Implementation of 5G network slicing using open source software

Name: Pisit Vanichchanunt

Organization : King Mongkut's University of Technology North Bangkok. Faculty of Engineering

Email : pisit.v@eng.kmutnb.ac.th

Name: Onpimon Ritruechai

Organization : King Mongkut's University of Technology North Bangkok. Faculty of Engineering

Email : onpimon.ritrc@gmail.com

Name: Navy Wuttiananchai

Organization : King Mongkut's University of Technology North Bangkok. Faculty of Engineering

Email : navy.wutti@gmail.com

Name: Peeraporn Thossaporn

Organization : King Mongkut's University of Technology North Bangkok. Faculty of Engineering

Email : thxsprn@gmail.com

Name: Lunchakorn Wuttisittikulkij

Organization : Chulalongkorn University. Faculty of Engineering

Email : lunchakorn.w@chula.ac.th

Name: Sukritta Paripurana

Organization : King Mongkut's University of Technology North Bangkok. Faculty of Engineering

Email : sukritta.p@eng.kmutnb.ac.th

keyword: ์Network function virtualization

LCSH: Wireless communication systems

; Network slicing

LCSH: 5G mobile communication systems

; Orchestration

Abstract: In modern communications, network slicing is essential network operation for creating and managing an independent logical network which meets the requirement of a service. Network slicing enables available network resources to be managed and allocated efficiently and dynamically according to varying demands of users. This paper aims to design and implement 5G network slicing using open source software in order to serve very low latency services. The implementation requires the integration of orchestration, network function virtualization, and software defined network technologies to deploy necessary network functions and to manage the life cycles of network slices. Open source software tools such as Open5GS, Open Source MANO, OpenStack, OpenDaylight, and srsRAN are selected for implementing 5G core, orchestration and management functions, cloud computing platform, software defined network, and radio access network respectively since they offer compatibility in the software integration as well as allow the prototype to be created in a timely and economical manner. To obtain very low latency, User Plane Function and edge computing are implemented based on the latency of internal connections. In the experiment, different scenarios of network slices are deployed and tested to measure the key performance indices such as a delay, download speed and upload speed. The results show that the implemented network slices can offer very low latency at the expense of available bandwidth reduction due to the communication for orchestration and management in the hardware. However, this can be improved by using hardware with higher performance

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2024

Modified: 2025-01-15

Issued: 2025-01-15

บทความ/Article

application/pdf

BibliograpyCitation : In Rajamangala University of Technology Krungthep. 12th International Electrical Engineering Congress (iEECON 2024) (pp.65-70). Bangkok : Rajamangala University of Technology Krungthep

eng

©copyrights King Mongkut's University of Technology North Bangkok

ลำดับที่.	ชื่อแฟ้มข้อมูล	ขนาดแฟ้มข้อมูล	จำนวนเข้าถึง	วัน-เวลาเข้าถึงล่าสุด
1	iEECON 2024pp.65-70.pdf	5.03 MB

ใช้เวลา

0.038142 วินาที