Lattice reduction-aided successive interference cancelation for MIMO interference channels

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

    Research output: Contribution to journalArticlepeer-review

    5 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 languageEnglish
    Article number6720210
    Pages (from-to)4131-4135
    Number of pages5
    JournalIEEE Transactions on Vehicular Technology
    Volume63
    Issue number8
    DOIs
    Publication statusPublished - 2014 Oct 1

    Bibliographical note

    Publisher Copyright:
    © 2014 IEEE.

    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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