RIS-Aided Integrated Sensing and Communication: Joint Beamforming and Reflection Design

Luo, Honghao; Liu, Rang; Li, Ming; Liu, Qian

doi:10.1109/tvt.2023.3248657

Cited by 28 publications

(9 citation statements)

References 42 publications

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“…Refs. [13]- [17] delved into the active and passive beamforming design of RIS-aided ISAC systems, each with unique design criteria ranging from weighted radar SNR summation maximization, user SNR maximization, weighted combination of the radar mutual information (MI) and the communication sum-rate maximization, radar output signal-to-interference-plus-noise ratio (SINR) maximization and the radar MI maximization.…”

Section: B Related Workmentioning

confidence: 99%

Digital cultivation and planting system based on Internet of Things

Zhang

2022

2nd International Conference on Internet of Things and Smart City (IoTSC 2022）

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This paper presents a new integrated sensing and communication (ISAC) framework, leveraging the recent advancements of reconfigurable distributed antenna and reflecting surface (RDARS). RDARS is a programmable surface structure comprising numerous elements, each of which can be flexibly configured to operate either in a reflection mode, resembling a passive reconfigurable intelligent surface (RIS), or in a connected mode, functioning as a remote transmit or receive antenna. Our RDARS-aided ISAC framework effectively mitigates the adverse impact of multiplicative fading when compared to the passive RIS-aided ISAC, and reduces cost and energy consumption when compared to the active RIS-aided ISAC. Within our RDARSaided ISAC framework, we consider a radar output signal-tonoise ratio (SNR) maximization problem under communication constraints to jointly optimize the active transmit beamforming matrix of the base station (BS), the reflection and mode selection matrices of RDARS, and the receive filter. To tackle the inherent non-convexity and the binary integer optimization introduced by the mode selection in this optimization challenge, we propose an efficient iterative algorithm with proved convergence based on majorization minimization (MM) and penalty-based methods. Numerical and simulation results demonstrate the superior performance of our new framework, and clearly verify substantial distribution, reflection as well as selection gains obtained by properly configuring the RDARS.Index Terms-Reconfigurable distributed antennas and reflecting surfaces (RDARS), integrated sensing and communication (ISAC), signal-to-noise ratio (SNR) maximization. I. INTRODUCTION A. BackgroundBy 2025, it is expected that 75.4 billion devices will be interconnected within the vast landscape of the Internet of Things (IoT) [1]. This rapid expansion lays the foundation for an interconnected future world, but it also places a heavy burden on wireless communication networks, intensifying the issue of spectrum congestion. On the other hand, emerging applications introduced by IoT, such as smart homes, robot navigation, and autonomous vehicles, demand not only highquality wireless connectivity, but also an elevated capacity to perceive and comprehend the environment [2]. These pose new challenges and requirements for next-generation wireless communication systems.In response to the above challenges, integrated sensing and communication (ISAC) emerges as a promising technology [3]- [6]. ISAC opens the door for communication to tap into

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Section: B Related Workmentioning

confidence: 99%

Digital cultivation and planting system based on Internet of Things

Zhang

2022

2nd International Conference on Internet of Things and Smart City (IoTSC 2022）

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“…In [16], the authors utilized RIS to assist the multiple target detection in ISAC systems, where the minimum gain of RIS's beampatternan effective algorithm framework based on MM and ADMM was exploited that towards the expected detection angles was maximized while meeting the minimum communication SNR constraint. 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.…”

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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“…In [19], [20], the RIS-aided ISAC system is investigated, and the results show that the RIS enhances the radar signal-to-noise ratio (SNR) significantly. In [21], the joint beamforming and reflection design under RIS-aided ISAC network has been investigated, and the results illustrate the advantages of deploying RIS in ISAC systems. In [22], R.S.…”

Section: Introductionmentioning

confidence: 99%

Transmissive Reconfigurable Intelligent Surface Transmitter Empowered Cognitive RSMA Networks

Liu

Yuan

et al. 2023

IEEE Commun. Lett.

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In this paper, a novel transmissive reconfigurable intelligent surface (TRIS) transceiver empowered integrated sensing and communications (ISAC) system is proposed for future multi-demand terminals. To address interference management, we implement rate-splitting multiple access (RSMA), where the common stream is independently designed for the sensing service. We introduce the sensing quality of service (QoS) criteria based on this structure and construct an optimization problem with the sensing QoS criteria as the objective function to optimize the sensing stream precoding matrix and the communication stream precoding matrix. Due to the coupling of optimization variables, the formulated problem is a non-convex optimization problem that cannot be solved directly. To tackle the abovementioned challenging problem, alternating optimization (AO) is utilized to decouple the optimization variables. Specifically, the problem is decoupled into three subproblems about the sensing stream precoding matrix, the communication stream precoding matrix, and the auxiliary variables, which is solved alternatively through AO until the convergence is reached. For solving the problem, successive convex approximation (SCA) is applied to deal with the sum-rate threshold constraints on communications, and difference-of-convex (DC) programming is utilized to solve rank-one non-convex constraints. Numerical simulation results verify the superiority of the proposed scheme in terms of improving the communication and sensing QoS.

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RIS-Aided Integrated Sensing and Communication: Joint Beamforming and Reflection Design

Cited by 28 publications

References 42 publications

Digital cultivation and planting system based on Internet of Things

Digital cultivation and planting system based on Internet of Things

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

Transmissive Reconfigurable Intelligent Surface Transmitter Empowered Cognitive RSMA Networks

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