Joint Waveform and Beamforming Design for RIS-Aided ISAC Systems

Zhong, Kai; Hu, Jinfeng; Pan, Cunhua; Deng, Minglong; Fang, Jun

doi:10.1109/lsp.2023.3242554

Cited by 52 publications

(5 citation statements)

References 22 publications

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“…The computational complexity for ( 40), ( 45) and ( 46) are respectively O(MKN 2 ), O(N ) and O(N ). Note that we apply closed-form expressions, i.e., (40), ( 45) and ( 46), to update the value of θ. Therefore, the IPM is not invoked during the IRS parameter update, and our proposed solution is scalable with the dimension of θ (N ).…”

Section: System Designmentioning

confidence: 99%

“…In [39], a bisectionsearch based method is used in the waveform design, and successive convex approximation (SCA) is utilized to design the IRS parameter. In [40], a block coordinate descent (BCD) method is proposed for the design of IRS parameters and waveform. In [41], [47], SDR based alternating optimization is proposed for a DFRC system aided by IRS.…”

Section: Introductionmentioning

confidence: 99%

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Intelligent Reflecting Surface-Assisted Dual-Function Radar-Communication System

Li,

Petropulu

2023

IEEE Access

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We consider the design of a Dual-Function Radar-Communication (DFRC) system, aided by an Intelligent Reflecting Surface (IRS). The radar precoding matrix and the IRS parameters are designed to maximize the weighted sum of the signal-to-noise ratio (SNR) at the radar receiver and the signal to interference and noise ratio (SINR) at the communication receivers subject to power constraints, beampattern error constraint, and constant modulus constraints on the IRS parameters. The key challenge in this maximization problem arises due to the doubly reflected echo, which makes the SNR a non-convex quartic function of the IRS parameters. The problem is decoupled into two sub-problems, namely, waveform design and IRS parameter design, and is solved via alternating optimization. The former sub-problem is solved via semi-definite programming. The latter sub-problem, encompassing a non-convex quartic polynomial and unit modulus IRS parameter constraints, is solved via Riemannian manifold optimization (RMO). Unlike prior methods, our approach does not involve bounds or a surrogate function construction, but rather optimizes directly the original objective, thus providing more accurate evaluation of the system performance metrics. Design insights are drawn, related to the choice of IRS size, IRS location, and comparison among paths with single or double IRS reflections.INDEX TERMS DFRC, IRS, alternating optimization, Riemannian manifold optimization (RMO)

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Section: System Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intelligent Reflecting Surface-Assisted Dual-Function Radar-Communication System

Li,

Petropulu

2023

IEEE Access

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“…Recently, due to the introduction of RIS to beyond 5G communications, RIS-based ISAC has attracted extension attention. For instance, in [ 16 ], RIS is employed in an ISAC system to enhance downlink communications. This is achieved by maximizing SINR for radar applications and minimizing the multi-user interference (MUI) for communication purposes.…”

Section: Introductionmentioning

confidence: 99%

Joint Active and Passive Beamforming in RIS-Assisted Secure ISAC Systems

Chen,

Wu,

Niu

et al. 2024

Sensors

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This paper investigates joint beamforming in a secure integrated sensing and communications (ISAC) system assisted by reconfigurable intelligent surfaces (RIS). The system communicates with legitimate downlink users, detecting a potential target, which is a potential eavesdropper attempting to intercept the downlink communication information from the base station (BS) to legitimate users. To enhance the physical-layer secrecy of the system, we design and introduce interference signals at the BS to disrupt eavesdroppers’ attempts to intercept legitimate communication information. The BS simultaneously transmits communication and interference signals, both utilized for communication and sensing to guarantee the sensing and communication quality. By jointly optimizing the BS active beamformer and the RIS passive beamforming matrix, we aim to maximize the achievable secrecy rate and radiation power of the system. We develop an effective scheme to find the active beamforming matrix through fractional programming (FP) and semi-definite programming (SDP) techniques and obtain the RIS phase shift matrix via a local search technique. Simulation results validate the effectiveness of the proposed methods in enhancing communication and sensing performance. Additionally, the results demonstrate the effectiveness of introducing the interference signals and RIS in enhancing the physical-layer secrecy of the ISAC system.

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“…The authors [17] further considered a more general scenario, where the BS performed multiple users communication and multiple targets sensing, and comprehensively applied penalty-based and manifold optimization and MM methods to maximize the weighted summation of target detection SNRs. In [18] and [19], a new comprehensive optimization metric was introduced to assess the performance of RIS-assisted ISAC systems. Specifically, work [18] attempted to utilize the comprehensive optimization metric to maximize the radar SINR meanwhile minimizing the multi-user interference, and in work [19], the cross-correlation pattern, beam pattern error and total interference between multiple users and radar were minimized.…”

Section: Introductionmentioning

confidence: 99%

“…In [18] and [19], a new comprehensive optimization metric was introduced to assess the performance of RIS-assisted ISAC systems. Specifically, work [18] attempted to utilize the comprehensive optimization metric to maximize the radar SINR meanwhile minimizing the multi-user interference, and in work [19], the cross-correlation pattern, beam pattern error and total interference between multiple users and radar were minimized. The work [20] concentrated on minimizing the BS transmit power by taking into account the effect of interference caused by the cross-correlation between radar and RIS on the overall system performance and the alternating optimization (AO) algorithm based on SDR was proposed.…”

Section: Introductionmentioning

confidence: 99%

Joint Transceiver Beamforming and Reflecting Design for Active RIS-Aided ISAC Systems

Zhu

Liu

et al. 2023

IEEE Trans. Veh. Technol.

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Integrated sensing and communication (ISAC) is recognized as a promising technology with great potential in saving hardware and spectrum resources, since it simultaneously realizes radar detection and user communication functions in the fully-shared platform. Employing reconfigurable intelligent surface (RIS) in ISAC systems is able to provide a virtual lineof-sight (LoS) path to conquer blockage problem as well as introduce new degrees of freedom (DoFs) to further enhance system performance. Nevertheless, the multiplicative fading effect of passive RIS limits its applications in the absence of direct links, which promotes the development of active RIS. In this paper, we consider an active RIS-assisted ISAC system and aim to jointly design the transmit beamformer, the active RIS reflection and the radar receive filter to maximize the radar output signalto-noise ratio (SNR) while guaranteeing pre-defined signal-tointerference-plus-noise ratios (SINRs) for communication users. To solve for this non-convex problem, an efficient algorithm is developed by leveraging the techniques of block coordinate descent (BCD), Dinkelbach's transform and majorization-minimization (MM). Simulation results verify the significant advancement of deploying active RIS in ISAC systems, which can achieve up to 32dB radar SNR enhancement compared with the passive RISassisted ISAC systems.

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Joint Waveform and Beamforming Design for RIS-Aided ISAC Systems

Cited by 52 publications

References 22 publications

Intelligent Reflecting Surface-Assisted Dual-Function Radar-Communication System

Intelligent Reflecting Surface-Assisted Dual-Function Radar-Communication System

Joint Active and Passive Beamforming in RIS-Assisted Secure ISAC Systems

Joint Transceiver Beamforming and Reflecting Design for Active RIS-Aided ISAC Systems

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