Performance Analysis of Power Amplifier Nonlinearity on Multi-Tone SWIPT

Moon, Jong Ho; Jang, Hyeon Ho; Kim, Dong In

doi:10.1109/lwc.2020.3042852

Cited by 9 publications

(5 citation statements)

References 12 publications

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“…Problem (28) can be solved by SQP in a highly efficient way. SQP is extended from solving the KKT conditions of an arbitrary nonlinear program by using the Newton-Raphson (NR) method (named by KKT-NR) [37].…”

Section: B Model I: Input Waveform With the Same Frequencies As The T...mentioning

confidence: 99%

Waveform Design for Wireless Power Transfer with Power Amplifier and Energy Harvester Non-Linearities

Zhang¹,

Clerckx²

2022

Preprint

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Waveform optimization has shown its great potential to boost the performance of far-field wireless power transfer (WPT). Current research has optimized transmit waveform, adaptive to channel state information (CSI), to maximize the harvested power in WPT while accounting for energy harvester (EH)'s non-linearity. However, the existing transmit waveform design disregards the non-linear high power amplifiers (HPA) at the transmitter. Driven by this, this paper optimizes the multi-carrier waveform at the input of HPA to maximize the harvested DC power considering both HPA's and EH's non-linearities. Two optimization models are formulated based on whether the frequencies of the multi-carrier waveform are concentrated within the transmit pass band or not. Analysis and simulations show that, while EH's non-linearity boosts the power harvesting performance, HPA's non-linearity degrades the harvested power. Hence, the optimal waveform shifts from multi-carrier that exploits EH's non-linearity to single-carrier that reduces HPA's detrimental non-linear distortion as the operational regime of WPT becomes more sensitive to HPA's non-linearity and less sensitive to EH's non-linearity (and inversely). Simultaneously, operating towards HPA's non-linear regime by increasing the input signal power benefits the harvested power since HPA's DC power supply is better exploited, whereas the end-to-end power transfer efficiency (PTE) might decrease because of the increasing non-linear degradation. Throughout the simulations, the proposed waveforms show significant gain over those not accounting for HPA's non-linearity, especially in frequency-flat channels. We also compare the two proposed waveforms and show that the severity of HPA's non-linearity dictates which of the two proposed waveforms is more beneficial.

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Section: B Model I: Input Waveform With the Same Frequencies As The T...mentioning

confidence: 99%

Waveform Design for Wireless Power Transfer with Power Amplifier and Energy Harvester Non-Linearities

Zhang¹,

Clerckx²

2022

Preprint

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“…(9) It is challenging to obtain the closed-form expression of the average power with HPA above. In general, the average power of multi-tone shaped signal is a function of the number of tones N due to the HPA distortion [14]. On the other hand, the average power of single tone shaped signal depends on ρ.…”

Section: A Unified Signal Design For Swipt With Hpamentioning

confidence: 99%

“…With proper selection of L f and C f values, we can filter out the DC component in (14) which is then approximated to…”

Section: B Unified Receiver With Papr Modulation: How It Workmentioning

confidence: 99%

“…Furthermore, multi-tone signals with high PAPR are more sensitive to the nonlinearity of HPA which can distort the amplitude of signal. Such distortion on signal waveform significantly impacts on both EH and ID performance of multitone SWIPT, as studied in [14]. Also, the high PAPR signal can cause in-band interference to nearby unintended information receivers, such as low noise amplifier (LNA) saturation [15].…”

Section: Introductionmentioning

confidence: 99%

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Unified Simultaneous Wireless Information and Power Transfer for IoT: Signaling and Architecture with Deep Learning Adaptive Control

Moon¹,

Jang²,

Kim³

2021

Preprint

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In this paper, we propose a unified SWIPT signal and its architecture design in order to take advantage of both single tone and multi-tone signaling by adjusting only the power allocation ratio of a unified signal. For this, we design a novel unified and integrated receiver architecture for the proposed unified SWIPT signaling, which consumes low power with an envelope detection. To relieve the computational complexity of the receiver, we propose an adaptive control algorithm by which the transmitter adjusts the communication mode through temporal convolutional network (TCN) based asymmetric processing. To this end, the transmitter optimizes the modulation index and power allocation ratio in short-term scale while updating the mode switching threshold in long-term scale. We demonstrate that the proposed unified SWIPT system improves the achievable rate under the self-powering condition of low-power IoT devices. Consequently it is foreseen to effectively deploy low-power IoT networks that concurrently supply both information and energy wirelessly to the devices by using the proposed unified SWIPT and adaptive control algorithm in place at the transmitter side.

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“…Indeed, high PAPR signals offer the advantage of increased power transfer performance. However, these high PAPR signals may saturate the non-linear amplifier at the transmitter and subsequently degrade the information transfer performance [61]. Therefore, a complete transmitter-receiver system analysis is required to attain the actual PCE and information transfer performance of these SWIPT transmission schemes.…”

mentioning

confidence: 99%

Internet of Things Networks: Enabling Simultaneous Wireless Information and Power Transfer

et al. 2022

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The number of sensors deployed in the world is expected to explode in the near future. At this moment, nearly 30 billion Internet of Things (IoT) devices are connected and this number is expected to double in the next four years. While not all of these are battery powered, as technology becomes smaller and mobility becomes more important to consumers, soon a larger portion will be. This forecast predicts that the number of machine to machine (M2M) devices will have the largest increase, representing nearly 50% of all devices in 2023 [1,2]. These devices are typically small and therefore ideal candidates to be powered wirelessly. Typical examples are healthcare monitoring, smart homes, and industrial 1

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Performance Analysis of Power Amplifier Nonlinearity on Multi-Tone SWIPT

Cited by 9 publications

References 12 publications

Waveform Design for Wireless Power Transfer with Power Amplifier and Energy Harvester Non-Linearities

Waveform Design for Wireless Power Transfer with Power Amplifier and Energy Harvester Non-Linearities

Unified Simultaneous Wireless Information and Power Transfer for IoT: Signaling and Architecture with Deep Learning Adaptive Control

Internet of Things Networks: Enabling Simultaneous Wireless Information and Power Transfer

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