On the Impact of Hardware Impairments on RIS-aided Localization

Ozturk, Cuneyd; Keskin, Musa Furkan; Wymeersch, Henk; Gezici, Sinan

doi:10.1109/icc45855.2022.9838889

Cited by 10 publications

(9 citation statements)

References 27 publications

(57 reference statements)

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“…Both methods enable a continuous feedback loop where the condition of the RIS hardware, including any impairments or degradation, is relayed back to the transmitter in real-time. This feedback mechanism is fundamental to the operation of RIS-aided communication systems [32]- [34], allowing for dynamic adjustments to the RIS configuration to optimize communication performance in light of any detected hardware impairments.…”

Section: System Modelmentioning

confidence: 99%

Extending RIS Life Span for Reliable Communication Under Hardware Ageing Effects

Mondal,

Ghosh,

Singh

et al. 2024

IEEE Open J. Commun. Soc.

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In this paper, we address the critical aspect of hardware ageing effects in reconfigurable intelligent surfaces (RISs), whereby the problem of extending the RIS's life cycle under the impact of non-residual stochastic hardware impairment is considered. Through the replication of the RIS hardware and diverse wireless environments within a statistical simulation environment, we formulate an electronic maintenance framework (EMF) for RIS, where we incorporate non-residual impairments through stochastic modelling and determine the electronic reliability of the system. Accordingly, we derive optimal analytical solutions within the EMF to determine whether systematic maintenance of the RIS hardware should be done immediately or postponed in order to extend the expected life cycle of the RIS system. Furthermore, for the scenario with imperfect maintenance of the RIS-aided system, a reliable communication framework (RCF) is also introduced with residual impairments to assess the error probability of the RIS-aided communication. The RCF is established by deriving the distribution of the received signal-to-interference-plus-noise ratio in the presence of residual hardware impairment arising due to imperfect maintenance of the RIS system.Extensive numerical examples are provided to elucidate the derived solutions and illustrate the reliability performance of the proposed framework under hardware impairments.INDEX TERMS Industrial informatics and communication, electronic maintenance, industrial internet-ofthings, reliability, reconfigurable intelligent surfaces, hardware impairment.

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Section: System Modelmentioning

confidence: 99%

Extending RIS Life Span for Reliable Communication Under Hardware Ageing Effects

Mondal,

Ghosh,

Singh

et al. 2024

IEEE Open J. Commun. Soc.

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“…which minimizes the Kullback-Leibler (KL) divergence D (p(y) p(y|η)) between the true and assumed pdfs. In (16), η 0 can be found using [14, Lemma 1].…”

Section: A Mcrb Analysis Under Pixel Failuresmentioning

confidence: 99%

“…In [15], performance bounds and a practical method for narrowband NF localization of a transmitter with an RIS acting as a lens has been presented. The studies in [14], [16] consider a more conventional setup including a reflective RIS and a BS to evaluate [16] and mitigate [14] the impact of phasedependent amplitude variations of the RIS elements on NF localization accuracy. Taking into account the scatterers in the links from BS to RIS and from RIS to UE, [13] employs compressive sampling and optimized RIS configurations to achieve high accuracy.…”

Section: Introduction a Background And Motivationmentioning

confidence: 99%

RIS-aided Localization under Pixel Failures

Ozturk¹,

Keskin²,

Sciancalepore³

et al. 2023

Preprint

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Reconfigurable intelligent surfaces (RISs) hold great potential as one of the key technological enablers for beyond-5G wireless networks, improving localization and communication performance under line-of-sight (LoS) blockage conditions. However, hardware imperfections might cause RIS elements to become faulty, a problem referred to as pixel failures, which can constitute a major showstopper especially for localization. In this paper, we investigate the problem of RIS-aided localization of a user equipment (UE) under LoS blockage in the presence of RIS pixel failures, considering the challenging single-input singleoutput (SISO) scenario. We first explore the impact of such failures on accuracy through misspecified Cramér-Rao bound (MCRB) analysis, which reveals severe performance loss with even a small percentage of pixel failures. To remedy this issue, we develop two strategies for joint localization and failure diagnosis (JLFD) to detect failing pixels while simultaneously locating the UE with high accuracy. The first strategy relies on 1regularization through exploitation of failure sparsity. The second strategy detects the failures one-by-one by solving a multiple hypothesis testing problem at each iteration, successively enhancing localization and diagnosis accuracy. Simulation results show significant performance improvements of the proposed JLFD algorithms over the conventional failure-agnostic benchmark, enabling successful recovery of failure-induced performance degradations.

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“…With the aid of RIS deployment between the transmit and receiver nodes, the transmission reliability can be enhanced by appropriately configuring the phase shift of each RIS element [2]- [5]. Therefore, the RIS can also be used for localization [6].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Active RIS-Aided Systems in the Face of Imperfect CSI and Phase Shift Noise

El‐Hajjar

Hemadeh

et al. 2023

IEEE Trans. Veh. Technol.

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The linear minimal mean square error (LMMSE) estimator for active reconfigurable intelligent surface (RIS)-aided wireless systems is formulated. Furthermore, based on the moment-matching method, we employ the Gamma distribution to approximate the distribution of the instantaneous received signal-to-interference-plus-noise ratio (SINR), and then derive the closed-form outage probability and ergodic channel capacity in the presence of realistic channel estimation errors, the thermal noise of RIS amplifiers and the RIS phase shift noise. Our theoretical analysis and simulation results show that the introduction of RIS amplifiers is equivalent to increasing of the transmit power, and also present the performance degradation resulting from the channel estimation error and the RIS phase noise.

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On the Impact of Hardware Impairments on RIS-aided Localization

Cited by 10 publications

References 27 publications

Extending RIS Life Span for Reliable Communication Under Hardware Ageing Effects

Extending RIS Life Span for Reliable Communication Under Hardware Ageing Effects

RIS-aided Localization under Pixel Failures

Performance Analysis of Active RIS-Aided Systems in the Face of Imperfect CSI and Phase Shift Noise

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