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This paper investigates multiuser multi-input single-output (MISO) downlinkcommunications assisted by a self-sustainable intelligent reflection surface(IRS), which can harvest power from the received signals. We study the jointdesign of the beamformer at an access point (AP) and the phase shifts and thepower harvesting schedule at an IRS for maximizing the system sum-rate. Thedesign is formulated as a non-convex optimization problem taking into accountthe capability of IRS elements to harvest wireless power for realizingself-sustainability. Subsequently, we propose a computationally-efficientalternating algorithm to obtain a suboptimal solution to the design problem.Our simulation results unveil that: 1) there is a non-trivial trade-off betweenthe system sum-rate and self-sustainability in IRS-assisted systems; 2) theperformance gain achieved by the proposed scheme is improved with an increasingnumber of IRS elements; 3) an IRS equipped with small bit-resolution discretephase shifters is sufficient to achieve a considerable system sum-rate of anideal case with continuous phase shifts.

Sum-Rate Maximization for Multiuser MISO Downlink Systems with Self-sustainable IRS