Morsi R, Jamali Kooshkghazi V, Ng DWK, Schober R (2018)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2018
Conference Proceedings Title: IEEE International Conference on Communications (ICC)
Event location: Kansas City, Missouri
URI: https://ieeexplore.ieee.org/document/8422269/
In this paper, we study information-theoretic limits for simultaneous wireless information and power
transfer (SWIPT) systems employing a practical nonlinear radio frequency (RF) energy harvesting (EH)
receiver. In particular, we consider a three-node system with one transmitter that broadcasts a common
signal to separated information decoding (ID) and EH receivers. Owing to the nonlinearity of the EH
receiver circuit, the efficiency of wireless power transfer depends significantly on the waveform of the
transmitted signal. In this paper, we aim to answer the following fundamental question: What is the
optimal input distribution of the transmit waveform that maximizes the rate of the ID receiver for a
given required harvested power at the EH receiver? In particular, we study the capacity of a SWIPT
system impaired by additive white Gaussian noise (AWGN) under average-power (AP) and peak-power
(PP) constraints at the transmitter and an EH constraint at the EH receiver. Using Hermite polynomial
bases, we prove that the optimal capacity-achieving input distribution that maximizes the rate-energy
region is unique and discrete with a finite number of mass points. Our numerical results show that the
rate-energy region is enlarged for a larger PP constraint and that the rate loss of the considered SWIPT
system compared to the AWGN channel without EH receiver is reduced by increasing the AP budget.
APA:
Morsi, R., Jamali Kooshkghazi, V., Ng, D.W.K., & Schober, R. (2018). On the Capacity of SWIPT Systems with a Nonlinear Energy Harvesting Circuit. In IEEE International Conference on Communications (ICC). Kansas City, Missouri, US.
MLA:
Morsi, Rania, et al. "On the Capacity of SWIPT Systems with a Nonlinear Energy Harvesting Circuit." Proceedings of the International Conference on Communications (ICC), Kansas City, Missouri 2018.
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