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.


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    Title :

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


    Contributors:


    Publication date :

    2015-09-01


    Size :

    452487 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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