MIMO SWIPT Systems With Power Amplifier Nonlinearities and Memory Effects

Mukherjee, Priyadarshi; Lajnef, Souhir; Krikidis, Ioannis

doi:10.1109/lwc.2020.3017554

Cited by 18 publications

(15 citation statements)

References 14 publications

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“…Similarly, by substituting żsc (t) = 0 in (5c) and combining with (14), we have x sc (t) = ± β(r−1) ǫ x , y sc (t) = ± β(r−1) ǫ y , z sc (t) = r−1 ǫ z .…”

Section: Appendix C Proof Of Propositionmentioning

confidence: 94%

“…The above corollary follows directly from Proposition 3, by considering ǫ x → 1. Techniques such as predistortion [14] enable to overcome the HPA imperfections, which further enhances the WPT performance. Note that, we obtain closed-form expressions of the harvested DC for the stable operation region of the scaled Lorenz attractor circuit.…”

Section: B Harvested Energymentioning

confidence: 99%

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Multi-dimensional Lorenz-Based Chaotic Waveforms for Wireless Power Transfer

Mukherjee¹,

Psomas²,

Krikidis³

2021

Preprint

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In this paper, we investigate multi-dimensional chaotic signals with respect to wireless power transfer (WPT). Specifically, we analyze a multi-dimensional Lorenz-based chaotic signal under a WPT framework. By taking into account the nonlinearities of the energy harvesting process, closed-form analytical expressions for the average harvested energy are derived. Moreover, the practical limitations of the high power amplifier (HPA) at the transmitter are also taken into consideration. We interestingly observe that for these types of signals, high peak-to-average-power-ratio (PAPR) is not the only criterion for obtaining enhanced WPT. We demonstrate that while the HPA imperfections do not significantly affect the signal PAPR, it notably degrades the energy transfer performance. As the proposed framework is general, we also demonstrate its application with respect to a Hénon signal based WPT. Finally we compare Lorenz and Hénon signals with the conventional multisine waveforms in terms of WPT performance.

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“…Similarly, by substituting żsc (t) = 0 in (5c) and combining with (14), we have x sc (t) = ± β(r−1) ǫ x , y sc (t) = ± β(r−1) ǫ y , z sc (t) = r−1 ǫ z .…”

Section: Appendix C Proof Of Propositionmentioning

confidence: 94%

Section: B Harvested Energymentioning

confidence: 99%

Multi-dimensional Lorenz-Based Chaotic Waveforms for Wireless Power Transfer

Mukherjee¹,

Psomas²,

Krikidis³

2021

Preprint

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“…On the other hand, experimental studies demonstrate that signals with high peak-to-average-power-ratio (PAPR) e.g., multi-sine, chaotic signals, white noise, etc [16], provide a higher direct-current (DC) output, in comparison to constantenvelop sinusoidal signals [17], [18]. However, signals with high PAPR are more sensitive to high-power amplifier (HPA) nonlinearities, which significantly degrade the quality of the communication [19], [20]. With the exception of a few studies (e.g., [21]), existing works do not consider the effects of HPA on SWIPT performance and assume that the HPA operates always in the linear regime.…”

Section: Introductionmentioning

confidence: 99%

The Capacity of SWIPT Systems over Rayleigh-Fading Channels with HPA

Khalfet

Krikidis

2021

2021 IEEE Information Theory Workshop (ITW)

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In this paper, we study the fundamental limits of simultaneous information and power transfer over a Rayleigh fading channel in the presence of high-power amplifier (HPA) nonlinearity. In particular, a three-party communication system is considered, where a transmitter aims simultaneously conveying information to an information receiver and delivering energy to an energy harvester receiver. We study the information-energy capacity region and the associated input distribution under: i) average-power, peak-power (PP) constraints at the transmitter, b) HPA nonlinearity at the transmitter, and c) nonlinearity of the energy harvesting circuit at the energy receiver. By extending Smith's mathematical framework [1], we show that the optimal input distribution under those constraints is discrete with a finite number of mass points. Moreover, we derive a closed-form expression of the capacity-achieving distribution for the low PP regime, where there is no trade-off between information and energy transfer. Finally, we show that HPA significantly reduces the information energy capacity region.

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“…In our previous work [13], we investigated the effect of practical HPA impairments in SWIPT performance. More specifically, we characterized the achievable R-E region of the considered MIMO SWIPT system and we demonstrated that the HPA significantly degrades SWIPT performance.…”

Section: Introductionmentioning

confidence: 99%