Abstract

In this paper, we investigate a cooperative communication network, where simultaneous wireless information and power transfer (SWIPT) is employed by a D2D transmitter (DT). In this network, the DT consumes the energy harvested by a power splitting (PS) strategy to assist the information transmission from a base station (BS) to a cell-edge cellular user (CU). In return, the DT can access the cellular spectrum and transmit its data to a D2D receiver (DR). To incorporate user fairness in the system performance, we formulate a weighted sum rate maximization problem by jointly optimizing the time of each transmission phase, the power allocation at the DT for relaying information and performing the D2D communication, and the PS control at the DT for energy harvesting and information decoding. To deal with the formulated highly non-convex problem, we propose a two-stage optimization algorithm that involves the one-dimensional searching method and the Lagrange dual method, and the semi-closed-form optimal resource allocation expressions are derived. Simulation results demonstrate the effectiveness of the proposed scheme for improving the weighted sum rate of the network.

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