Interference Management for Integrated Sensing and Communication Systems: A Survey

Emerging applications, such as autonomous driving and Internet of Things (IoT) services put forward the demand for simultaneous sensing and communication functions in the same system. Integrated sensing and communication (ISAC) has the potential to meet the demands of ubiquitous communication and high-precision sensing due to the advantages of spectrum and hardware resource sharing, as well as the mutual enhancement of sensing and communication. However, the ISAC system faces severe interference requiring effective interference suppression, avoidance, and exploitation techniques. This article provides a comprehensive survey on the interference management techniques in ISAC systems, involving network architecture, system design, signal processing, and resource allocation. We first review the channel modeling and performance metrics of the ISAC system. Then, the methods for managing self-interference (SI), mutual interference (MI), and clutter in a single base station (BS) system are summarized, including interference suppression, interference avoidance, and interference exploitation methods. Furthermore, cooperative interference management methods are studied to address the cross-link interference (CLI) in a coordinated multipoint ISAC (CoMP-ISAC) system. Finally, future trends are revealed. This article may provide a reference for the study of interference management in ISAC systems.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2024-11-28
DOI
https://doi.org/10.1109/jiot.2024.3506162
Citations
69
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
24.07

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article

Interference Management for Integrated Sensing and Communication Systems: A Survey

Zhiyong Feng, Huici Wu, Lin Wang, Zhiqing Wei et al.
69 citations
IEEE Internet of Things Journal
Energy Efficient Wireless Sensor Networks
24.07
article

Interference Management for Integrated Sensing and Communication Systems: A Survey

Zhiyong Feng, Huici Wu, Lin Wang, Zhiqing Wei, Yangyang Niu
article en
69 citations

Abstract

Emerging applications, such as autonomous driving and Internet of Things (IoT) services put forward the demand for simultaneous sensing and communication functions in the same system. Integrated sensing and communication (ISAC) has the potential to meet the demands of ubiquitous communication and high-precision sensing due to the advantages of spectrum and hardware resource sharing, as well as the mutual enhancement of sensing and communication. However, the ISAC system faces severe interference requiring effective interference suppression, avoidance, and exploitation techniques. This article provides a comprehensive survey on the interference management techniques in ISAC systems, involving network architecture, system design, signal processing, and resource allocation. We first review the channel modeling and performance metrics of the ISAC system. Then, the methods for managing self-interference (SI), mutual interference (MI), and clutter in a single base station (BS) system are summarized, including interference suppression, interference avoidance, and interference exploitation methods. Furthermore, cooperative interference management methods are studied to address the cross-link interference (CLI) in a coordinated multipoint ISAC (CoMP-ISAC) system. Finally, future trends are revealed. This article may provide a reference for the study of interference management in ISAC systems.

IEEE Internet of Things JournalVol. 12(7)
Beijing University of Posts and Telecommunications (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 0%
Energy Efficient Wireless Sensor Networks
24.07
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Interference Management for Integrated Sensing and Communication Systems: A Survey — Zhiyong Feng, Huici Wu, et al. · IEEE Internet of Things Journal (2024) | TGRS Research Map | TGRS