4.7 Article

Secure Beamforming for MIMO Broadcasting With Wireless Information and Power Transfer

Journal

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume 14, Issue 5, Pages 2841-2853

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2015.2395414

Keywords

Beamforming; wireless information and power transfer (WIPT); secrecy rate maximization; semidefinite relaxation; block coordinate descent

Funding

  1. National Nature Science Foundation of China [61302076, 61374020, 61473197, 61272311]
  2. Key Project of Chinese Ministry of Education [212066]
  3. Zhejiang Provincial Natural Science Foundation of China [LQ13F010008, LY12F02042]
  4. Science Foundation of Zhejiang Sci-Tech University (ZSTU) [1203805Y]
  5. State Key Laboratory of Integrated Services Networks, Xidian University [ISN14-08]

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This paper considers a basic MIMO information-energy broadcast system, where a multi-antenna transmitter transmits information and energy simultaneously to a multi-antenna information receiver and a dual-functional multi-antenna energy receiver which is also capable of decoding information. Due to the open nature of wireless medium and the dual purpose of information and energy transmission, secure information transmission while ensuring efficient energy harvesting is a critical issue for such a broadcast system. Providing that physical layer security techniques are adopted for secure transmission, we study beamforming design to maximize the achievable secrecy rate subject to a total power constraint and an energy harvesting constraint. First, based on semidefinite relaxation, we propose global optimal solutions to the secrecy rate maximization (SRM) problem in the single-stream case and a specific full-stream case. Then, we propose inexact block coordinate descent (IBCD) algorithm to tackle the SRM problem of general case with arbitrary number of streams. We prove that the IBCD algorithm can monotonically converge to a Karush-Kuhn-Tucker (KKT) solution to the SRM problem. Furthermore, we extend the IBCD algorithm to the joint beamforming and artificial noise design problem. Finally, simulations are performed to validate the effectiveness of the proposed beamforming algorithms.

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