Robust Transmit Beamforming with Artificial Redundant Signals for Secure SWIPT Systems Under Non-linear EH Model

Yang Lu, Ke Xiong, Pingyi Fan, Zhangdui Zhong, Khaled Letaief

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

This paper investigates the secure transmit design for simultaneous wireless information and power transfer (SWIPT) system under the non-linear energy harvesting (EH) model, where a transmitter sends confidential information and transfers energy to multiple information receivers (IRs) and EH receivers (ERs) with existence of multiple eavesdroppers (Eves). To prevent the confidential information leakage, multiple artificial redundant signals (MARSs) are embedded in the transmit signals. The goal is to minimize the total transmit power by jointly optimizing transmit beamforming vectors and the covariance matrixes of MARSs such that the minimal information rate and EH requirements at IRs and ERs are guaranteed while making the received signal-to-Interference ratio (SINR) at ERs and Eves lower than their information decoding thresholds. Both the non-robust and the robust designs are studied. For the non-robust design, the optimal solution is derived. For the robust design, an approximate optimal solution is obtained by using Gaussian randomization procedure. Simulation results show that compared with traditional non-MARS aided beamforming design, our proposed design is superior in terms of the total required transmit power. It also shows that employing the non-linear EH model can avoid false output power at the ERs and/or save power at the transmitter.

Original languageEnglish
JournalIEEE Transactions on Wireless Communications
DOIs
Publication statusAccepted/In press - 12 Jan 2018

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Keywords

  • Array signal processing
  • artificial noise
  • artificial redundant signals
  • Erbium
  • Integrated circuit modeling
  • non-linear energy harvesting model
  • Receivers
  • Robustness
  • Secure transmission
  • SWIPT
  • Transmitters
  • Wireless communication

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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