A scalable performance-complexity tradeoff for vector precoding by partial perturbation

C. Masouros, T. Ratnarajah, M. Sellathurai
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引用次数: 1

Abstract

We explore a performance-complexity tradeoff for vector precoding (VP) for the downlink of multi-user multiple input multiple output (MU-MIMO) systems. We introduce this tradeoff by employing a partial perturbation in the vector precoding, where the perturbation optimization is applied to a subset of the transmitted symbols. This greatly reduces complexity compared to conventional VP where the optimization involves all transmit symbols, at the expense of a reduced performance. We show that this tradeoff is scalable by means of the number of users to be perturbed and explore how it can be optimized by changing the size of this subset of users. The presented results show that partially perturbing the data provides a favorable performance-complexity tradeoff compared to conventional VP and increases the power efficiency of VP.
基于部分扰动的矢量预编码的可扩展性能复杂度权衡
我们探讨了多用户多输入多输出(MU-MIMO)系统下行链路的矢量预编码(VP)的性能复杂性权衡。我们通过在矢量预编码中采用部分扰动来引入这种权衡,其中扰动优化应用于传输符号的子集。与传统的VP相比,这大大降低了复杂性,传统VP的优化涉及所有传输符号,但代价是性能降低。我们展示了这种权衡是可以通过受干扰的用户数量来扩展的,并探索了如何通过改变用户子集的大小来优化它。结果表明,与传统的VP相比,部分扰动数据提供了良好的性能复杂度权衡,并提高了VP的功率效率。
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