Particle swarm optimization based power allocation for D2D underlaying cellular networks

Abstract

In this paper, we study the power allocation problem for device-to-device (D2D) underlaying cellular networks. In order to manage interference and improve the throughput of the cellular network, the particle swarm optimization (PSO) based power allocation algorithm is proposed. The main idea of the algorithm is to allocate the transmit powers of users efficiently so as to maximize the overall throughput of cellular network while satisfying the minimum rate requirement of each user. Simulation results demonstrate the efficiency of D2D communication in improving the network throughput, and the proposed PSO-based power allocation algorithm outperforms the fixed and random power allocation algorithms.