Energy-efficient joint power control and resource allocation for D2D-aided heterogeneous networks.

In this paper, we propose a priority based joint power control and resource allocation algorithm for enhancing the energy efficiency (EE) of device-to-device (D2D) links through enabling the successive interference cancellation (SIC) capabilities at the base stations (BSs). In the power control functional module, the EE-maximization model corresponding to each individual D2D link can be transformed into its equivalent model, in which the objective function is demonstrated to be a concave function of the transmitting power of D2D transmitter and can thus be optimized by implementing joint Bisection and Dinkelbach iterative solution. Inspired by the thought of greedy algorithm, in the radio resource allocation functional module, we propose a priority based resource allocation approach for further reducing the computational complexity of our algorithm. Numerical results show that the proposed approach can substantially improve the EE of the D2D links with rapid converge speed.