Robust and Secure Resource Allocation for ISAC Systems : A Novel Optimization Framework for Variable-Length Snapshots

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

33 Scopus Citations
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Author(s)

  • Dongfang Xu
  • Xianghao Yu
  • Derrick Wing Kwan Ng
  • Anke Schmeink
  • Robert Schober

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)8196-8214
Journal / PublicationIEEE Transactions on Communications
Volume70
Issue number12
Online published1 Nov 2022
Publication statusPublished - Dec 2022

Abstract

In this paper, we investigate the robust resource allocation design for secure communication in an integrated sensing and communication (ISAC) system. A multi-antenna dual-functional radar-communication (DFRC) base station (BS) serves multiple single-antenna legitimate users and senses for targets simultaneously, where already identified targets are treated as potential single-antenna eavesdroppers. The DFRC BS scans a sector with a sequence of dedicated beams, and the ISAC system takes a snapshot of the environment during the transmission of each beam. Based on the sensing information, the DFRC BS can acquire the channel state information (CSI) of the potential eavesdroppers. Different from existing works that focused on the resource allocation design for a single snapshot, in this paper, we propose a novel optimization framework that jointly optimizes the communication and sensing resources over a sequence of snapshots with adjustable durations. Besides, artificial noise (AN) is exploited by the BS for joint sensing and physical layer security provisioning. To this end, we jointly optimize the duration of each snapshot, the beamforming vector, and the covariance matrix of the AN for maximization of the system sum secrecy rate over a sequence of snapshots while guaranteeing a minimum required average achievable rate and a maximum information leakage constraint for each legitimate user. The resource allocation algorithm design is formulated as a non-convex optimization problem, where we account for the imperfect CSI of both the legitimate users and the potential eavesdroppers. To make the problem tractable, we derive a bound for the uncertainty region of the potential eavesdroppers’ small-scale fading based on a safe approximation, which facilitates the development of a block coordinate descent-based iterative algorithm for obtaining an efficient suboptimal solution. Simulation results illustrate that the proposed scheme can significantly enhance the physical layer security of ISAC systems compared to three baseline schemes. Moreover, compared to the conventional multi-stage approach for ISAC system design, the proposed approach based on variable-length snapshots not only facilitates a highly-directional offline sensing beam design but also allows us to flexibly prioritize communication or sensing depending on the application scenario.

Research Area(s)

  • Array signal processing, beamforming design, imperfect channel state information, Integrated sensing and communication, Optimization, Radar, Resource management, secure communication, Sensors, Uncertainty, Wireless communication

Citation Format(s)