Demo: Towards Reliable Cloud-native 5G and Beyond Networks using In-Network Computing

被引:0
|
作者
Attawna, Mahdi [1 ]
Lhamo, Osel [1 ]
Doan, Tung V. [2 ]
Fitzek, Frank H. P. [1 ,3 ]
Nguyen, Giang T. [2 ,3 ]
机构
[1] Tech Univ Dresden, Deutsch Telekom Chair Commun Networks, Dresden, Germany
[2] Tech Univ Dresden, Hapt Commun Syst, Dresden, Germany
[3] Ctr Tactile Internet Human In The Loop CeTI, Dresden, Germany
来源
PROCEEDINGS OF 2024 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM, NOMS 2024 | 2024年
关键词
Tactile Internet; Random Linear Network coding; 5G; Cloud-Native; Reliability; Low-Latency;
D O I
10.1109/NOMS59830.2024.10575011
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Emerging use cases, such as Tactile Internet, typically demand high reliability and low-latency communication. To fulfill these stringent requirements, 5G networks employ retransmission within the Radio Access Network (RAN) in the event of packet loss, but at the expense of increased latency. An alternative approach to address this challenge involves leveraging Random Linear Network Coding (RLNC) to recover lost packets, thereby eliminating the necessity for retransmission within the RAN. We demonstrate the ability of in-network computing to run RLNC, particularly with the use of RLNC recoder, to enhance reliability and reduce latency within the network.
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页数:3
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