Energy-Efficient Scheduling and Power Allocation for Energy Harvesting-Based D2D Communication

Abstract

Energy Harvesting (EH)-based Device-to-Device (D2D) communication brings some challenges in resources management due to the joint influence of the volatility of available energy and the interference between cellular and D2D users. In this paper, we focus on improving the energy efficiency of EH-based D2D communication for the scenario where multiple EH- based D2D communication links multiplex the uplink channel resource of one cellular user (CU). Considering the variation of transmission requests based on available energy in different time slots, a short-term sum energy efficiency maximization problem for EH-based D2D communication is formulated to integrate the transmission scheduling and power allocation while maintaining a given transmission rate requirement for both CU and D2D links. The modeled problem is a non-convex mixed integer non- linear programming (MINLP) problem. In view of the NP-hardness property of the optimization problem, we develop a two-layer convex approximation iteration algorithm (CAIA) to obtain a feasible suboptimal solution. Finally, numerical simulation results indicate the performance of CAIA in aspects of average energy efficiency and transmission rate of D2D communication.