Dual-band rectenna for ambient RF energy harvesting at GSM 900 MHz and 1800 MHz

Ho, Dinh-Khanh; Kharrat, I.; Ngo, Van-Duc; Vuong, Tân-Phu; Nguyen, Quoc-Cuong; Le, Minh Thuy

doi:10.1109/icset.2016.7811800

Cited by 42 publications

(20 citation statements)

References 11 publications

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“…Note that the higher data transfer rate of the ambient RF signal R leads to more sensing data. This is justified that the total amount of harvested energy by a node increases with the increase of R according to (2). Thus, the amount of sensing data of a node increases.…”

Section: Simulation Resultsmentioning

confidence: 95%

“…However, a major issue for ambient RF energy is the ultra low RF power density of the ambient environment. As mentioned in [2], the power density of ambient RF energy is 0.0002 − 1µW /cm 2 . By contrast, the comparable figure for the solar energy is 100 mW /cm 2 .…”

Section: Introductionmentioning

confidence: 90%

“…sources, ambient RF energy has the advantages of stability, low cost and simple fabrication [2]. Based on the characteristics, ambient RF energy-harvesting technology has brought the hope of solving the energy problem in WSNs.…”

Section: Introductionmentioning

confidence: 99%

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An Energy Efficient Cooperative Communication Scheme in Ambient RF Powered Sensor Networks

Liu

Tan

et al. 2019

IEEE Access

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The ambient radio frequency (RF) energy harvesting technology has recently been regarded as a potential solution for powering the wireless sensor networks (WSNs). However, the ultra-low power density of ambient RF energy is the main impediment to its further application. In this paper, we propose a novel energy efficient cooperative communication scheme (EECCS), which combines energy beamforming communication and ambient backscatter communication, to overcome the energy problem of WSNs powered by ambient RF energy harvesting. Moreover, to further reduce the energy consumption of nodes, we present an optimal resource allocation problem for EECCS. It can be formulated as a signomial geometric programming (SGP), which is nonconvex and NP-hard. We develop a Sequential Convex Approximation (SCA) algorithm for finding a solution of this SGP problem, which transforms the SGP problem into a sequence of geometric programming (GP) problems that are convex. The simulation results indicate that the EECCS can improve the energy efficiency of the ambient RF powered WSNs and maximize the total amount of data received by the sink. INDEX TERMS Wireless sensor networks (WSNs), ambient RF energy harvesting, ambient backscatter, energy beamforming, cooperative communication.

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Section: Simulation Resultsmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 90%

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An Energy Efficient Cooperative Communication Scheme in Ambient RF Powered Sensor Networks

Liu

Tan

et al. 2019

IEEE Access

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“…22 displays the 2-D elevation radiation. Table II shows a comparison made between the results of this work and the results of the work done in [14].…”

Section: Rogers Magtrex 555 Laminatementioning

confidence: 99%

“…In addition, it goes over theoretical modelling and the background affecting the different parameters of the antenna design such as radiation conductance, bandwidth, and radiation efficiency. Section III goes over the design of the ground free elliptical microstrip patch antenna, matching, rectifier circuit and simulation (results) of all antenna structures including the one (proposed) of the Magneto-dielectric materials along with a comparison between the results of this paper and [14]. Section IV has the conclusion and recommendations.…”

Section: Microstrip Patch Antenna Miniaturization Usingmentioning

confidence: 99%

Microstrip Patch Antenna Miniaturization Using Magneto-Dielectric Substrates for Electromagnetic Energy Harvesting

AlSharabati

2021

JCOMSS

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A mathematical modelling, and a derivation of the main parameters of the Magneto -Dielectric materials (substrate) and their effect on microstrip patch antenna design is shown. The Magneto -Dielectric materials (substrate) is shown to miniaturize the antenna size and enhance the bandwidth when used in the design of the microstrip patch antenna. The progression of the foundational modelling starts with laying out the concepts of the ferrimagnetic materials in terms of their permeability and permittivity, the components of antenna miniaturization. First, a ground free elliptical microstrip patch antenna (GFDSEPA) is simulated for miniaturization purposes at the 900MHz cellular band. A size reduction of almost 50% as well as bandwidth enhancement (100%) is achieved by utilizing the GFDSEPA. More size reduction is achieved by employing the magnetodielectric structure; in this case the commercially available Rogers MAGTREX 555 substrate is used. Other performance parameters show comparable results between the antenna simulated based on dielectric only substrate and the one based on magneto-dielectric substrate. A comparison of the main parameters between the results of this work and other results in the literature is shown. The application of the microstrip patch antenna design in energy harvesting, by using a rectifier circuit, is shown. Layout scenarios of the energy harvester are proposed. The proposed layout of the energy harvester ensures practicality of the proposed design and assures correlation between simulation results and experimental results. Index Terms-Electromagnetic energy harvesting, microstrip patch antenna, antenna return loss, plane radiation, antenna gain, antenna impedance.

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