Author:
Maganti Madhava Rao,Rao Kurra Rajashekar
Abstract
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.
Publisher
Engineering, Technology & Applied Science Research
Reference15 articles.
1. D. Dietrich, C. Papagianni, P. Papadimitriou, and J. S. Baras, "Network function placement on virtualized cellular cores," in 2017 9th International Conference on Communication Systems and Networks (COMSNETS), Bengaluru, India, Jan. 2017, pp. 259–266.
2. M. Taheribakhsh, A. Jafari, M. M. Peiro, and N. Kazemifard, "5G Implementation: Major Issues and Challenges," in 2020 25th International Computer Conference, Computer Society of Iran (CSICC), Tehran, Iran, Jan. 2020, pp. 1–5.
3. Q. Li, G. Wu, A. Papathanassiou, and U. Mukherjee, "An end-to-end network slicing framework for 5G wireless communication systems." arXiv, Aug. 01, 2016.
4. Network Slicing for 5G Networks and Services. Nov 2016: 5G Americas.
5. X. Liu and G. Zhang, "Joint Optimization Offloading and Resource Allocation in Vehicular Edge Cloud Computing Networks with Delay Constraints," in 2020 IEEE International Conference on Progress in Informatics and Computing (PIC), Shanghai, China, Sep. 2020, pp. 363–368.