Achieving Multi-Beam Gain in Intelligent Reflecting Surface Assisted Wireless Energy Transfer

Chi, Qiu,; Wu, Qingqing; Hua, Meng; Guan, Xinrong; Wu, Yuan

doi:10.1109/tvt.2022.3215627

Cited by 3 publications

(1 citation statement)

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“…By adapting each reflecting element in real-time to tune the phase shifts of the impinging signals, an IRS can achieve fine-grained passive beamforming gains, thereby reconfiguring the wireless propagation channels to achieve different desired design objectives [18]. Particularly, it was first revealed in [19] that an IRS is capable of providing an asymptotic squared power gain in terms of the user receive power, which has prompted considerable research to exploit IRSs for enhancing the performance of WIT [20]- [22], WPT [23], both downlink WPT and uplink WIT [24], [25], and SWIPT [26]- [30]. For instance, for an IRS-aided SWIPT system, it was shown in [26] that the operating range of WPT and the corresponding achievable signal-to-interference-plus-noise ratio (SINR)energy region can be significantly enlarged by deploying an IRS in close proximity to the energy receivers.…”

Section: Introductionmentioning

confidence: 99%

Exploiting Intelligent Reflecting Surfaces for Interference Channels with SWIPT

Gao¹,

Wu²,

Chen³

et al. 2023

Preprint

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This paper considers intelligent reflecting surface (IRS)-aided simultaneous wireless information and power transfer (SWIPT) in a multi-user multiple-input single-output (MISO) interference channel (IFC), where multiple transmitters (Txs) serve their corresponding receivers (Rxs) in a shared spectrum with the aid of IRSs. Our goal is to maximize the sum rate of the Rxs by jointly optimizing the transmit covariance matrices at the Txs, the phase shifts at the IRSs, and the resource allocation subject to the individual energy harvesting (EH) constraints at the Rxs. Towards this goal and based on the well-known power splitting (PS) and time switching (TS) receiver structures, we consider three practical transmission schemes, namely the IRS-aided hybrid TS-PS scheme, the IRS-aided time-division multiple access (TDMA) scheme, and the IRS-aided TDMA-D scheme. The latter two schemes differ in whether the Txs employ deterministic energy signals known to all the Rxs. Despite the non-convexity of the three optimization problems corresponding to the three transmission schemes, we develop computationally efficient algorithms to address them suboptimally, respectively, by capitalizing on the techniques of alternating optimization (AO) and successive convex approximation (SCA). Moreover, we conceive feasibility checking methods for these problems, based on which the initial points for the proposed algorithms are constructed. Simulation results demonstrate that our proposed IRS-aided schemes significantly outperform their counterparts without IRSs in terms of sum rate and maximum EH requirements that can be satisfied under various setups. In addition, the IRS-aided hybrid TS-PS scheme generally achieves the best sum rate performance among the three proposed IRS-aided schemes, and if not, increasing the number of IRS elements can always accomplish it.

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