Intelligent Reflecting Surface Enabled Multi-Target Sensing

Meng, Kaitao; Wu, Qingqing; Schober, Robert; Chen, Wen

doi:10.1109/tcomm.2022.3217564

Cited by 18 publications

(8 citation statements)

References 83 publications

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“…The non-convexity of problem (31) stems from nonconvex constraints (31b) and (31c). Since problem (31) has a similar form as problem (22), it can be handled in the same manner as for (22). Specifically, following similar steps to ( 23)- (25), in the r-th iteration of the proposed algorithm, problem (31) can be approximated as…”

Section: Proposed Algorithms For (P2) and (P2-d)mentioning

confidence: 99%

“…By adapting each reflecting element in real-time to tune the phase shifts of the impinging signals, an IRS can achieve fine-grained passive beamforming gains, thereby reconfiguring the wireless propagation channels to achieve different desired design objectives [18]. Particularly, it was first revealed in [19] that an IRS is capable of providing an asymptotic squared power gain in terms of the user receive power, which has prompted considerable research to exploit IRSs for enhancing the performance of WIT [20]- [22], WPT [23], both downlink WPT and uplink WIT [24], [25], and SWIPT [26]- [30]. For instance, for an IRS-aided SWIPT system, it was shown in [26] that the operating range of WPT and the corresponding achievable signal-to-interference-plus-noise ratio (SINR)energy region can be significantly enlarged by deploying an IRS in close proximity to the energy receivers.…”

Section: Introductionmentioning

confidence: 99%

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Exploiting Intelligent Reflecting Surfaces for Interference Channels with SWIPT

Gao¹,

Wu²,

Chen³

et al. 2023

Preprint

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This paper considers intelligent reflecting surface (IRS)-aided simultaneous wireless information and power transfer (SWIPT) in a multi-user multiple-input single-output (MISO) interference channel (IFC), where multiple transmitters (Txs) serve their corresponding receivers (Rxs) in a shared spectrum with the aid of IRSs. Our goal is to maximize the sum rate of the Rxs by jointly optimizing the transmit covariance matrices at the Txs, the phase shifts at the IRSs, and the resource allocation subject to the individual energy harvesting (EH) constraints at the Rxs. Towards this goal and based on the well-known power splitting (PS) and time switching (TS) receiver structures, we consider three practical transmission schemes, namely the IRS-aided hybrid TS-PS scheme, the IRS-aided time-division multiple access (TDMA) scheme, and the IRS-aided TDMA-D scheme. The latter two schemes differ in whether the Txs employ deterministic energy signals known to all the Rxs. Despite the non-convexity of the three optimization problems corresponding to the three transmission schemes, we develop computationally efficient algorithms to address them suboptimally, respectively, by capitalizing on the techniques of alternating optimization (AO) and successive convex approximation (SCA). Moreover, we conceive feasibility checking methods for these problems, based on which the initial points for the proposed algorithms are constructed. Simulation results demonstrate that our proposed IRS-aided schemes significantly outperform their counterparts without IRSs in terms of sum rate and maximum EH requirements that can be satisfied under various setups. In addition, the IRS-aided hybrid TS-PS scheme generally achieves the best sum rate performance among the three proposed IRS-aided schemes, and if not, increasing the number of IRS elements can always accomplish it.

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Section: Proposed Algorithms For (P2) and (P2-d)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploiting Intelligent Reflecting Surfaces for Interference Channels with SWIPT

Gao¹,

Wu²,

Chen³

et al. 2023

Preprint

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“…Using massive low-cost reflecting elements, IRSs can achieve larger communication coverage and improved transmission quality [18], [19]. In addition to providing effective communication services, IRSs can also aid to sense targets in blind areas by establishing virtual light-of-sight (LoS) links between BSs and targets [20], [21]. For instance, the authors in [20] proposed a novel sensing scheme to sense multiple targets simultaneously by establishing a relationship between the target directions and signature sequences (SSs), and thus the target directions can be obtained by analyzing echo signals modulated with SSs.…”

