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Cited by 122Radar Systems and Signal ProcessingWireless Communication Security TechniquesDistributed Sensor Networks and Detection Algorithms

Fundamental Detection Probability vs. Achievable Rate Tradeoff in Integrated Sensing and Communication Systems

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An, Jiancheng, Li, Hongbin, Ng, Derrick Wing Kwan, Yuen, Chau·2023·IEEE Transactions on Wireless Communications
DOI 10.1109/twc.2023.3273850
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Abstract

Integrating sensing functionalities is envisioned as a distinguishing feature of next-generation mobile networks, which has given rise to the development of a novel enabling technology– Integrated Sensing and Communication (ISAC). Portraying the theoretical performance bounds of ISAC systems is fundamentally important to understand how sensing and communication functionalities interact (e.g., competitively or cooperatively) in terms of resource utilization, while revealing insights and guidelines for the development of effective physical-layer techniques. In this paper, we characterize the fundamental performance tradeoff between the detection probability for target monitoring and the user’s achievable rate in ISAC systems. To this end, we first discuss the achievable rate of the user under sensing-free and sensing-interfered communication scenarios. Furthermore, we derive closed-form expressions for the probability of false alarm (PFA) and the successful probability of detection (PD) for monitoring the target of interest, where we consider both communication-assisted and communication-interfered sensing scenarios. In addition, the effects of the unknown channel coefficient are also taken into account in our theoretical analysis. Based on our analytical results, we then carry out a comprehensive assessment of the performance tradeoff between sensing and communication functionalities. Specifically, we formulate a power allocation problem to minimize the transmit power at the base station (BS) under the constraints of ensuring a required PD for perception as well as the communication user’s quality of service requirement in terms of achievable rate. It indicates that, on the one hand, there exists an intrinsic tradeoff between sensing and communication performance under the mutual-interfered scenarios; On the other hand, with prior knowledge of the baseband waveform, these two functionalities might mutually assist each other to enhance the performance. Finally, simulation results corroborate the accuracy of our theoretical analysis and the effectiveness of the proposed power allocation solutions showing the advantages of the ISAC system over the conventional radar and communication coexistence counterpart.

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  • ISAC is emerging as a key technology to address the growing issue of spectrum congestion and to meet the increasing demand for ubiquitous sensing and communication.

    “ISAC is emerging as a key technology to address the growing issue of spectrum congestion and to meet the increasing demand for ubiquitous sensing and communication [113].”

    From Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications (2026) · cites this paper as [113]

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Cited by

Sorted by citations

Authors
An, J., Li, H., Ng, D. W. K., & Yuen, C.
Affiliations
  • Singapore University of Technology and Design (SG)
  • Stevens Institute of Technology (US)
  • UNSW Sydney (AU)
  • Nanyang Technological University (SG)
ORCID
Venue
IEEE Transactions on Wireless Communications
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2023-12
Volume
22
Issue
12
Pages
9835-9853
ISSN
  • 1536-1276 (ISSN-L)
  • 1558-2248
DOI
10.1109/twc.2023.3273850
OpenAlex
W4376481112
Cited by
122
References
2
Citations by year
2026: 26 · 2025: 52 · 2024: 37 · 2023: 7
FWCI
14.86
Type
journal article
Language
en
Open access
Licence
Locations
  • IEEE Transactions on Wireless Communications (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • UNSWorks (University of New South Wales, Sydney, Australia) (submittedVersion, cc-by-nc-nd)
  • DR-NTU (Nanyang Technological University) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • Ministry of Education (MoE), Singapore (MOET2EP50220-0019)
  • Agency for Science, Technology and Research (A*STAR) under its Research, Innovation and Enterprise (RIE) 2020 Advanced Manufacturing and Engineering (AME) Industry Alignment Fund—Pre Positioning (A19D6a0053)
  • National Science Foundation (ECCS-1923739, ECCS-2212940)
  • Australian Research Council’s Discovery Project (DP210102169, DP230100603)
Topics
  • Physical Sciences › Engineering › Aerospace Engineering › Radar Systems and Signal Processing
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Wireless Communication Security Techniques
  • Physical Sciences › Computer Science › Computer Networks and Communications › Distributed Sensor Networks and Detection Algorithms
Keywords
integrated sensing and communication, detection probability, achievable rate, sensing-communication trade-off, false alarm probability, power allocation, target monitoring, communication interference, radar-communication coexistence

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