Wireless Information and Power Transfer: Nonlinearity, Waveform Design, and Rate-Energy Tradeoff

Clerckx, Bruno

doi:10.1109/tsp.2017.2775593

Cited by 199 publications

(282 citation statements)

References 54 publications

(164 reference statements)

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“…Here, by varying the received SINR, the outage performance is analyzed. The outage probability curves of

P U_{2}

are plotted based on Equation , Clerckx, and Yue et al For

α = 0.5

, the outage probability of

P U_{2}

for HD‐NOMA outperforms HD‐SWIPT‐NOMA independent of SNR values. The outage performance of FD‐SWIPT‐NOMA performs better than FD‐NOMA up to 15‐dB SNR and becomes worse at high SNR.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Here, by varying the harvesting coefficient , the outage performance is analyzed. The outage probability curves of PU 1 is plotted based on Equation (19). It is observed that in the absence of interference, ie, noise limited regime, the outage probability of PU 1 monotonically decreases as SNR increases.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Conventionally, the energy-limited constraint is addressed by incorporating simultaneous wireless information and power transfer (SWIPT) technique in which energy is harvested from the radio frequency signals. 19,20 Time-switching mechanism is applied in SWIPT-based NOMA system. 20 In the proposed network, time-switching mechanism is applied at SS for energy harvesting and information processing.…”

Section: Contribution With Related Workmentioning

confidence: 99%

“…The bottleneck in FD mode is that it drains more power to enable transceiver operation. Conventionally, the energy‐limited constraint is addressed by incorporating simultaneous wireless information and power transfer (SWIPT) technique in which energy is harvested from the radio frequency signals . Time‐switching mechanism is applied in SWIPT‐based NOMA system .…”

Section: Introductionmentioning

confidence: 99%

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Outage analysis of SWIPT‐based full‐duplex cognitive NOMA downlink system over Nakagami‐m fading channels

Sashiganth

Thiruvengadam²,

Kumar

2020

Int J Communication

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Summary Cognitive nonorthogonal multiple access (NOMA) technique allows multiple users to share the same time and same frequency resources to fulfil the reliability and spectral efficiency requirements of 5G communication standards. In this paper, simultaneous wireless information and power transfer (SWIPT)–based full‐duplex cognitive NOMA downlink system is proposed. In this system, secondary source (SS) serves as a relay to far primary user as there is no direct link from the primary source. NOMA technique is used at SS to transmit information to far primary user and secondary user. The time switching mechanism is adopted at SS for harvesting energy and information decoding. Analytical closed‐form expressions are derived for the outage probabilities of both primary and secondary users. Outage analysis is carried out in Nakagami‐ m fading environment in the presence of self‐interference at SS. In addition to that, the optimal harvesting time to maximize the instantaneous throughput of the far primary user is also derived. Numerical results are plotted to validate the derived expressions. It is inferred that the outage probability of the proposed system depends on the fading environment, harvesting parameters, and self‐interference at SS.

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“…Here, by varying the received SINR, the outage performance is analyzed. The outage probability curves of

P U_{2}

are plotted based on Equation , Clerckx, and Yue et al For

α = 0.5

, the outage probability of

P U_{2}

Section: Numerical Resultsmentioning

confidence: 99%

Section: Numerical Resultsmentioning

confidence: 99%

Section: Contribution With Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Outage analysis of SWIPT‐based full‐duplex cognitive NOMA downlink system over Nakagami‐m fading channels

Sashiganth

Thiruvengadam²,

Kumar

2020

Int J Communication

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“…By introducing a simple and tractable model of the diode nonlinearity (i.e., physics-based diode model), the work in [10] deals with the design of waveforms that maximizes the DC power at the output of the rectifier. This work is extended in [11] to convey both information and energy by transmitting a superposition of unmodulated and modulated multi-tone signals.…”

mentioning

confidence: 99%

Specific Absorption Rate-Aware Beamforming in MISO Downlink SWIPT Systems

Zhang

Zheng

Krikidis

et al. 2020

IEEE Trans. Commun.

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This paper investigates the optimal transmit beamforming design of simultaneous wireless information and power transfer (SWIPT) in the multiuser multiple-input-single-output (MISO) downlink with specific absorption rate (SAR) constraints. We consider the power splitting technique for SWIPT, where each receiver divides the received signal into two parts: one for information decoding and the other for energy harvesting with a practical non-linear rectification model. The problem of interest is to maximize as much as possible the received signalto-interference-plus-noise ratio (SINR) and the energy harvested for all receivers, while satisfying the transmit power and the SAR constraints by optimizing the transmit beamforming at the transmitter and the power splitting ratios at different receivers. The optimal beamforming and power splitting solutions are obtained with the aid of semidefinite programming and bisection search. Low-complexity fixed beamforming and hybrid beamforming techniques are also studied. Furthermore, we study the effect of imperfect channel information and radiation matrices, and design robust beamforming to guarantee the worst-case performance. Simulation results demonstrate that our proposed algorithms can effectively deal with the radio exposure constraints and significantly outperform the conventional transmission scheme with power backoff.Index Terms-Wireless power transfer, SWIPT, specific absorption rate, MU MISO, beamforming, optimization. I. INTRODUCTIONSimultaneous wireless information and power transfer (SWIPT) is a new technology where information and energy flows co-exist, co-engineered to simultaneously provide communication connectivity and energy sustainability [1], [2]. It has been considered as a new promising solution to transmit information and energy to low power devices and to extend the battery lifetime of wireless networks, especially in wireless sensor networks and Internet of Things (IoT) applications. Compared to the traditional energy harvesting (EH) and green communication techniques, which collect energy from natural and man-made sources such as solar, wind or mechanical vibration, SWIPT can be fully controlled and optimized by harvesting energy from the radio-frequency (RF) signals. From the seminal work of Varshney [36], who introduced the concept of SWIPT and the fundamental trade-off between information and energy transfer (i.e., information-energy capacity region), substantial works appear in the literature that study SWIPT from different perspectives.

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