A Phase-Based Ranging Method for Long-Range RFID Positioning With Quantum Tunneling Tags

Qi, Cheng; Amato, Francesco; Alhassoun, Mohammad; Durgin, Gregory D.

doi:10.1109/jrfid.2020.3041419

Cited by 14 publications

(11 citation statements)

References 33 publications

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“…3(b): the optimal precoder for correlated fading, given by ( 11), already exhibits the considerable gain that one can extract from the KL-based approach. In this case the PDF obtained using the precoder in (15), which also takes in consideration the LOS component, overlaps the previous curve, as expected, given that κ = 0. However, when some LOS component emerges, as in the case in Fig.…”

Section: Validation With the Baseline Reference Casesupporting

confidence: 80%

“…3(a). It should be noted that the results with the AA scheme and with two of the precoded systems overlap the analytical curve defined by expression (26) for the baseline reference case (with KL = 8 terminals); these are i) the precoder derived for a channel with correlated Rayleigh and no LOS, as defined in (11), and ii) the precoder derived for the Rician channel with a correlated Rayleigh component (but where now κ = 0), as defined in (15). In this situation there is neither a notion of cluster nor of angle and the AA scheme performs as well as any of the precoded schemes.…”

Section: Validation With the Baseline Reference Casementioning

confidence: 76%

“…The primal method to to assess the proposed techniques is to focus on the PDF of the sum-power available for harvesting at the terminals, p(P ). Subsequently the analysis focuses on how the Rician factor, the dimension of the antenna array at the BS, the angular position of a cluster, and the number of clusters impact on the energy available for harvesting by the terminals when using the proposed optimal precoder defined in (15), for the single-cluster case, and in (17) for the multicluster case.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Note that the WET component of a system is often the one responsible for performance bottleneck in practical WPCN and SWIPT systems, and for that reason it is worthy of dedicated study and consideration of different optimization approaches. Other examples of systems that may also need to rely on WET are backscatter communications [14], and the new long-distance tags based on quantum tunneling radio positioning [15].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Massive Wireless Energy Transfer With Statistical CSI Beamforming

Monteiro

López

Alves

2021

IEEE J. Sel. Top. Signal Process.

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Wireless energy transfer (WET) is a promising solution to enable massive machine-type communications (mMTC) with low-complexity and low-powered wireless devices. Given the energy restrictions of the devices, instant channel state information at the transmitter (CSIT) is not expected to be available in practical WET-enabled mMTC. However, because it is common that the terminals appear spatially clustered, some degree of spatial correlation between their channels to the base station (BS) is expected to occur. The paper considers a massive antenna array at the BS for WET that only has access to i) the first and second order statistics of the Rician channel component of the multiple-input multiple-output (MIMO) channel and also to ii) the line-of-sight MIMO component. The optimal precoding scheme that maximizes the total energy available to the singleantenna devices is derived considering a continuous alphabet for the precoders, permitting any modulated or deterministic waveform. This may lead to some devices in the clusters being assigned a low fraction of the total available power in the cluster, creating a rather uneven situation among them. Consequently, a fairness criterion is introduced, imposing a minimum amount of power allocated to the terminals. A piece-wise linear harvesting circuit is considered at the terminals, with both saturation and a minimum sensitivity, and a constrained version of the precoder is also proposed by solving a non-linear programming problem. A paramount benefit of the constrained precoder is the encompassment of fairness in the power allocation to the different clusters. Moreover, given the polynomial complexity increase of the proposed unconstrained precoder, and the observed linear gain of the system's available sum-power with an increasing number of antennas at the ULA, the use of massive antenna arrays is desirable.

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Section: Validation With the Baseline Reference Casesupporting

confidence: 80%

Section: Validation With the Baseline Reference Casementioning

confidence: 76%

Section: Numerical Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Massive Wireless Energy Transfer With Statistical CSI Beamforming

Monteiro

López

Alves

2021

IEEE J. Sel. Top. Signal Process.

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“…Further, promising approaches are presented in the articles on long-range as well as Ultra-High-Frequency (UHF) RFID [5][6] [7] and are separated into active and passive methods. While the battery powered long-range tag consumes 21.3µW to provide active distance estimation up to 35m, passive RFID tags are completely supplied via induction.…”

Section: A State Of the Artmentioning

confidence: 99%

Evaluation of Ultra Wide Band Technology as an Enhancement for BLE Based Location Estimation

Bilge¹

2022

Preprint

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In the scope of this paper, the precise positioning of objects with the help of Ultra Wide Band technology is evaluated. To achieve this, a prototype module for the use with the Decawave transceiver DW1000 was implemented and added to FruityMesh, an Internet of Things (IoT) mesh network of the company M-Way Solutions. The focus of the network is low-power communication based on Bluetooth Low Energy (BLE). This includes, for example, Building Automation, Lighting Management and Asset Tracking. Especially the last stated point benefits from a position tracking as precise as possible and a long battery life. Therefore, FruityMesh is used to perform a signalstrength based localization with the existing BLE messages. Due to absorption, interference, and diffraction, these measurements tend to fluctuate and allow a positioning accuracy within ±1.5m. With the integration of Ultra Wide Band and the Time of Arrival (ToA) method, a centimeter-precise localization was made possible in the course of this work, which at the same time causes only small additional costs in general. Since the connection of extra hardware is associated with decreased energy efficiency, an algorithm for optimizing the control was first developed and then tested against the created scenarios. In addition to the motion-based control of the hardware, various configurations and adjustments were analyzed to reduce the power consumption by Ultra-Wideband (UWB) transmission. Finally, the developed prototype was compared with a realistic reproduction of the existing Asset Tracking to evaluate the benefits for the use in the productive application.

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Optimizing Large-Scale RFID Networks With Energy-Efficient Dynamic Cluster Head Selection: A Performance Improvement Approach

Pandian,

Somasundaram,

Sahu

et al. 2024

IEEE Access

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This paper focuses on the use of radio frequency signals for non-contact tracking and localization utilising Radio Frequency Identification (RFID) technology. The clustering approach is quite useful when dealing with large RFID readers. This method stimulates the expansion of RFID nodes without compromising the overall network performance. The Cluster Head (CH) is the most critical node in a clustered RFID system. This research presents a method for dynamically selecting the cluster head that takes the connectivity and power of each RFID reader into account. In dynamic mode, selecting a new cluster head is based on Fuzzy Logic. Based on these data, the energy level of 0.443 and centrality of 0.809 are the thresholds at which a node has a 91.8 % chance of becoming a CH. The management of massive RFID networks is also handled, with cluster numbers increasing at different time intervals. The RFID network's effectiveness is determined by measuring throughput, accuracy, delay, success, and error rates. The network may accommodate up to a thousand nodes with 13 node leaders for improved capacity. The results show a 97.8 % success rate, 0.22 % accuracy, a 2.64 % error rate, and a 36.91 second latency.

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A Phase-Based Ranging Method for Long-Range RFID Positioning With Quantum Tunneling Tags

Cited by 14 publications

References 33 publications

Massive Wireless Energy Transfer With Statistical CSI Beamforming

Massive Wireless Energy Transfer With Statistical CSI Beamforming

Evaluation of Ultra Wide Band Technology as an Enhancement for BLE Based Location Estimation

Optimizing Large-Scale RFID Networks With Energy-Efficient Dynamic Cluster Head Selection: A Performance Improvement Approach

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