Multi-Frequency Cooperation Strategy for Integrated Sensing and Communication (ISAC) Networks

The field of integrated sensing and communication (ISAC) has attracted a lot of attention due to its potential to provide both low-altitude communication and sensing services. One of the challenges for ISAC network implementation is frequency deployment. Although allocating dedicated frequency bands for both services appears to be a feasible solution to avoid the interference issue, it may lead to frequency resource waste when there is no active sensing service request. Therefore, efficient coordination of limited frequency resources between communication and sensing is necessary. In this paper, we propose a multi-frequency band switching cooperation ISAC (MBSw-ISAC) solution to allocate multiple frequency bands and enable band-switching capability between communication and sensing services. To this end, we formulate an optimization problem to minimize the communication delay with the constraint of sensing demand among multiple frequency bands. By solving the optimization problem, we present a depth-first-search-based algorithm to obtain the corresponding optimal MBSw-ISAC solution. Numerical results are presented to demonstrate the potential of the proposed MBSw-ISAC solution.

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Publication Details

Journal
IEEE Communications Letters
Published
2025-09-15
DOI
https://doi.org/10.1109/lcomm.2025.3609910
Primary Topic
Distributed Sensor Networks and Detection Algorithms
Type
article
Field-Weighted Citation Impact
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article

Multi-Frequency Cooperation Strategy for Integrated Sensing and Communication (ISAC) Networks

Shan Yang, Qixun Zhang, Constantinos B. Papadias, Zhanyuan Xie et al.
IEEE Communications Letters
Distributed Sensor Networks and Detection Algorithms
article

Multi-Frequency Cooperation Strategy for Integrated Sensing and Communication (ISAC) Networks

Shan Yang, Qixun Zhang, Constantinos B. Papadias, Zhanyuan Xie, Zheng Jiang, Bo Liu
article en

Abstract

The field of integrated sensing and communication (ISAC) has attracted a lot of attention due to its potential to provide both low-altitude communication and sensing services. One of the challenges for ISAC network implementation is frequency deployment. Although allocating dedicated frequency bands for both services appears to be a feasible solution to avoid the interference issue, it may lead to frequency resource waste when there is no active sensing service request. Therefore, efficient coordination of limited frequency resources between communication and sensing is necessary. In this paper, we propose a multi-frequency band switching cooperation ISAC (MBSw-ISAC) solution to allocate multiple frequency bands and enable band-switching capability between communication and sensing services. To this end, we formulate an optimization problem to minimize the communication delay with the constraint of sensing demand among multiple frequency bands. By solving the optimization problem, we present a depth-first-search-based algorithm to obtain the corresponding optimal MBSw-ISAC solution. Numerical results are presented to demonstrate the potential of the proposed MBSw-ISAC solution.

IEEE Communications LettersVol. 29(11)
Beijing University of Posts and Telecommunications (CN), The American College of Greece (GR), China Telecom (China) (CN), China Telecom (CN)
Openalex Percentile: Top 72%
Distributed Sensor Networks and Detection Algorithms
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