Optimal Resource Allocation in Full-Duplex Ambient Backscatter Communication Networks for Wireless-Powered IoT

Yang, Gang; Yuan, Dongdong; Liang, Ying-Chang; Zhang, Rui; Leung, Victor C. M.

doi:10.1109/jiot.2018.2872515

Cited by 111 publications

(70 citation statements)

References 45 publications

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“…Due to the complexity of the transformer manufacturing process and the instability of the operation state, the transformer fault causes are diverse, which is mainly reflected in that the same type of fault mode has different fault characteristics, and the same type of fault feature is the combination result of multiple fault modes [24][25]. Therefore, the relationship between fault modes and fault characteristics presents a variety of nonlinear relationships.…”

Section: ) Transformer Fault Diagnosis Based On Information Fusion Tementioning

confidence: 99%

Power Transformer Fault Diagnosis System Based on Internet of Things

Wang

Liu

Chen

et al. 2020

Preprint

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Transformer is the most important equipment in the power system. The research and development of fault diagnosis technology for Internet of things equipment can effectively detect the operation status of equipment and eliminate hidden faults in time, which is conducive to reducing the incidence of accidents and improving people's life safety index. Objective: To explore the utility of Internet of things in power transformer fault diagnosis system. Methods: A total of 30 groups of transformer fault samples were selected, and 10 groups were randomly selected for network training, and the rest samples were used for testing. The matter-element extension mathematical model of power transformer fault diagnosis was established, and the correlation function was improved according to the characteristics of three ratio method. Each group of power transformer was diagnosed for four months continuously, and the monitoring data and diagnosis were recorded and analyzed result. GPRS communication network is used to complete the communication between data acquisition terminal and monitoring terminal. According to the parameters of the database, the working state of the equipment is set, and various sensors are controlled by the instrument driver module to complete the diagnosis of transformer fault system. Results: The detection success rate of the power transformer fault diagnosis system model established in this paper is as high as 95.6%, the training error is less than 0.000 l, and it can correctly identify the fault types of the non-training samples. It can be seen that the technical support of the Internet of things is helpful to the upgrading and maintenance of the power transformer fault diagnosis system.

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Section: ) Transformer Fault Diagnosis Based On Information Fusion Tementioning

confidence: 99%

Power Transformer Fault Diagnosis System Based on Internet of Things

Wang

Liu

Chen

et al. 2020

Preprint

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“…However, in the proposed Algorithm 1, the approximate problem (16) of subproblem (10) for UAV's trajectory optimization is solved suboptimally. Hence, the convergence analysis for the classic BCD technique cannot be directly used in our case, and the convergence of Algorithm 1 is proved as follows [44].…”

Section: E Convergence and Complexity Analysismentioning

confidence: 99%

Energy-Efficient UAV Backscatter Communication with Joint Trajectory and Resource Optimization

Yang

Dai

Liang

2019

ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

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Backscatter communication which enables wireless-powered backscatter devices (BDs) to transmit information by reflecting incident signals, is an energy-and cost-efficient communication technology for Internetof-Things. This paper considers an unmanned aerial vehicle (UAV)-assisted backscatter communication network (UBCN) consisting of multiple BDs and carrier emitters (CEs) on the ground as well as a UAV.A communicate-while-fly scheme is first designed, in which the BDs illuminated by their associated CEs transmit information to the flying UAV in a time-division-multiple-access manner. Considering the critical issue of the UAV's limited on-board energy and the CEs' transmission energy, we maximize the energy efficiency (EE) of the UBCN by jointly optimizing the UAV's trajectory, the BDs' scheduling, and the CEs' transmission power, subject to the BDs' throughput constraints and harvested energy constraints, as well as other practical constraints. Furthermore, we propose an iterative algorithm based on the block coordinated decent method to solve the formulated mixed-integer non-convex problem, in each iteration of which the variables are alternatively optimized by leveraging the cutting-plane technique, the Dinkelbach's method and the successive convex approximation technique. Also, the convergence and complexity of the proposed algorithm are analyzed. Finally, simulation results show that the proposed communicate-while-fly scheme The conference version [1] of this paper was presented 2 achieves significant EE gains compared with the benchmark hover-and-fly scheme. Useful insights on the optimal trajectory design and resource allocation are also obtained. Index TermsBackscatter communication, UAV communication, energy efficiency, trajectory design, resource optimization, iterative algorithm. I. INTRODUCTION A. MotivationInternet-of-Things (IoT) is revolutionizing the way we live by providing ubiquitous connectivity among billions of devices [2]. Backscatter communication (BackCom) enables passive backscatter devices (BDs) to transmit information by modulating incident sinusoidal carriers or ambient radiofrequency (RF) carriers without using any power-hungry or complex RF transmitters, and thus is an energy-and cost-efficient communication technology for IoT devices that typically have limited battery energy and strict cost constraint [3]-[12]. Specifically, the bistatic BackCom (BBC) systems with spatially separated carrier emitters (CEs) and backscatter receivers (BRs) [8] were demonstrated to achieve a communication range on the order of hundreds of meters [9] [10], and has various applications such as monitoring environmental humidity and soil moisture [13].However, the current BBC systems with fixed BRs face two main challenges. First, it is costinefficient to directly deploy a BBC network for data collection in large-scale IoT. Since the communication range of BBC is shorter than that of traditional communication with active radio, many expensive BRs are needed to cover massive BDs. Second, the transmission ...