Section: Introductionmentioning

confidence: 99%

“…In addition to providing effective communication services, IRSs can also aid to sense targets in blind areas by establishing virtual light-of-sight (LoS) links between BSs and targets [20], [21]. For instance, the authors in [20] proposed a novel sensing scheme to sense multiple targets simultaneously by establishing a relationship between the target directions and signature sequences (SSs), and thus the target directions can be obtained by analyzing echo signals modulated with SSs. In [22], receive sensors are deployed on the IRS surfaces to reduce echo signal path loss and facilitate the of target parameters.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Cellular Localization With Intelligent Reflecting Surface: Design, Analysis and Optimization

Meng,

Wu,

Chen

et al. 2024

IEEE Trans. Commun.

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Autonomous driving and intelligent transportation applications have dramatically increased the demand for highaccuracy and low-latency localization services. While cellular networks are potentially capable of target detection and localization, achieving accurate and reliable positioning faces critical challenges. Particularly, the relatively small radar cross sections (RCS) of moving targets and the high complexity for measurement association give rise to weak echo signals and discrepancies in the measurements. To tackle this issue, we propose a novel approach for multi-target localization by leveraging the controllable signal reflection capabilities of intelligent reflecting surfaces (IRSs). Specifically, IRSs are strategically mounted on the targets (e.g., vehicles and robots), enabling effective association of multiple measurements and facilitating the localization process. We aim to minimize the maximum Cramér-Rao lower bound (CRLB) of targets by jointly optimizing the target association, the IRS phase shifts, and the dwell time. However, solving this CRLB optimization problem is non-trivial due to the non-convex objective function and closely coupled variables. For single-target localization, a simplified closed-form expression is presented for the case where base stations (BSs) can be deployed flexibly, and the optimal BS location is derived to provide a lower performance bound of the original problem. Then, we prove that the transformed problem is a monotonic optimization, which can be optimally solved by the Polyblock-based algorithm. Moreover, based on derived insights for the single-target case, we propose a heuristic algorithm to optimize the target association and time allocation for the multi-target case. Furthermore, we provide useful guidance for the practical implementation of the proposed localization scheme by theoretically analyzing the relationship between time slots, BSs, and targets. Simulation results verify that deploying IRS on vehicles and effective phase shift design can effectively improve the resolution ability of multi-vehicle positioning and reduce the requirements of the number of BSs.

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“…As a new type of metamaterial with characteristics of low cost, low complexity, and easy deployment, RIS can realize intelligent regulation of the reflected amplitude and phase of the received signal, resulting in its increased employment in wireless communication and sensing systems [5]. By changing the amplitude and phase of the reflected signal, RIS can be used to aggregate the reflected waves, which is ideal for DOA estimation in case of only one fully functional receiving antenna [6].…”

Section: Introductionmentioning

confidence: 99%

Joint Squared-Sine Function and ANM DOA Estimation for RIS-Based Sensing Systems

Li¹

2023

Preprint

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<p>Reconfigurable intelligent surface (RIS) is an emerging technology for improving the performance of wireless communications. In this letter, a joint Squared-Sine function and atomic norm minimization (ANM), denoted as SS-ANM, is proposed for passive sensing assisted by RIS in wireless communication systems interfered by a wireless access point (AP). The proposed joint optimization is used to estimate the targets' direction-of-arrival (DOA), employing the spatial domain sparsity of the received signals. The optimal solution is achieved from the alternating direction method of multipliers (ADMM). With the help of the Squared-Sine function as the cost function, the proposed solution provides better estimation accuracy under various noises besides Gaussian noise, and meanwhile requires a lower computation complexity. Simulation results verify the superiority of the proposed joint minimization over existing DOA estimation methods.</p>

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Intelligent Reflecting Surface Enabled Multi-Target Sensing

Cited by 18 publications

References 83 publications

Exploiting Intelligent Reflecting Surfaces for Interference Channels with SWIPT

Exploiting Intelligent Reflecting Surfaces for Interference Channels with SWIPT

Cooperative Cellular Localization With Intelligent Reflecting Surface: Design, Analysis and Optimization

Joint Squared-Sine Function and ANM DOA Estimation for RIS-Based Sensing Systems

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