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Lookup NU author(s): Zheng Chu, Dr Martin JohnstonORCiD, 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.
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
URL: http://dx.doi.org/10.1109/TVT.2015.2499439
DOI: 10.1109/TVT.2015.2499439
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