A Hybrid Classical-Quantum Computing Framework for RIS-assisted Wireless Network
A Hybrid Classical-Quantum Computing Framework for RIS-assisted Wireless Network
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DOI：
10.1109/nemo56117.2023.10202166
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发表时间：
2023-06
期刊：
影响因子：
--
通讯作者：
C. Ross;G. Gradoni;Z. Peng
中科院分区：
文献类型：
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作者：
C. Ross;G. Gradoni;Z. Peng
最近，人们对采用可重构智能表面（RIS）来提高无线网络的频谱和能源效率越来越感兴趣。在RIS辅助的无线网络中，信道估计和优化是一项艰巨的任务，特别是对于具有低复杂度硬件设计的近无源RIS设备。我们提出了一种混合经典量子计算框架，可以实现适应多路径无线环境的超快速优化。仅使用无线端点的反馈（接收功率）即可几乎立即执行 RIS 配置的现场优化。所提出的工作的性能在代表性的无线传播场景中得到了证明。
Recently, there has been a growing interest in employing reconfigurable intelligent surfaces (RISs) to improve the spectrum and energy efficiency of wireless networks. In RIS-assisted wireless networks, channel estimation and optimization is a difficult task, particularly for nearly passive RIS devices with low-complexity hardware design. We have proposed a hybrid classical-quantum computing framework that allows for ultra-fast optimization adapting to multipath wireless environments. The onsite optimization of RIS configuration can be performed almost instantaneously using only feedback (received power) at wireless endpoints. The performance of the proposed work is demonstrated in representative wireless propagation scenarios.