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“…By assuming that both the RC of BDs and the transmit power of the LT can be adjusted, the resource allocation scheme was designed in the coexistence of cognitive networks and AmbackComs [19], where the sum throughput of the backscatter link is maximized. AmbackCom was combined with full-duplex transmissions in [20], where a full-duplex access point simultaneously transmits signals to its legacy receiver (LR) and receives the backscattered signals from BDs, and the fairness among the backscatter links in terms of the achievable throughput is guaranteed. The performance analysis in terms of ergodic capacity and outage probability has also been investigated in AmBackComs.…”

Section: Introductionmentioning

confidence: 99%

“…In [21] and [27], the energy outage event was not considered. The studies [11]- [17], [19], [20], [22]- [26], [28], [29] assume a linear energy harvesting (EH) model at the BD, which fails to characterize the inherent non-linearity of a practical energy harvester [30]- [32]. The use of an inaccurate EH model will affect the accuracy of signal-to-interferenceplus-noise ratios (SINRs) for both legacy and backscatter links.…”

Section: Introductionmentioning

confidence: 99%

On the Outage Performance of Ambient Backscatter Communications

Shi

Chu

et al. 2020

IEEE Internet Things J.

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Ambient backscatter communications (AmBack-Coms) have been recognized as a spectrum-and energy-efficient technology for Internet of Things, as it allows passive backscatter devices (BDs) to modulate their information into the legacy signals, e.g., cellular signals, and reflect them to their associated receivers while harvesting energy from the legacy signals to power their circuit operation. However, the co-channel interference between the backscatter link and the legacy link and the nonlinear behavior of energy harvesters at the BDs have largely been ignored in the performance analysis of AmBackComs. Taking these two aspects, this paper provides a comprehensive outage performance analysis for an AmBackCom system with multiple backscatter links, where one of the backscatter links is opportunistically selected to leverage the legacy signals transmitted in a given resource block. For any selected backscatter link, we propose an adaptive reflection coefficient (RC), which is adapted to the non-linear energy harvesting (EH) model and the location of the selected backscatter link, to minimize the outage probability of the backscatter link. In order to study the impact of co-channel interference on both backscatter and legacy links, for a selected backscatter link, we derive the outage probabilities for the legacy link and the backscatter link. Furthermore, we study the best and worst outage performances for the backscatter system where the selected backscatter link maximizes or minimizes the signal-tointerference-plus noise ratio (SINR) at the backscatter receiver. We also study the best and worst outage performances for the legacy link where the selected backscatter link results in the lowest and highest co-channel interference to the legacy receiver, respectively. Computer simulations validate our analytical results, and reveal the impacts of the co-channel interference and the EH model on the AmBackCom performance. In particular, the cochannel interference leads to the outage saturation phenomenon in AmBackComs, and the conventional linear EH model results in an over-estimated outage performance for the backscatter link.

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Optimal Resource Allocation in Full-Duplex Ambient Backscatter Communication Networks for Wireless-Powered IoT

Cited by 111 publications

References 45 publications

Power Transformer Fault Diagnosis System Based on Internet of Things

Power Transformer Fault Diagnosis System Based on Internet of Things

Energy-Efficient UAV Backscatter Communication with Joint Trajectory and Resource Optimization

On the Outage Performance of Ambient Backscatter Communications

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