Power-Efficient and Secure WPCNs with Hardware Impairments and Non-Linear EH Circuit
Elena Boshkovska, Derrick Wing Kwan Ng, Linglong Dai, Robert Schober

TL;DR
This paper develops power-efficient, secure resource allocation algorithms for wireless-powered communication networks considering hardware impairments, channel imperfections, and non-linear energy harvesting circuits, with both optimal and suboptimal solutions.
Contribution
It introduces a robust resource allocation framework accounting for hardware impairments and non-linear energy harvesting, providing both optimal and low-complexity suboptimal algorithms.
Findings
Residual HWIs limit performance at high power regimes.
More antennas reduce power consumption and mitigate HWIs effects.
Imperfect CSI increases power needs and worsens HWIs impact.
Abstract
In this paper, we design a robust resource allocation algorithm for a wireless-powered communication network (WPCN) taking into account residual hardware impairments (HWIs) at the transceivers, the imperfectness of the channel state information, and the non-linearity of practical radio frequency energy harvesting circuits. In order to ensure power-efficient secure communication, physical layer security techniques are exploited to deliberately degrade the channel quality of a multiple-antenna eavesdropper. The resource allocation algorithm design is formulated as a non-convex optimization problem for minimization of the total consumed power in the network, while guaranteeing the quality of service of the information receivers in terms of secrecy rate. The globally optimal solution of the optimization problem is obtained via a two-dimensional search and semidefinite programming…
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