Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/171822
Title: Fundamental detection probability vs. achievable rate tradeoff in integrated sensing and communication systems
Authors: An, Jiancheng
Li, Hongbin
Ng, Derrick Wing Kwan
Yuen, Chau
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2023
Source: An, J., Li, H., Ng, D. W. K. & Yuen, C. (2023). Fundamental detection probability vs. achievable rate tradeoff in integrated sensing and communication systems. IEEE Transactions On Wireless Communications. https://dx.doi.org/10.1109/TWC.2023.3273850
Project: MOE-T2EP50220-0019
A19D6a0053 
Journal: IEEE Transactions on Wireless Communications
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 – <italic>Integrated Sensing and Communication (ISAC)</italic>. 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.
URI: https://hdl.handle.net/10356/171822
ISSN: 1536-1276
DOI: 10.1109/TWC.2023.3273850
Schools: School of Electrical and Electronic Engineering 
Rights: © 2023 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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