A Novel Genetic Algorithm for Resource Allocation Optimization in Device-to-Device Communications

摘要

In this study, the resource blocks (RB) are allocated to user equipment (UE) according to the evolutional algorithms for long term evolution (LTE) systems. Genetic algorithm (GA) is one of the evolutionary algorithms, based on Darwinian models of natural selection and evolution. Therefore, we propose a novel GA for RB allocation to enhance the throughput of UEs and improve the system capacity performance. Simulation results show that the proposed GA with 100 populations, in 200 generations can converge to suboptimal solutions. Therefore, with comparing with the particle swarm optimization (PSO) algorithm the proposed GA can improve system capacity performance with 1.4 UEs.