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arXiv 2604.16638cs.ITmath.IT
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量化零能耗RIS:剩余相位建模与 outage 分析

Quantized Zero-Energy RIS: Residual Phase Modeling and Outage Analysis

Aristotle University of Thessaloniki(塞萨洛尼基亚里士多德大学);Information Support Force Engineering University(信息支援部队工程大学);National University of Defense Technology(国防科技大学);Southwest Jiaotong University(西南交通大学);University of Peloponnese(伯罗奔尼撒大学);University of Patras(帕特雷大学);University of Ioannina(约阿尼纳大学);Foundation for Research and Technology Hellas (FORTH)(希腊研究与技术基金会)

Dimitrios Tyrovolas, Sotiris A. Tegos, Kunrui Cao, Yue Xiao, Panagiotis D. Diamantoulakis, Nikos C. Sagias, Stylianos D. Asimonis, Christos K. Liaskos, George K. Karagiannidis

AI总结:

本文研究量化零能耗RIS在能量采集与信号反射间的耦合影响,分析时间切换与元素分割方案下的 outage 概率与能效,揭示相位分辨率与HaR方案的关键设计权衡。

摘要:

零能耗可重构智能表面(zeRISs)通过从入射射频信号中采集能量,成为实现高效可扩展可编程无线环境(PWEs)的有前景解决方案。然而,zeRIS辅助系统受能量采集与信号反射之间的耦合限制,特别是在有限分辨率相位控制等实际硬件限制下更为复杂。本文提出一个全面的分析框架,用于在量化相位偏移和采集-反射(HaR)方案下操作的zeRIS辅助通信系统。具体而言,我们分析了时间切换和元素分割方案下的联合能量-数据率 outage 概率和能效,考虑了发射端和用户端部署场景。通过显式建模由量化引起的剩余相位误差,并将其统计特性纳入分析,我们证明量化同时影响能量采集和信号反射,从而引发非平凡的权衡。因此,所提出的框架能够实现准确的性能评估,并揭示在zeRIS辅助无线网络中选择相位分辨率和应用HaR方案的关键设计权衡。

英文摘要:

Zero-energy reconfigurable intelligent surfaces (zeRISs) have recently emerged as a promising solution for enabling energy-efficient and scalable programmable wireless environments (PWEs) by harvesting their operational energy from impinging radio-frequency signals. However, the operation of zeRIS-assisted systems is inherently constrained by the coupling between energy harvesting and signal reflection, a dependency that becomes more intricate under practical hardware limitations such as finite-resolution phase control. In this paper, we develop a comprehensive analytical framework for zeRIS-assisted communication systems operating under quantized phase shifts and harvest-and-reflect (HaR) schemes. Specifically, we analyze the joint energy-data rate outage probability and the energy efficiency under time switching and element splitting schemes, considering both transmitter-side and user-side deployment scenarios. By explicitly modeling the residual phase error induced by quantization and incorporating its statistical properties into the analysis, we show that quantization jointly affects energy harvesting and signal reflection, thereby inducing non-trivial trade-offs. As a result, the presented framework enables accurate performance evaluation and reveals critical design trade-offs for the selection of the phase resolution, and the applied HaR scheme in zeRIS-assisted wireless networks.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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