Virtualized Allocation Performance Analysis in 5G Two-Tier Cellular Networks

Enhancement of quality of services (QoS) parameters is a challenging requirement in the Fifth Generation (5G) networks. Delay sensitive applications such as voice over internet protocol, online gaming, and live video are easily affected especially in high data traffic with limited available resources. Moreover; virtualization in standard long term evolution (LTE) systems is considered as an integral promising solution in the next generation networking architecture. In this paper, we aim to enhance the delay performance of such applications by utilizing the extra resources available in two-tier cellular network architecture with macro-and micro-cells. Virtualization is considered by allowing users belonging to the macro-cell to be allocated resources of the micro-cell when located in the micro-cell range. The average delays for various traffic types are evaluated to verify the framework's performance effectiveness before and after resources sharing scenario. Simulation results show that the proposed framework considerably reduces UE's average delay when compared with the non-sharing scheme.