ICASSP 2016accepted0 citations

Complexity reduction of SUMIS MIMO soft detection based on box optimization for large systems

M. Ángeles Simarro, Víctor M. García, Francisco-Jose Martínez-Zaldívar, Alberto González, Antonio M. Vidal

Abstract

A new algorithm called SUMIS-BO is proposed for soft-output MIMO detection. This method is a meaningful improvement of the "Subspace Marginalization with Interference Suppression" (SUMIS) algorithm. It exhibits good performance with reduced complexity and has been evaluated and compared in terms of performance and efficiency with the SUMIS algorithm using different system parameters. Results show that the performance of the SUMIS-BO is similar to the SUMIS algorithm, however its efficiency is improved. The new algorithm is far more efficient than SUMIS, especially with large systems.

BibTeX
@inproceedings{icassp2016_complexityreduct,
  title = {Complexity reduction of SUMIS MIMO soft detection based on box optimization for large systems},
  author = {M. Ángeles Simarro and Víctor M. García and Francisco-Jose Martínez-Zaldívar and Alberto González and Antonio M. Vidal},
  booktitle = {ICASSP 2016},
  year = {2016}
}
Complexity reduction of SUMIS MIMO soft detection based on box optimization for large systems · ICASSP 2016