Robust and Resilient Networks with Integrated Sensing, Communication and Computation

TL;DR

This paper reviews the design of integrated sensing, communication, and computation systems emphasizing robustness and resilience to ensure reliable performance in critical applications under uncertainties and disruptions.

Contribution

It provides a comprehensive overview of robustness and resilience concepts in ISCC systems, discussing design approaches, case studies, and open research challenges.

Findings

Key concepts of robustness and resilience in ISCC systems introduced

Design approaches for robust and resilient ISCC networks discussed

Case study and open research problems presented

Abstract

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.