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Simultaneous Wireless Information Power Transfer for MISO Secrecy Channel

Lookup NU author(s): Zheng Chu, Dr Martin Johnston, Dr Stephane Le Goff



This is the authors' accepted manuscript of an article that has been published in its final definitive form by IEEE, 2016.

For re-use rights please refer to the publisher's terms and conditions.


This paper investigates simultaneous wireless information and power transfer (SWIPT) for a multiple-input-single-output (MISO) secrecy channel. First, transmit beamforming without artificial noise (AN) is designed to achieve the secrecy rate maximization problem subject to the transmit power and the energy harvesting (EH) constraints. This problem is not convex, but this can be solved by applying a bisection search to a sequence of the associated power minimization problems, each of which can be solved by using a novel relaxation approach. Moreover, we extend our proposed algorithms to the robust case by incorporating channel uncertainties. Then, transmit beamforming with AN is investigated for the secrecy rate maximization problem, where two relaxation approaches are presented, i.e., a two-level optimization algorithm and a successive convex approximation (SCA), to solve the secrecy rate maximization problem. In addition, tightness analyses of rank relaxation are provided to show that the optimal transmit covariance matrix exactly returns rank one. Simulation results are provided to validate the performance of the proposed algorithms.

Publication metadata

Author(s): Chu Z, Zhu ZY, Johnston M, Le Goff SY

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Vehicular Technology

Year: 2016

Volume: 65

Issue: 9

Pages: 6913-6925

Print publication date: 01/09/2016

Online publication date: 01/11/2015

Acceptance date: 26/10/2015

Date deposited: 08/11/2016

ISSN (print): 0018-9545

ISSN (electronic): 1939-9359

Publisher: IEEE


DOI: 10.1109/TVT.2015.2499439


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