Measurement Study of Programmable Network Coding in Cloud-native 5G and Beyond Networks
Osel Lhamo, Tung V. Doan, Elif Tasdemir, Mahdi Attawna, Giang T., Nguyen, Patrick Seeling, Martin Reisslein, Frank H.P. Fitzek

TL;DR
This paper presents FlexNC and RecNet, innovative network coding solutions implemented on real hardware for 5G networks, demonstrating improved adaptability and reduced packet loss in diverse application scenarios.
Contribution
It introduces FlexNC and RecNet, novel programmable network coding methods that enhance flexibility and performance in 5G networks through real-world implementation.
Findings
FlexNC adapts to latency and packet loss requirements.
RecNet minimizes packet loss with minimal delay increase.
Implementation on OpenAirInterface confirms practical benefits.
Abstract
Emerging 5G/6G use cases span various industries, necessitating flexible solutions that leverage emerging technologies to meet diverse and stringent application requirements under changing network conditions. The standard 5G RAN solution, retransmission, reduces packet loss but can increase transmission delay in the process. Random Linear Network Coding (RLNC) offers an alternative by proactively sending combinations of original packets, thus reducing both delay and packet loss. Current research often only simulates the integration of RLNC in 5G while we implement and evaluate our approach on real commercially available hardware in a real-world deployment. We introduce Flexible Network Coding (FlexNC), which enables the flexible fusion of several RLNC protocols by incorporating a forwarder with multiple RLNC nodes. Network operators can configure FlexNC based on network conditions and…
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Taxonomy
TopicsCooperative Communication and Network Coding · Advanced Wireless Communication Technologies · Software-Defined Networks and 5G
