Fundamental Limits of Communication-Assisted Sensing in ISAC Systems

Fuente: arXiv
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Autores principales: Dong, Fuwang, Liu, Fan, Liu, Shihang, Xiong, Yifeng, Yuan, Weijie, Cui, Yuanhao
Formato: Preprint
Publicado: 2024
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author Dong, Fuwang
Liu, Fan
Liu, Shihang
Xiong, Yifeng
Yuan, Weijie
Cui, Yuanhao
author_facet Dong, Fuwang
Liu, Fan
Liu, Shihang
Xiong, Yifeng
Yuan, Weijie
Cui, Yuanhao
contents In this paper, we introduce a novel communication-assisted sensing (CAS) framework that explores the potential coordination gains offered by the integrated sensing and communication technique. The CAS system endows users with beyond-line-of-the-sight sensing capabilities, supported by a dual-functional base station that enables simultaneous sensing and communication. To delve into the system's fundamental limits, we characterize the information-theoretic framework of the CAS system in terms of rate-distortion theory. We reveal the achievable overall distortion between the target's state and the reconstructions at the end-user, referred to as the sensing quality of service, within a special case where the distortion metric is separable for sensing and communication processes. As a case study, we employ a typical application to demonstrate distortion minimization under the ISAC signaling strategy, showcasing the potential of CAS in enhancing sensing capabilities.
format Preprint
id arxiv_https___arxiv_org_abs_2404_08188
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Fundamental Limits of Communication-Assisted Sensing in ISAC Systems
Dong, Fuwang
Liu, Fan
Liu, Shihang
Xiong, Yifeng
Yuan, Weijie
Cui, Yuanhao
Information Theory
Signal Processing
In this paper, we introduce a novel communication-assisted sensing (CAS) framework that explores the potential coordination gains offered by the integrated sensing and communication technique. The CAS system endows users with beyond-line-of-the-sight sensing capabilities, supported by a dual-functional base station that enables simultaneous sensing and communication. To delve into the system's fundamental limits, we characterize the information-theoretic framework of the CAS system in terms of rate-distortion theory. We reveal the achievable overall distortion between the target's state and the reconstructions at the end-user, referred to as the sensing quality of service, within a special case where the distortion metric is separable for sensing and communication processes. As a case study, we employ a typical application to demonstrate distortion minimization under the ISAC signaling strategy, showcasing the potential of CAS in enhancing sensing capabilities.
title Fundamental Limits of Communication-Assisted Sensing in ISAC Systems
topic Information Theory
Signal Processing
url https://arxiv.org/abs/2404.08188