5G powered public network with QoS optimized device to device communication

Abstract

This project investigates D2D communication in SG public networks, focusing on identifying the optimal user equipment (UE) density for efficient resource utilization. We employ the OMNET++ simulation framework to analyze the impact of UE count (8, 100, 500, and 1000) on key performance parameters like latency, throughput, jitter, and packet loss. Within OMNET++, we first develop a Network Description (NED) file to define the network components and their interactions. Subsequently, an initialization script configures the simulation environment, specifying parameters like UE density, mobility and network topology. Through graphical analysis of the simulation results, we determine the critical UE density threshold below which traditional cellular communication outperforms D2D communication in terms of QoS. Our findings establish this threshold, providing crucial insights for network design and resource allocation strategies in dense user environments. By identifying the crossover point, network operators can optimize resource allocation to ensure efficient communication under varying user densities. Our investigation into D2D communication within a 5G public network environment revealed significant performance improvements compared to traditional cellular communication across key QoS parameters like latency, throughput, jitter, and packet loss. This finding held true for a range of user equipment (UE) densities, suggesting D2D communication's potential for enhancing network performance in scenarios with a high concentration of users. However, it's crucial to acknowledge the existence of a critical UE density threshold. Our results indicate that beyond this threshold, traditional cellular communication offer better performance. This highlights the importance of considering network density when implementing D2D communication.