This letter investigates the resource allocation problem in device-to-device (D2D) communications underlaying a non-orthogonal multiple access (NOMA)-based cellular network, where both cellular users and D2D users harvest energy from the hybrid access point in the downlink and transmit information in the uplink. We propose a low-complexity iterative algorithm to maximize the energy efficiency of the D2D pair while guaranteeing the quality of service of cellular users. In each iteration, by analyzing the Karush-Kuhn-Tucker conditions, the globally optimal solution can be derived in closed form despite the nonconvexity. Simulation results validate the superiority of the proposed scheme over the existing schemes.

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