Enhancing 5G Core Network Performance through Optimal Network Fragmentation and Resource Allocation.

Autor: Maganti, Madhava Rao, Rao, Kurra Rajashekar
Předmět:
Zdroj: Engineering, Technology & Applied Science Research; Jun2024, Vol. 14 Issue 3, p14588-14593, 6p
Abstrakt: The rise of 5G technology has brought with it a surge in diverse services with demanding and varying requirements. Network fragmentation has emerged as a critical technique to address this challenge, enabling the creation of virtual network segments on a shared infrastructure, allowing for efficient resource utilization and improved performance. This paper investigates the potential of network fragmentation, combined with optimized resource allocation, to enhance the performance of 5G core networks. A novel framework that integrates these two techniques is proposed. The former takes into account factors, such as network traffic patterns, service requirements, and resource availability. The framework aims to optimize network performance metrics, namely throughput, latency, and resource utilization. The experimental results demonstrate the effectiveness of the proposed framework, showcasing a significant improvement in overall network performance, paving thus the way for efficient and robust 5G service delivery. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index