Lattice-reduction aided optimum and sub-optimum SIC detection for MIMO systems

Sung Ho Lim; Ji Woong Choi

doi:10.1109/VTCFall.2015.7391004

Lattice-reduction aided optimum and sub-optimum SIC detection for MIMO systems

Sung Ho Lim, Ji Woong Choi

Department of Electrical Engineering and Computer Science

Daegu Gyeongbuk Institute of Science and Technology

Research output: Contribution to journal › Conference article › peer-review

Abstract

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 LR-aided allordering successive interference cancellation (LR-AOSIC) as an optimum successive interference cancellation (SIC) detector showing near-ML performance almost unaffected by channel correlation and modulation order. In addition, LR-OSIC 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.

Original language	English
Article number	7391004
Journal	IEEE Vehicular Technology Conference
DOIs	https://doi.org/10.1109/VTCFall.2015.7391004
State	Published - 2015
Event	82nd IEEE Vehicular Technology Conference, VTC Fall 2015 - Boston, United States Duration: 6 Sep 2015 → 9 Sep 2015

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Lattice reduction
Local search algorithm
Spatial multiplexing MIMO (SM MIMO)
Successive interference cancellation

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10.1109/VTCFall.2015.7391004

Cite this

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title = "Lattice-reduction aided optimum and sub-optimum SIC detection for MIMO systems",

abstract = "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 LR-aided allordering successive interference cancellation (LR-AOSIC) as an optimum successive interference cancellation (SIC) detector showing near-ML performance almost unaffected by channel correlation and modulation order. In addition, LR-OSIC 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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Lattice-reduction aided optimum and sub-optimum SIC detection for MIMO systems

Abstract

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Keywords

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