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Regularized successive interference cancellation (SIC) under mismatched modeling

Conference Paper


Abstract


  • Successive interference cancellation (SIC) has been extensively applied to estimate transmit signals in communication systems. When the channel state information (CSI) and noise statistics are imperfectly estimated, the standard SIC estimators that ignore the model mismatch may perform poorly. This paper introduces regularized SIC estimation to provide robustness against the model mismatch. Suboptimal, low-complexity implementations using (sorted) QR decomposition and approximate choice of regularization parameters are also introduced. Simulation examples demonstrate that the regularized SIC estimators can significantly outperform the standard version. © 2014 IEEE.

Publication Date


  • 2014

Citation


  • J. Tong, L. Li, Q. Guo, P. J. Schreier & J. Xi, "Regularized successive interference cancellation (SIC) under mismatched modeling," in IEEE Workshop on Statistical Signal Processing Proceedings, 2014, pp. 328-331.

Scopus Eid


  • 2-s2.0-84907408956

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3507

Start Page


  • 328

End Page


  • 331

Place Of Publication


  • United States

Abstract


  • Successive interference cancellation (SIC) has been extensively applied to estimate transmit signals in communication systems. When the channel state information (CSI) and noise statistics are imperfectly estimated, the standard SIC estimators that ignore the model mismatch may perform poorly. This paper introduces regularized SIC estimation to provide robustness against the model mismatch. Suboptimal, low-complexity implementations using (sorted) QR decomposition and approximate choice of regularization parameters are also introduced. Simulation examples demonstrate that the regularized SIC estimators can significantly outperform the standard version. © 2014 IEEE.

Publication Date


  • 2014

Citation


  • J. Tong, L. Li, Q. Guo, P. J. Schreier & J. Xi, "Regularized successive interference cancellation (SIC) under mismatched modeling," in IEEE Workshop on Statistical Signal Processing Proceedings, 2014, pp. 328-331.

Scopus Eid


  • 2-s2.0-84907408956

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3507

Start Page


  • 328

End Page


  • 331

Place Of Publication


  • United States