Energy-efficient joint power control and channel allocation for D2D communication underlaying cellular network

The Device-to-device (D2D) communication technology can significantly improve the efficiency of wireless spectrum resources and expand the communication system’s capacity. In order to enhance the energy efficiency (EE) of D2D communication, a two-stage cross-layer optimization approach in which joint power control and channel allocation is proposed. In this work, the optimization objective is to maximize the total EE of D2D users (DUEs) to enable green D2D communications in cellular networks. The proposed resource allocation problems are NP-hard, which is typically difficult to solve directly. We decouple the EE optimization problem of joint power control and channel allocation into two sub-problems: Power Control and Channel Allocation. First, the Improved Grey Wolf Optimization (IGWO) algorithm is proposed to obtain the optimal transmission power of DUEs and Cellular users (CUEs) in the first phase. Then, the Hungarian Algorithm (HA) is utilized to accomplish optimal channel match for DUEs and CUEs in the second phase. Compared to other alternative algorithms, the simulation results show that the suggested scheme effectively improves the system’s EE.