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Secrecy Rate Maximization for Intelligent Reflecting Surface Aided SWIPT Systems

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Document pages: 6 pages

Abstract: Simultaneous wireless information and power transfer (SWIPT) and intelligentreflecting surface (IRS) are two promising techniques for providing enhancedwireless communication capability and sustainable energy supply toenergy-constrained wireless devices. Moreover, the combination of the IRS andthe SWIPT can create the "one plus one greater than two " effect. However, dueto the broadcast nature of wireless media, the IRS-aided SWIPT systems arevulnerable to eavesdropping. In this paper, we study the security issue of theIRS-aided SWIPT systems. The objective is to maximize the secrecy rate byjointly designing the transmit beamforming and artificial noise (AN) covariancematrix at a base station (BS) and reflective beamforming at an IRS, undertransmit power constraint at the BS and energy harvesting (EH) constraints atmultiple energy receivers. To tackle the formulated non-convex problem, wefirst employ an alternating optimization (AO) algorithm to decouple thecoupling variables. Then, reflective beamforming, transmit beamforming and ANcovariance matrix can be optimized by using a penalty-based algorithm andsemidefinite relaxation (SDR) method, respectively. Simulation resultsdemonstrate the effectiveness of the proposed scheme over baseline schemes.

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