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Electrical Engineering and Systems Science > Signal Processing

arXiv:2510.01411 (eess)
[Submitted on 1 Oct 2025 ]

Title: Delay-Augmented Stacked Intelligent Surfaces: Potential, Challenges, and Opportunities

Title: 延迟增强的堆叠智能表面:潜力、挑战与机遇

Authors:Hibatallah Alwazani, Omran Abbas, Loic Markley, Anas Chaaban
Abstract: Stacked intelligent surfaces (SIS)s have been proposed recently as an enabling technology for Holographic Multiple Input Multiple Output (HMIMO) and Ultra-massive MIMO (umMIMO) technologies. Their utility can extend beyond spatial wave-domain processing of signals if they are enhanced with strategically-tuned symbol-duration level delays to enable temporal processing as well. In this work, we introduce the idea of a delay-augmented SIS (DA-SIS). We shed light on the feasibility of realizing delay units in an SIS. Then, we discuss the relevance of the proposed DA-SIS and present a use case that illustrates its potential, wherein the DA-SIS serves as an analog equalizer that aids in eliminating multi-path-induced inter-symbol-interference (ISI). We show how the number of elements affect the equalization process using the bit error rate (BER) as a metric, and demonstrate the potential of the DA-SIS in equalization via comparing with digital equalizers as a benchmark. Finally, we present opportunities and future research directions that can be undertaken to bring this idea to fruition.
Abstract: 堆叠智能表面(SIS)最近被提出作为全息多输入多输出(HMIMO)和超大规模多输入多输出(umMIMO)技术的使能技术。 如果在SIS中引入经过精心调整的符号持续时间级别的延迟,它们的用途可以超越信号的空间波域处理,从而实现时间处理。 在本工作中,我们引入了延迟增强型SIS(DA-SIS)的概念。 我们探讨了在SIS中实现延迟单元的可行性。 然后,我们讨论了所提出的DA-SIS的相关性,并提供了一个使用案例,说明其潜力,其中DA-SIS作为模拟均衡器,有助于消除多路径引起的符号间干扰(ISI)。 我们使用误码率(BER)作为度量标准,展示了元件数量如何影响均衡过程,并通过与数字均衡器进行比较,展示了DA-SIS在均衡方面的潜力。 最后,我们提出了可以开展的研究机会和未来研究方向,以实现这一理念。
Comments: 7 pages, 3 figures
Subjects: Signal Processing (eess.SP)
Cite as: arXiv:2510.01411 [eess.SP]
  (or arXiv:2510.01411v1 [eess.SP] for this version)
  https://doi.org/10.48550/arXiv.2510.01411
arXiv-issued DOI via DataCite

Submission history

From: Hibatallah Alwazani [view email]
[v1] Wed, 1 Oct 2025 19:46:57 UTC (54 KB)
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