Spatial-Temporal Discretization Optimization in the Modeling of Optical and RF Wireless Networks

IF 4.4 3区 计算机科学 Q2 TELECOMMUNICATIONS
Mohammad Khalili;Marcos Katz;Konstantin Mikhaylov
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引用次数: 0

Abstract

Many optimization frameworks and mathematical models have been proposed for standalone optical and radio frequency (RF) wireless networks, as well as their integration. These models typically discretize the time horizon into fixed intervals, inherently introducing spatial discretization when network nodes are mobile. Spatial discretization is also widely applied in reinforcement learning approaches. While temporal and spatial discretizations reduce computational complexity, they may introduce inaccuracies, especially in highly dynamic systems. This letter presents analytical upper bounds for the relative deviation in signal-to-noise ratio (SNR) in both optical wireless communication (OWC) and RF, focusing on how grid granularity affects SNR accuracy through theoretical analysis. The results show that, under identical grid conditions and ideal node orientation, OWC experiences up to 45% higher relative SNR deviation than RF. Furthermore, an upper bound is derived as a function of node velocity and time interval, indicating that OWC requires 31% shorter time intervals than RF to achieve comparable SNR accuracy. Simulations validate the model, confirming that the theoretical upper bounds closely align with empirical results.
光学和射频无线网络建模中的时空离散化优化
针对独立的光学和射频(RF)无线网络及其集成,已经提出了许多优化框架和数学模型。这些模型通常将时间范围离散为固定的间隔,当网络节点是移动的时,固有地引入了空间离散。空间离散化在强化学习方法中也有广泛的应用。虽然时间和空间离散化降低了计算复杂性,但它们可能会引入不准确性,特别是在高动态系统中。本文给出了光无线通信(OWC)和射频中信噪比(SNR)相对偏差的解析上界,并通过理论分析重点讨论了网格粒度如何影响信噪比精度。结果表明,在相同的网格条件和理想的节点方向下,OWC的相对信噪比偏差比射频高45%。此外,推导了节点速度和时间间隔函数的上限,表明OWC需要比RF短31%的时间间隔才能达到相当的信噪比精度。模拟验证了该模型,证实理论上限与经验结果密切相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Communications Letters
IEEE Communications Letters 工程技术-电信学
CiteScore
8.10
自引率
7.30%
发文量
590
审稿时长
2.8 months
期刊介绍: The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.
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