A Lattice-Reduction Aided Vector Perturbation Precoder Relying On Quantum Annealing
A Lattice-Reduction Aided Vector Perturbation Precoder Relying On Quantum Annealing
复制标题
一种基于量子退火的格约化辅助矢量扰动预编码器
DOI：
10.1109/lwc.2024.3365874
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发表时间：
2024
影响因子：
6.3
通讯作者：
Winter S
中科院分区：
文献类型：
--
作者：
Winter S
针对多输入多输出（MIMO）通信系统中的矢量微扰预编码（VPP）问题，提出了一种量子退火（QA）算法。VPP的数学框架，概述了问题的制定和格约简算法的好处。利用物理量子硬件设计了格点归约辅助量子矢量微扰（LRAQVP），并讨论了硬件参数的优化。我们观察到一个5dB的增益比格约减迫零预编码（LRZFP），其行为类似于量子退火算法操作没有格约减阶段。所提出的算法也示出接近球编码器的性能，表现出指数级上升的复杂性。
Quantum annealing (QA) is proposed for vector perturbation precoding (VPP) in multiple input multiple output (MIMO) communications systems. The mathematical framework of VPP is presented, outlining the problem formulation and the benefits of lattice reduction algorithms. Lattice reduction aided quantum vector perturbation (LRAQVP) is designed by harnessing physical quantum hardware, and the optimization of hardware parameters is discussed. We observe a 5dB gain over lattice reduction zero forcing precoding (LRZFP), which behaves similarly to a quantum annealing algorithm operating without a lattice reduction stage. The proposed algorithm is also shown to approach the performance of a sphere encoder, which exhibits an exponentially escalating complexity.