Adaptive Femtocell Accessing Control in A 5g Heterogeneous Network

Abstract

Heterogeneous network is considered a powerful key to increase network capacity and provide high quality of service (QoS) for network users. However, in a heterogeneous network composed of femtocells and a macrocell, Macro users in poor signal places prefer to access to the nearest femtocell. Thus, these accessing will have a bad effect on femto users. Therefore, in this paper, first we propose an adaptive femtocell access system model to control the resource allocation between femto users (FUs) and macro users (MUs). Using the proposed adaptive system model, the most appropriate femtocell access mode will be determined. Second, a borrowing technique is proposed to be an arm of safety for femtocells that suffer from high traffic density. Simulation results show the adaptation of femtocell access modes with a varying network density to guarantee high QoS for FUs and help suffered MUs to get services without affecting the demands of FUs. Also; Simulation results show that the overall network performance can be improved using the proposed borrowing technique model as the number of blocking MUs can be decreased from 93 MU to zero MU. Also results show that, the proposed model will outperform the system performance by 52% with respect to the closed system model.