Leveraging RF Power for Intelligent Tag Networks

Salman, Emre; Stanaćević, Milutin; Das, Samir R.; Djurić, Petar M.

doi:10.1145/3194554.3194621

Cited by 6 publications

(22 citation statements)

References 36 publications

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“…We use the YALMIP toolbox with the SeDuMi solver to solve the convex problems. For benchmarking purpose, we compare the performance of Algorithm 1 with the use of DCC in (9) and four other suboptimal schemes: (i) "Equal Block Time (EBT)" with τ = 0.5; (ii) "Equal Power Splitting (EPS)" with α = 0.5; (iii) "Equal Block Time and Equal Power Splitting (EBT-EPS)" with τ = α = 0.5; and (iv) "Non-SIC" without using the SIC at the ID receiver.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…The DC power is stored in a rechargeable battery to be used for the data transmission in the WIT phase. By the charge-recycling theory [8], [9], the average harvested AC power supplying ACC can be expressed as…”

Section: Sourcesmentioning

confidence: 99%

“…where β = 0 and P DCC min is the minimum DC power required for DCC. In addition to no EH conversion loss by the use of ACC, the benefit of problem (8) over (9) can be realized by the fact that P DCC min is much higher than P ACC min [9].…”

Section: B Optimization Problem Formulationmentioning

confidence: 99%

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Optimization of Rate Fairness in Multi-Pair Wireless-Powered Relaying Systems

Bui

Nguyen

et al. 2020

IEEE Commun. Lett.

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This letter considers a multi-pair decode-andforward relay network where a power-splitting (PS) protocol is adopted at the energy-constrained relay to provide simultaneous wireless information and energy harvesting (EH). To achieve higher efficiency of EH, we propose a new PS-based EH architecture at the relay by incorporating an alternating current (AC) computing logic, which is employed to directly use the wirelessly harvested AC energy for computational blocks. Under a nonlinear EH circuit, our goal is to maximize the fairness of end-to-end rate among user pairs subject to power constraints, resulting in a nonconvex problem. We propose an iterative algorithm to achieve a suboptimal and efficient solution to this challenging problem by leveraging the inner approximation framework. Numerical results demonstrate that the proposed algorithm outperforms the traditional direct current computing and other baseline schemes.Index Terms-Inner approximation, relay network, simultaneous wireless information and power transfer (SWIPT).

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Sourcesmentioning

confidence: 99%

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Optimization of Rate Fairness in Multi-Pair Wireless-Powered Relaying Systems

Bui

Nguyen

et al. 2020

IEEE Commun. Lett.

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“…On this basis, not only the computing efficiency's energy is improved but the part of AC-to-DC conversion loss for computing blocks is also eliminated. The promise of the approach has been demonstrated in previous works [9], [10]. However, this approach calls for the redesign of existing architectures and managing strategies at the receiver.…”

Section: Introductionmentioning

confidence: 91%

“…However, the rectified voltage amplitude, determining the computational ability of devices, is often low [9]. Motivated by this issue, E. Salman et al have recently developed a promising approach for computing circuits, that can be directly powered by AC in [9], [10]. On this basis, not only the computing efficiency's energy is improved but the part of AC-to-DC conversion loss for computing blocks is also eliminated.…”

Section: Introductionmentioning

confidence: 99%

Robust Design of AC Computing-Enabled Receiver Architecture for SWIPT Networks

Tran

Kaddoum

2019

IEEE Wireless Commun. Lett.

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Inspired by the direct use of alternating current (AC) for computation, we propose a novel integrated information and energy receiver architecture for simultaneous wireless information and power transfer (SWIPT) networks. In this context, the AC computing method, in which wirelessly harvested AC energy is directly used to supply the computing block of receivers, enhances not only computational ability but also energy efficiency over the conventional direct current (DC) one. Further, we aim to manage the trade-off between the information decoding (ID) and energy harvesting (EH) optimally while taking imperfect channel estimation into account. It results in a worst-case optimization problem of maximizing the data rate under the constraints of an EH requirement, the energy needed for supplying the AC computational logic, and a transmit power budget. Then, we propose a method to derive closed-form optimal solutions. The numerical results demonstrate that the proposed architecture with AC computing significantly improves the rate-energy region. Index TermsEnergy harvesting, simultaneous wireless information and power transfer, Internet of Things.

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Energy‐efficient alternating current computing‐enabled receiver design for K‐user interference channel simultaneous wireless information and power transfer networks

Sadik

Shokair

Elsabrouty

et al. 2022

Int J Communication

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Energy efficiency is one of the key challenges in fifth generation (5G) and beyond wireless communication systems. Recently, simultaneous wireless information and power transfer (SWIPT) systems are usually adopted to enhance energy efficiency. The harvested energy through power transfer is first rectified to generate the direct current (DC) voltage that is used to power the communication devices. This rectification reduces the energy efficiency due to losses in conversion to DC voltages. In this work, we consider integrated information decoding and energy harvesting receiver architecture through power splitting SWIPT network that enables alternating current (AC) computational logic. The AC computing method is used to supply the computing block of receivers to further enhance the energy efficiency. Multiuser multiple input single output (MISO) interference channel (IC) is considered, where receivers are required to compromise between quality of service (QoS) and energy consumption. The system sum rate is maximized under sum harvested energy and total transmit power constraints through joint beamforming and power splitting factors design. For the problem tractability in the proposed AC computing-enabled receiver, standard beamforming schemes are deployed, namely, zero forcing (ZF), regularized zero forcing (RZF), maximum ratio transmission (MRT), and a hybrid scheme between MRT and ZF beamforming (MRT-ZF). Moreover, the power splitting ratios design problem is transformed into a one dimension search problem. Simulation results show that different beamforming designs exhibit a great trade-off between the achieved rate and the harvested energy.

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Leveraging RF Power for Intelligent Tag Networks

Cited by 6 publications

References 36 publications

Optimization of Rate Fairness in Multi-Pair Wireless-Powered Relaying Systems

Optimization of Rate Fairness in Multi-Pair Wireless-Powered Relaying Systems

Robust Design of AC Computing-Enabled Receiver Architecture for SWIPT Networks

Energy‐efficient alternating current computing‐enabled receiver design for K‐user interference channel simultaneous wireless information and power transfer networks

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