论文标题
联合用户和渠道状态获取的差异量子压缩感测在无资助设备访问系统中
Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems
论文作者
论文摘要
本文介绍了一个新的量子计算框架,该量子框架与两步压缩的传感技术集成在一起,应用于联合通道估计和用户识别问题。我们建议将变分量子电路(VQC)设计作为一种新的去胶解决方案。对于具有相关设备活动的实用的无授予通信系统,对拟议的VQC系统中Pauli旋转门的变异量子参数进行了优化,以促进非线性估计。数值结果表明,VQC方法可以使用元素denoiser胜过现代的压缩传感技术。
This paper introduces a new quantum computing framework integrated with a two-step compressed sensing technique, applied to a joint channel estimation and user identification problem. We propose a variational quantum circuit (VQC) design as a new denoising solution. For a practical grant-free communications system having correlated device activities, variational quantum parameters for Pauli rotation gates in the proposed VQC system are optimized to facilitate to the non-linear estimation. Numerical results show that the VQC method can outperform modern compressed sensing techniques using an element-wise denoiser.