Outage Probability and Throughput Analysis of SWIPT Enabled Cognitive Relay Network With Ambient Backscatter

Shah, Syed Tariq; Choi, Kae Won; Lee, Tae-Jin; Chung, Min Young

doi:10.1109/jiot.2018.2837120

Cited by 51 publications

(52 citation statements)

References 29 publications

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“…We conclude that µ > 0, since Theorem 1 implies P ⋆ k = 0, ∀k, and the objective value is zero, if µ ≤ 0, which is in contradiction with the optimality of {P ⋆ k }'s. From Theorem 1, the optimal solution of problem (13) can be obtained as follows. With G(λ, θ, µ) obtained for each given pair of λ, θ and µ, the optimal dual variables λ, θ and µ that minimize G(λ, θ, µ) can then be efficiently obtained by a sub-gradient based algorithm, with the subgradient of G(λ, θ, µ) given by…”

Section: Proof Please See Appendix Amentioning

confidence: 99%

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

Yang

Yuan

Liang

et al. 2019

IEEE Internet Things J.

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This paper considers an ambient backscatter communication (AmBC) network in which a full-duplex access point (FAP) simultaneously transmits downlink orthogonal frequency division multiplexing (OFDM) signals to its legacy user (LU) and receives uplink signals backscattered from multiple BDs in a time-division-multiple-access manner. To maximize the system throughput and ensure fairness, we aim to maximize the minimum throughput among all BDs by jointly optimizing the backscatter time and reflection coefficients of the BDs, and the FAP's subcarrier power allocation, subject to the LU's throughput constraint, the BDs' harvested-energy constraints, and other practical constraints. For the case with a single BD, we obtain closed-form solutions and propose an efficient algorithm by using the Lagrange duality method. For the general case with multiple BDs, we propose an iterative algorithm by leveraging the block coordinated decent and successive convex optimization techniques. We further show the convergence performances of the proposed algorithms and analyze their complexities. In addition, we study the throughput region which characterizes the Pareto-optimal throughput trade-offs among all BDs. Finally, extensive simulation results show that the proposed joint design achieves significant throughput gain as compared to the benchmark schemes.

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Section: Proof Please See Appendix Amentioning

confidence: 99%

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

Yang

Yuan

Liang

et al. 2019

IEEE Internet Things J.

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“…Case 1. During the geometric WF based power distribution phase, if there is no power available at relay for the successful transmission of a particular signal to its corresponding destination (see lines (9) and (22) of Algorithm 1), the whole received signal is harvested ( = 1).…”

Section: )mentioning

confidence: 99%

“…The idea of wireless energy harvesting offers a practical solution to extend the lifetime of energy constrained networks and also improve communication reliability. Due to these features, recent research works have widely studied its use in state-of-the-art next-generation technologies such as machine-to-machine communications (M2M), Internet of Things (IoT), MIMO, and 5G cellular networks [9][10][11][12]. Moreover, it is also well-known that relays can extend the coverage, improve quality-of-service (QoS), and improve capacity of networks by dividing the direct source-to-destination communication channel into two appropriate source-to-relay and relay-to-destination communication paths [13].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Wireless Energy Harvesting and Optimal Distribution in Multipair DF Relay Network with Nonlinear Energy Conversion Model

Shah

Costa

Choi

et al. 2018

Wireless Communications and Mobile Computing

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Wireless energy harvesting has emerged as an efficient solution to prolong the lifetime of wireless networks composed of energyconstrained nodes. In this paper, we consider a multipoint-to-multipoint relay network, where multiple source nodes communicate with their respective destination nodes via intermediate energy-constrained decode-and-forward (DF) relay. The performance of two different transmission modes, namely, delay tolerant and delay nontolerant, is studied. Based on power-splitting relaying protocol (PSR), optimal energy harvesting and distribution schemes for both transmission modes are provided. In addition, for more realistic and practical analysis, we consider a nonlinear energy conversion model for energy harvesting at the relay node. Our numerical results provide useful insights into different system parameters of a nonlinear energy harvesting-based multipair DF relay network.

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“…The authors in [27] derived the outage probability of the backscatter link for a two-state modulation at the BD. The authors of [28] considered the backscatter links as the secondary users in a cognitive relay network, and derived the outage probabilities of both the primary and backscatter links. In [29], the authors proposed a novel hybrid deviceto-device (D2D) transmitter that alternately operates in the backscatter mode and the HTT mode, and analyzed the outage probability and the average outage capacity.…”

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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Outage Probability and Throughput Analysis of SWIPT Enabled Cognitive Relay Network With Ambient Backscatter

Cited by 51 publications

References 29 publications

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

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

Dynamic Wireless Energy Harvesting and Optimal Distribution in Multipair DF Relay Network with Nonlinear Energy Conversion Model

On the Outage Performance of Ambient Backscatter Communications

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