  The problem of simultaneously optimizing the information rate and the
harvested power in a reconfigurable intelligent surface (RIS)-aided
multiple-input single-output downlink wireless network with simultaneous
wireless information and power transfer (SWIPT) is addressed. The beamforming
vectors, RIS reflection coefficients, and power split ratios are jointly
optimized subject to maximum power constraints, minimum harvested power
constraints, and realistic constraints on the RIS reflection coefficients. A
practical algorithm is developed through an interplay of alternating
optimization, sequential optimization, and pricing-based methods. Numerical
results show that the deployment of RISs can significantly improve the
information rate and the amount of harvested power.
