GA Based User Matching with Optimal Power Allocation in D2D Underlaying Network

With Device to Device (D2D) user equipment (DUE) sharing the same resources with traditional cellular user equipment (CUE), intra-cell interference is becoming a challenging issue nowadays in D2D underlaying network. However, due to the lack of convexity, globally optimal resource sharing scheme is generally unattainable. In this paper, we propose a genetic algorithm (GA) based user matching scheme (GAM) with optimal power allocation (OPA) to achieve the multi-dimension optimization. Firstly, we demonstrate that the optimal power allocation between DUE and CUE can be obtained by searching several finite solution sets in the feasible region boundries. Secondly, genetic algorithm is applied to obtain the near-optimal user matching in the whole network scope. Simulation results show that the GA based scheme can achieve 30Mbps system throughput gain comparing to the traditional greedy searching, while with a limited complexity increase.