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The low efficiency of far-field wireless power transfer (WPT) limits thefundamental rate-energy (R-E) performance trade-off of the simultaneouswireless information and power transfer (SWIPT) system. To address thischallenge, we propose in this letter a new SWIPT system aided by the emergingintelligent reflecting surface (IRS) technology. By leveraging massive low-costpassive elements that are able to reflect the signals with adjustable phaseshifts, IRS achieve a high passive beamforming gain, which is appealing fordrastically enhancing the WPT efficiency and thereby the R-E trade-off of SWIPTsystems. We consider an IRS being deployed to assist a multi-antenna accesspoint (AP) to serve multiple information decoding receivers (IDRs) and energyharvesting receivers (EHRs). We aim to maximize the weighted sum-power receivedby EHRs via jointly optimizing the transmit precoders at the AP and reflectphase shifts at the IRS, subject to the individualsignal-to-interference-plus-noise ratio (SINR) constraints for IDRs. Since thisproblem is non-convex, we propose efficient algorithms to obtain suboptimalsolutions for it. In particular, we prove that it is sufficient to sendinformation signals only at the AP to serve both IDRs and EHRs regardless oftheir channel realizations. Moreover, simulation results show significantperformance gains achieved by our proposed designs over benchmark schemes.

Weighted Sum Power Maximization for Intelligent Reflecting Surface Aided SWIPT