Abstract

This paper considers a multiple-input single-output downlink system consisting of one multiantenna transmitter, one single-antenna information receiver (IR), and multiple single-antenna energy-harvesting receivers (ERs) for simultaneous wireless information and power transfer. The design is to keep the message secret to the ERs while maximizing the information rate at the IR and meeting the energy harvesting constraints at the ERs. Technically, our objective is to optimize the information-bearing beam and artificial noise energy beam for maximizing the secrecy rate of the IR subject to individual harvested energy constraints of the ERs for the case where the ERs can collude to perform joint decoding in an attempt to illicitly decode the secret message to the IR. As a by-product, we also solve the total power minimization problem subject to secrecy rate and energy harvesting constraints. Both scenarios of perfect and imperfect channel state information (CSI) at the transmitter are addressed. For the imperfect CSI case, we study both eavesdroppers' channel covariance-based and worst case-based designs. Using semidefinite relaxation (SDR) techniques, we show that there always exists a rank-one optimal transmit covariance solution for the IR. Furthermore, if the SDR results in a higher rank solution, we propose an efficient algorithm to always construct an equivalent rank-one optimal solution. Computer simulations are carried out to demonstrate the performance of the proposed algorithms.

Highlights

  • P RACTICAL energy-constrained devices are often powered by batteries with limited lifespan

  • Applying semidefinite relaxation (SDR) techniques, we show that there always exists a rank-one optimal transmit covariance solution for the information receiver (IR), i.e., transmit beamforming is optimal for the IR

  • We study the performance of the proposed algorithms in multiple-input singleoutput (MISO) secrecy simultaneous wireless information and power transfer (SWIPT) systems through numerical simulations

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Summary

Introduction

P RACTICAL energy-constrained devices are often powered by batteries with limited lifespan. In battery-limited devices mounted at some inaccessible or difficult-to-access places, replacing or recharging the supplies usually requires high costs and is inconvenient. Practical examples include sensors embedded inside fixed structures, or inside human bodies, or in deadly environments [1]. In contemporary urban areas, there is a huge amount of electromagnetic energy in the environment due to numerous radio and television broadcastings. A more opportunistic as well as greener alternative for powering such devices is to harvest energy from the surroundings if possible. For typical low-power applications such as sensor networks, wearable electronics etc., radio-frequency (RF) signals can be a sustainable new source

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