Application of smart antenna technologies in simultaneous wireless information and power transfer

Ding, Zhiguo; Zhong, Caijun; Ng, Derrick Wing Kwan; Peng, Mugen; Suraweera, Himal A.; Schober, Robert; Poor, H. Vincent

doi:10.1109/mcom.2015.7081080

Cited by 430 publications

(276 citation statements)

References 15 publications

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“…6, where higher diversity order clearly provides a substantial improvement into the system throughput. As ZF is used at the destination, it is to be emphasized that the performance of the setting (3,3,3,2) is equivalent to that of (3, 3, 1, 0) as two antennas (degrees of freedom) at the destination are used for null space projection to eliminate the CCI, i.e., configurations with equivalent (N S , N R , N D − M ) settings will have the same performance. Fig.…”

Section: B Ergodic Capacity Analysismentioning

confidence: 99%

“…Therefore, different wireless information and power transfer (WIPT) architectures have been proposed in the literature (see e.g., [1], [2], [7], [8]), namely, time-switching receiver where the receiver switches over time between information decoding and energy harvesting, power-splitting receiver where the receiver splits the signal into two portions, one for information decoding and the other for harvesting energy, and antennaselection receiver in the case of multiple transmit antennas where a subset of the available antennas is used for information decoding while the remaining set is used for energy harvesting. The optimal switching, splitting, or selection ratio which maximizes the overall system throughput is selected.…”

Section: Introductionmentioning

confidence: 99%

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The Performance of Wireless Powered MIMO Relaying With Energy Beamforming

Almradi

Hamdi

2016

IEEE Trans. Commun.

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Abstract-This paper analyzes the performance of energyconstrained dual-hop amplify-and-forward (AF) relaying systems with multi-antenna nodes, in the presence of multiple co-channel interferers (CCI) at the destination. To maximize the overall signal-to-interference-plus-noise ratio (SINR) as well as the harvested energy so as to mitigate the severe effects of fading and enable long-distance wireless power transfer, hop-by-hop information and energy beamforming is proposed where the transmitted signal is steered along the strongest eigenmode of each hop. The wirelessly powered relay scavenge energy from the source information radio-frequency (RF) signal through energy beamforming, where both the time-switching receiver (TSR) and power-splitting receiver (PSR) are considered, then uses the harvested energy to forward the source message to the destination. To this end, tight lower and upper bound expressions for the outage probability and ergodic capacity are presented in closed-form. These are employed to investigate the throughput of the delay-constrained and delay-tolerant transmission modes. In addition, the asymptotic high signal-to-noise ratio (SNR) outage probability and ergodic capacity approximations are derived, where the achievable diversity order is also presented. Numerical results sustained by Monte Carlo simulations show the tightness of the proposed analytical expressions. The impact of various parameters such as energy harvesting time, power-splitting ratio, source transmit power and the number of antennas on the system throughput is also considered.Index Terms-MIMO relaying, half-duplex relaying, beamforming, maximum ratio transmission (MRT), maximum ratio combining (MRC), zero-forcing (ZF), wireless power transfer, energy harvesting, outage probability, ergodic capacity.

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Section: B Ergodic Capacity Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Performance of Wireless Powered MIMO Relaying With Energy Beamforming

Almradi

Hamdi

2016

IEEE Trans. Commun.

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“…In this case, the relay needs to transfer both energy and information to the sources. In this paper, we assume that the TS receiver architecture is used at both sources due to its lower hardware complexity and lower computational burden for resource allocation [25]. We assume that both sources have information to transmit to each other.…”

Section: System Modelmentioning

confidence: 99%

Wireless-Powered Communication Networks

Niyato¹,

Hossain²,

Kim³

et al. 2016

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Learn the fundamentals of architecture design, protocol optimization, and application development for wireless-powered communication networks with this authoritative guide. Readers will gain a detailed understanding of the issues surrounding architecture and protocol design, with key topics covered including relay-based energy harvesting systems, multiple-antenna systems for simultaneous wireless information and power transfer (SWIPT), performance modeling and analysis, and ambient wireless energy harvesting based cellular systems. Current applications of energy harvesting and transfer in different wireless networking scenarios are discussed, aiding the understanding of practical system development and implementation issues from an engineering perspective. The first book to provide a unified view of energy harvesting and wireless power transfer networks from a communications perspective, this is an essential text for researchers working on wireless communication networks and wireless systems, RF engineers, and wireless application developers.

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“…One of the research directions is the simultaneous wireless information and power transfer (SWIPT) (e.g., [3]). In SWIPT, the transmitter sends data and energy via the same microwave signal possibly by using the multiple-input and multiple-output (MIMO) technique (e.g., [3]).…”

Section: ⅰ Introductionmentioning

confidence: 99%

“…In SWIPT, the transmitter sends data and energy via the same microwave signal possibly by using the multiple-input and multiple-output (MIMO) technique (e.g., [3]). The other research direction is the wireless powered communication network (WPCN) that refers to the network powered by the RF energy transfer [4] .…”

Section: ⅰ Introductionmentioning

confidence: 99%

RF Energy Transfer Testbed Based on Off-the-shelf Components for IoT Application

Aziz¹,

Tribudi²,

Ginting³

et al. 2015

The Journal of Korean Institute of Communications and Informati

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In this paper, we introduce a testbed for testing the RF energy transfer technology in the Internet of Things (IoT) environment, and provide experimental results obtained by using the testbed. The IoT environment considered in this paper consists of a power beacon, which is able to wirelessly transfers energy via microwave, and multiple sensor nodes, which makes use of the energy received from the power beacon. We have implemented the testbed to experiment the RF energy transfer in such IoT environment. We have used off-the-shelf hardware components to build the testbed and have made the tesbed controlled by software so that various energy and data transmission protocol experiments can easily be conducted. We also provide experimental results and discuss the future research direction.

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Application of smart antenna technologies in simultaneous wireless information and power transfer

Cited by 430 publications

References 15 publications

The Performance of Wireless Powered MIMO Relaying With Energy Beamforming

The Performance of Wireless Powered MIMO Relaying With Energy Beamforming

Wireless-Powered Communication Networks

RF Energy Transfer Testbed Based on Off-the-shelf Components for IoT Application

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