Performance of Resource Allocation for Downlink Non-Orthogonal Multiple Access Systems in Tri-Sectorial Cell

Non-orthogonal multiple access (NOMA) has recently emerged as a promising candidate for new generation networks. However, the latter face challenges in terms of supporting high data traffic with different Quality of Service (QoS) requirements. This letter proposes a resource allocation in downlink 5G tri-sectorial cell for NOMA systems using Proportional Fair Scheduling (PFS) algorithm, in order to improve network performance in terms of throughput, fairness between users and energy efficiency. Specifically, we study the channel state conditions of users to help those in a critical locations, in order to ensure an optimal distribution of resources among users whatever their position and the load of sectors in the cell. Performances were analyzed with increased number of users in the cell area. Simulation results and discussions on the performance of approach proposed are provided.