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

M. Simarro, V. García, F. Martínez-Zaldívar, Alberto González, A. Vidal
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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.
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基于盒优化的大型系统SUMIS MIMO软检测复杂度降低
提出了一种用于软输出MIMO检测的SUMIS-BO算法。该方法是对“子空间边缘干扰抑制”(SUMIS)算法的改进。该算法具有较好的性能和较低的复杂度,并与使用不同系统参数的SUMIS算法在性能和效率方面进行了评估和比较。结果表明,SUMIS- bo算法的性能与SUMIS算法相当,但效率有所提高。新算法比SUMIS要高效得多,尤其是在大型系统中。
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