Robust and Resilient Networks with Integrated Sensing, Communication and Computation

Fuente: arXiv
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Auteurs principaux: Lee, Ming-Chun, Eckrich, Christian, Jamali, Vahid, Huang, Yu-Chih, Asadi, Arash, Wang, Li-Chun
Format: Preprint
Publié: 2025
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author Lee, Ming-Chun
Eckrich, Christian
Jamali, Vahid
Huang, Yu-Chih
Asadi, Arash
Wang, Li-Chun
author_facet Lee, Ming-Chun
Eckrich, Christian
Jamali, Vahid
Huang, Yu-Chih
Asadi, Arash
Wang, Li-Chun
contents Emerging applications such as networked robotics, intelligent transportation, smart factories, and virtual and augmented reality demand integrated perception and connectivity enabled by wireless communication. This has driven growing interests in integrated sensing, communication, and computation (ISCC) systems, with a primary focus on their efficient co-designs. However, as ISCC systems increasingly support critical applications, they must not only deliver high performance but also demonstrate robustness and resilience. In this context, robustness refers to a system's ability to maintain performance under uncertainties, while resilience denotes its capacity to sustain a minimum level of service in the face of major disruptions. To address this gap, this article presents an overview of ISCC systems from the perspectives of robustness and resilience under limited resources. First, key concepts related to these properties are introduced in the ISCC context. Subsequently, design approaches for realizing robust and resilient ISCC networks are discussed. Finally, the article concludes with the discussions of a case study and open research problems in this area.
format Preprint
id arxiv_https___arxiv_org_abs_2506_19518
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Robust and Resilient Networks with Integrated Sensing, Communication and Computation
Lee, Ming-Chun
Eckrich, Christian
Jamali, Vahid
Huang, Yu-Chih
Asadi, Arash
Wang, Li-Chun
Information Theory
Emerging applications such as networked robotics, intelligent transportation, smart factories, and virtual and augmented reality demand integrated perception and connectivity enabled by wireless communication. This has driven growing interests in integrated sensing, communication, and computation (ISCC) systems, with a primary focus on their efficient co-designs. However, as ISCC systems increasingly support critical applications, they must not only deliver high performance but also demonstrate robustness and resilience. In this context, robustness refers to a system's ability to maintain performance under uncertainties, while resilience denotes its capacity to sustain a minimum level of service in the face of major disruptions. To address this gap, this article presents an overview of ISCC systems from the perspectives of robustness and resilience under limited resources. First, key concepts related to these properties are introduced in the ISCC context. Subsequently, design approaches for realizing robust and resilient ISCC networks are discussed. Finally, the article concludes with the discussions of a case study and open research problems in this area.
title Robust and Resilient Networks with Integrated Sensing, Communication and Computation
topic Information Theory
url https://arxiv.org/abs/2506.19518