Lattice reduction (LR) has been researched a lot in conjunction with ordered successive interference cancellation (OSIC), contributing large enhancement of the performance with relatively small complexity. However, the performance gap between the LR-aided OSIC (LR-OSIC) and maximum likelihood (ML) still exists. This paper suggests lattice reduction aided all- ordering SIC (LR-AOSIC) as an optimum SIC detector showing near-ML performance almost unaffected by channel correlation and modulation order. In addition, LR-aided ordered SIC using modified local search algorithm (LR-MLS-OSIC) is also proposed as a sub- optimum SIC detector to reduce the complexity of LR- AOSIC affordably, nearly maintaining the performance.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Lattice-Reduction Aided Optimum and Sub-Optimum SIC Detection for MIMO Systems


    Beteiligte:
    Lim, Sung-Ho (Autor:in) / Choi, Ji-Woong (Autor:in)


    Erscheinungsdatum :

    01.09.2015


    Format / Umfang :

    452487 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Lattice Reduction Aided Overloaded Multi-user MIMO

    Miyata, Kazuki / Denno, Satoshi / Hou, Yafei | IEEE | 2023


    Optimum Resource Allocation in MU-MIMO OFDMA Wireless Systems

    Bontu, Chandra S. / Ghimire, Jagadish / El-Keyi, Amr | IEEE | 2020


    Optimum Performance of Nonlinear MIMO-SVD Schemes

    Guerreiro, Joao / Dinis, Rui / Montezuma, Paulo | IEEE | 2021


    Optimum collision damage reduction system

    AHMAD OTHMAN BIN | Europäisches Patentamt | 2015

    Freier Zugriff

    Quasi-Optimum Detection of MIMO-SVD Signals with Strong Nonlinear Distortion Effects

    Goncalves, Joao / Nogueira, M. Teresa / Dinis, Daniel et al. | IEEE | 2024