerckx, Bruno

AU - Chun, Joohwan

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PY - 2014/10/1

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N2 - In multiple-input-multiple-ouput (MIMO) interference channels (IFCs), interference alignment (IA) with zero-forcing (ZF) linear detection can be used to achieve the maximum degrees of freedom (DoFs). However, ZF linear detection usually degrades the performance due to the noise enhancement in practical systems. In this paper, we propose lattice reduction (LR)-aided successive interference cancelation (SIC) in conjunction with IA over lattice for three-user (and extendable to K-user) MIMO IFCs in which the interfering signals aligned over the lattices are detected and canceled rather than nulled out. To complete the proposed LR-aided SIC method, the detection ordering and the precoding matrix that minimize the mean square error are also determined.

AB - In multiple-input-multiple-ouput (MIMO) interference channels (IFCs), interference alignment (IA) with zero-forcing (ZF) linear detection can be used to achieve the maximum degrees of freedom (DoFs). However, ZF linear detection usually degrades the performance due to the noise enhancement in practical systems. In this paper, we propose lattice reduction (LR)-aided successive interference cancelation (SIC) in conjunction with IA over lattice for three-user (and extendable to K-user) MIMO IFCs in which the interfering signals aligned over the lattices are detected and canceled rather than nulled out. To complete the proposed LR-aided SIC method, the detection ordering and the precoding matrix that minimize the mean square error are also determined.

KW - Interference alignment

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Lattice reduction-aided successive interference cancelation for MIMO interference channels

Abstract

Keywords

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