Enhancing 5G Core with Multi-Access Edge Computing

Ho Cheng Lee, Fuchun Joseph Lin, Jyh Cheng Chen, Chien Chen, Patrick Wang

研究成果: Conference contribution同行評審

摘要

This research employs NYCU-developed open source 5G core network free5GC and Intel open source edge computing platform OpenNESS to build a 5G private network. An online multi-person chorus application is then deployed on the edge platform to (1) achieve High Reliability and Low Latency Communication (URLLC) requirements, and (2) improve the backhaul bandwidth occupancy rate from the edge to the core network. In addition, this research implements the traffic influence function proposed in the 3GPP 5G standards, which can dynamically change traffic rules of the 5G core during execution, directing specific traffic to the edge applications in order to improve the performance of private networks. Finally, to verify the effectiveness of this schema, this research uses the example application deployed to compare the performance of the system equipped with edge computing with that without edge platform. Our analysis is done with both a physical RAN and the UERANSIM simulator.

原文English
主出版物標題32nd Wireless and Optical Communications Conference, WOCC 2023
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9798350337150
DOIs
出版狀態Published - 2023
事件32nd Wireless and Optical Communications Conference, WOCC 2023 - Newark, United States
持續時間: 5 5月 20236 5月 2023

出版系列

名字32nd Wireless and Optical Communications Conference, WOCC 2023

Conference

Conference32nd Wireless and Optical Communications Conference, WOCC 2023
國家/地區United States
城市Newark
期間5/05/236/05/23

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