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Computationally Efficient Vector Perturbation Precoding Using Thresholded Optimization

机译：使用阈值优化的计算有效矢量扰动预编码

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摘要

We propose a low-complexity vector perturbation (VP) precoding scheme for the downlink of multi-user multiple input multiple output (MU-MIMO) systems. While conventional VP performs a computationally intensive sphere search through multiple candidate perturbation vectors to minimize the norm of the precoded signal, the proposed precoder applies a threshold to the desired norm to reduce the number of search nodes visited by the sphere encoder. This threshold is determined by the performance requirements of the mobile users. Once the threshold is met, the search for the perturbation vectors finishes thus saving significant computational burden at the transmitter. To evaluate the advantages of the proposed technique compared to VP, we further derive the computational complexity in terms of the volume of the associated search space and the resulting numerical operations. In addition, we use a new performance-complexity metric to study the relevant tradeoff and look at the power efficiency of the system, both of which metrics can be used to optimize the user-determined threshold accordinglycolor{black}. The presented analysis and results show that the proposed thresholded VP (TVP) offers a favorable tradeoff between performance and complexity where significant complexity reduction is attained while the user threshold performance is guaranteed.
机译：我们为多用户多输入多输出（MU-MIMO）系统的下行链路提出了一种低复杂度矢量扰动（VP）预编码方案。传统的VP通过多个候选扰动向量执行计算密集的球搜索以最小化预编码信号的范数，而提出的预编码器将阈值应用于所需范数以减少球编码器访问的搜索节点的数量。此阈值由移动用户的性能要求确定。一旦满足阈值，对扰动矢量的搜索就完成了，从而节省了发射机的大量计算负担。为了评估与VP相比所提出的技术的优势，我们进一步根据相关搜索空间的大小和所得的数值运算来推导计算复杂性。此外，我们使用新的性能复杂性度量标准来研究相关权衡并查看系统的功率效率，这两种度量标准均可用于优化用户确定的阈值。提出的分析和结果表明，提出的阈值VP（TVP）在性能和复杂度之间提供了一个良好的折衷，可以在确保用户阈值性能的同时显着降低复杂度。

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