This paper studies a two-link interference channel (IFC) with simultaneous wireless information and power transfer (SWIPT). We aim to maximize the minimum signal to interference plus noise ratio (SINR) of the two links by jointly designing the power allocations at the transmitters and the power splitting (PS) ratios at the receivers under both the individual minimum energy harvesting (EH) constraints and maximum transmit power constraints. We first explore the properties of this non-convex problem and its optimal solution, and then design a centralized algorithm to find the optimal solution. We further propose a distributed algorithm for practical systems, where the transmit powers and PS ratios converge to the optimal solution through an iterative update process. Numerical results show that the proposed algorithms provide an improved trade-off in the achievable (max-min) SINR versus harvested energy as compared with other heuristic designs.
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