Secure Dual-Functional Radar-Communication Transmission: Exploiting Interference for Resilience Against Target Eavesdropping

Su, Nanchi; Liu, Fan; Wei, Zhongxiang; Liu, Ya-Feng; Masouros, Christos

doi:10.1109/twc.2022.3156893

Cited by 59 publications

(40 citation statements)

References 48 publications

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“…We assume that the CIR is perfectly known [3], [4]. The received communication signal composed with LoS and NLoS components at the target (which is also a communication user) is expressed as…”

Section: B Communication Signal Modelmentioning

confidence: 99%

“…Since we assume that the communication CIR is perfectly known at the ISAC-BS [3], [4], one can simply compensate for both the phases of the complex path gain factor α k and the complex transmit signals s k via the following modification of the TBF matrix…”

Section: A Optimization Problem Formulationmentioning

confidence: 99%

“…In this spirit, novel resource allocation and waveform design approaches were developed [12] for approaching the ISAC performance bounds, leading to attractive integration and coordination gains [3]. More recently, numerous design tradeoffs have been revealed [2], ranging from information theoretical tradeoffs to physical layer tradeoffs [4], and to cross-layer designs [5].…”

Section: Introductionmentioning

confidence: 99%

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The Degrees-of-Freedom in Monostatic ISAC Channels: NLoS Exploitation vs. Reduction

Lu¹,

Liu²,

Hanzo³

2022

Preprint

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The degrees of freedom (DoFs) attained in monostatic integrated sensing and communications (ISAC) are analyzed. Specifically, monostatic sensing aims for extracting targetorientation information from the line of sight (LoS) channel between the transmitter and the target, since the Non-LoS (NLoS) paths only contain clutter or interference. By contrast, in wireless communications, typically, both the LoS and NLoS paths are exploited for achieving diversity or multiplexing gains. Hence, we shed light on the NLoS exploitation vs. reduction tradeoffs in a monostatic ISAC scenario. In particular, we optimize the transmit power of each signal path to maximize the communication rate, while guaranteeing the sensing performance for the target. The non-convex problem formulated is firstly solved in closed form for a single-NLoS-link scenario, then we harness the popular successive convex approximation (SCA) method for a general multiple-NLoS-link scenario. Our simulation results characterize the fundamental performance tradeoffs between sensing and communication, demonstrating that the available DoFs in the ISAC channel should be efficiently exploited in a way that is distinctly different from that of communication-only scenarios.

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Section: B Communication Signal Modelmentioning

confidence: 99%

Section: A Optimization Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Degrees-of-Freedom in Monostatic ISAC Channels: NLoS Exploitation vs. Reduction

Lu¹,

Liu²,

Hanzo³

2022

Preprint

Self Cite

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“…There is an abundance of communications-only PHY layer security approaches, ranging from secure beamforming, jamming, artificial noise design, as well as cooperative security designs [181], that could be adopted to address this challenge. Recent work has focused on addressing this vulnerability of ISAC by designing secure ISAC transmission [177], [182]. This aims to address the conflicting objectives of illuminating signal energy to the radar target, while at the same time constraining the useful signal energy (SNR) towards the same direction of the sensed target, to inhibit its capability do eavesdrop the information signal towards the communication users.…”

Section: Sensing-assisted Phy Securitymentioning

confidence: 99%

Integrated Sensing and Communications: Towards Dual-functional Wireless Networks for 6G and Beyond

Liu¹,

Cui²,

Masouros³

et al. 2021

Preprint

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“…The problem of maintaining the communication QoS and the target sensing performance while also ensuring limited information leakage to the targets has received very little attention. Although works [35] and [36] studied secure transmission designs for ISAC system, the role of IRS for sensing and communication was not unveiled and their proposed transceiver designs are also no longer applicable in the presence of an IRS.…”

mentioning

confidence: 99%

Secure Intelligent Reflecting Surface Aided Integrated Sensing and Communication

Meng¹,

Wu²,

Chen³

et al. 2022

Preprint

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In this paper, an intelligent reflecting surface (IRS) is leveraged to enhance the physical layer security of an integrated sensing and communication (ISAC) system in which the IRS is deployed to not only assist the downlink communication for multiple users, but also create a virtual line-of-sight (LoS) link for target sensing. In particular, we consider a challenging scenario where the target may be a suspicious eavesdropper that potentially intercepts the communication-user information transmitted by the base station (BS). To ensure the sensing quality while preventing the eavesdropping, dedicated sensing signals are transmitted by the BS. We investigate the joint design of the phase shifts at the IRS and the communication as well as radar beamformers at the BS to maximize the sensing beampattern gain towards the target, subject to the maximum information leakage to the eavesdropping target and the minimum signal-to-interference-plus-noise ratio (SINR) required by users. Based on the availability of perfect channel state information (CSI) of all involved user links and the accurate target location at the BS, two scenarios are considered and two different optimization algorithms are proposed. For the ideal scenario where the CSI of the user links and the target location are perfectly known at the BS, a penalty-based algorithm is proposed to obtain a high-quality solution. In particular, the beamformers are obtained with a semi-closed-form solution using Lagrange duality and the IRS phase shifts are solved for in closed form by applying the majorization-minimization (MM) method. On the other hand, for the more practical scenario where the CSI is imperfect and the target location is uncertain, a robust algorithm based on the Sprocedure and sign-definiteness approaches is proposed. Simulation results demonstrate the effectiveness of the proposed scheme in achieving a trade-off between the communication quality and the sensing quality, and also show the tremendous potential of IRS for use in sensing and improving the security of ISAC systems.

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Secure Dual-Functional Radar-Communication Transmission: Exploiting Interference for Resilience Against Target Eavesdropping

Cited by 59 publications

References 48 publications

The Degrees-of-Freedom in Monostatic ISAC Channels: NLoS Exploitation vs. Reduction

The Degrees-of-Freedom in Monostatic ISAC Channels: NLoS Exploitation vs. Reduction

Integrated Sensing and Communications: Towards Dual-functional Wireless Networks for 6G and Beyond

Secure Intelligent Reflecting Surface Aided Integrated Sensing and Communication

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