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Energy Efficiency Optimization for Secure SWIPT System
Chao MENG Gang WANG Bingjian YAN Yongmei LI
Publication
IEICE TRANSACTIONS on Communications
Vol.E103B
No.5
pp.582590 Publication Date: 2020/05/01
Online ISSN: 17451345
DOI: 10.1587/transcom.2019EBP3181
Type of Manuscript: PAPER Category: Wireless Communication Technologies Keyword: artificial noise, simultaneous wireless information and power transfer, physical layer security, energy harvesting, secrecy energy efficiency,
Full Text: PDF(1.4MB)>>
Summary:
This paper investigates the secrecy energy efficiency maximization (SEEM) problem in a simultaneous wireless information and power transfer (SWIPT) system, wherein a legitimate user (LU) exploits the power splitting (PS) scheme for simultaneous information decoding (ID) and energy harvesting (EH). To prevent interference from eavesdroppers on the LU, artificial noise (AN) is incorporated into the confidential signal at the transmitter. We maximize the secrecy energy efficiency (SEE) by joining the power of the confidential signal, the AN power, and the PS ratio, while taking into account the minimum secrecy rate requirement of the LU, the required minimum harvested energy, the allowed maximum radio frequency transmission power, and the PS ratio. The formulated SEEM problem involves nonconvex fractional programming and is generally intractable. Our solution is Lagrangian relaxation method than can transform the original problem into a twolayer optimization problem. The outer layer problem is a single variable optimization problem with a Lagrange multiplier, which can be solved easily. Meanwhile, the inner layer one is fractional programming, which can be transformed into a subtractive form solved using the Dinkelbach method. A closedform solution is derived for the power of the confidential signal. Simulation results verify the efficiency of the proposed SEEM algorithm and prove that ANaided design is an effective method for improving system SEE.

