Novel Frequency-Splitting SWIPT for Overcoming Amplifier Nonlinearity

Jang, Hyeon Ho; Choi, Kae Won; Kim, Dong In

doi:10.1109/lwc.2020.2971983

Cited by 27 publications

(13 citation statements)

References 7 publications

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“…It was shown in [118] that under average transmit power, amplitude, and (nonlinear) delivered output DC power constraints, the optimal capacity achieving distributions are discrete with a finite number of mass points for the amplitude and continuous uniform for the phase (see also [2]). Other SWIPT design to account for HPA nonlinearities have been discussed in [119], [120] and is further discussed in Section IV-B1.…”

Section: Signal Processing Techniques For Wiptmentioning

confidence: 99%

Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing

Clerckx

Huang

Varshney

et al. 2021

IEEE J. Sel. Top. Signal Process.

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Wireless power transfer (WPT) is an emerging paradigm that will enable using wireless to its full potential in future networks, not only to convey information but also to deliver energy. Such networks will enable trillions of future low-power devices to sense, compute, connect, and energize anywhere, anytime, and on the move. The design of such future networks brings new challenges and opportunities for signal processing, machine learning, sensing, and computing so as to make the best use of the RF radiations, spectrum, and network infrastructure in providing cost-effective and realtime power supplies to wireless devices and enable wirelesspowered applications. In this paper, we first review recent signal processing techniques to make WPT and wireless information and power transfer (WIPT) as efficient as possible. Topics include high-power amplifier and energy harvester nonlinearities, active and passive beamforming, intelligent reflecting surfaces, receive combining with multi-antenna harvester, modulation, coding, waveform, large-scale (massive) multiple-input multipleoutput (MIMO), channel acquisition, transmit diversity, multiuser power region characterization, coordinated multipoint, and distributed antenna systems. Then, we overview two different design methodologies: the model and optimize approach relying on analytical system models, modern convex optimization, and communication/information theory, and the learning approach based on data-driven end-to-end learning and physics-based learning. We discuss the pros and cons of each approach, especially when accounting for various nonlinearities in wireless-powered networks, and identify interesting emerging opportunities for the approaches to complement each other. Finally, we identify new emerging wireless technologies where WPT may play a key role-wireless-powered mobile edge computing and wirelesspowered sensing-arguing WPT, communication, computation, and sensing must be jointly designed.

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Section: Signal Processing Techniques For Wiptmentioning

confidence: 99%

Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing

Clerckx

Huang

Varshney

et al. 2021

IEEE J. Sel. Top. Signal Process.

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“…In [19] and [20], the DC sub-carrier of an orthogonal frequency division multiplexing (OFDM) IT signal is used as a PT signal. In the former study, the receiver extracts the DC PT signal using a local oscillator operating at the carrier frequency and a DC LPF.…”

Section: A Motivation and Related Workmentioning

confidence: 99%

Frequency-Domain SWIPT and Modulation Classification: Design and Experimental Validation

Gupta

Ntougias

Krikidis

2021

IEEE Open J. Commun. Soc.

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Simultaneous wireless information and power transfer (SWIPT) constitutes an emerging paradigm that prolongs the lifetime of energy-constrained devices, such as wireless sensors and Internet-of-Things (IoT) nodes. Its frequency-domain (FD) variant enables energy harvesting (EH) by using (low-power) local oscillators/mixers. In this paper, a novel FD-SWIPT waveform design that minimizes the multitone interference induced to the information signal by the energy signal, thus eliminating the need for using receive filters to this end, is described. The inherent interference suppression of the proposed strategy allows also for applying modulation classification (MC). This functionality is highly desirable in contemporary networks, where the access points utilize adaptive transmission. In this context, we analytically derive the average error probability of the proposed waveform over a Rayleigh fading channel for various modulation schemes under non-zero interference and frequency synchronization errors. Furthermore, we optimize the power of the energy tones, such that the signal-to-interference-ratio at the information signal is maximized subject to the EH and transmission power constraints. In addition, we investigate the coexistence of SWIPT with blind MC under this framework. Numerical simulation results reveal that the proposed approach substantially increases both the data rate and the harvested power in comparison to the conventional power-splitting method at the cost of a negligibly higher error probability. Also, they indicate that the employed MC scheme achieves a high success rate even in the low signal-to-noise-ratio regime. The proposed concept is validated experimentally in a realistic indoor environment by using a testbed based on software-defined radio units.

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“…As an emerging technique, wireless power transmission (WPT) technique harvesting energy from electromagnetic radiation of the radio frequency (RF) signal is a promising solution to provide sustainable energy for wireless devices [1][2][3]. Recently, RF power harvesting has been widely studied and applied in wireless systems which are hard to acquire regular electrical supply, especially under conditions of frequent movement and wide coverage of wireless terminals [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Analysis of SWIPT-Enabled Relay Networks with Full-Duplex Destination-Aided Jamming

Shi

Wang

et al. 2021

Security and Communication Networks

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Simultaneous wireless information and power transfer (SWIPT) is a major breakthrough in the field of low-power wireless information transmissions. In this paper, the secrecy performance of the SWIPT-enabled relay network with full-duplex destination-aided jamming is assessed, where both the power-splitting (PS) and time-switching (TS) schemes at the relay are considered with the linear and nonlinear energy harvesting models. The relay harvests energy from the confidential signal and artificial noise sent by the source and destination, respectively, and forwards the amplified signal to the destination, in the presence of an eavesdropper. The analytical closed-form expressions of the connection outage probability (COP), secrecy outage probability (SOP), and transmission outage probability (TOP) for PS- and TS-based schemes are derived, and the closed-form expression of the lower bound of ergodic secrecy capacity (ESC) is calculated. The asymptotic-form expressions of the COP, SOP, TOP, and ESC are further analyzed to capture the valuable information in the high SNR regime. Numerical results verify the correctness of analytical results, reveal the effects of the PS/TS ratio, and transmit the signal-to-noise ratio on secrecy performance.

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Novel Frequency-Splitting SWIPT for Overcoming Amplifier Nonlinearity

Cited by 27 publications

References 7 publications

Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing

Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing

Frequency-Domain SWIPT and Modulation Classification: Design and Experimental Validation

Analysis of SWIPT-Enabled Relay Networks with Full-Duplex Destination-Aided Jamming

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