Tung V. Doan

May 10, 2024 | fis.tu-dresden.de | Tung V. Doan |Technische Universität Dresden |Frank H.P. Fitzek |Giang Nguyen

Network Functions (NFs) in edge clouds are required to provide scalability, fault tolerance, and mobility support. They all require maintaining NF states (i.e., processing results), e.g., for recovery, especially for stateful NFs like firewalls. Even though current solutions provide an alternative to storing states in memory, their design can support only a single requirement, either fault tolerance or scaling.

May 10, 2024 | fis.tu-dresden.de | Technische Universität Dresden |Osel Lhamo |Tung V. Doan |Frank H.P. Fitzek

Emerging use cases, such as Tactile Internet, typically demand high reliability and low-latency communication. To fulfill these stringent requirements, 5G networks employ re-transmission 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.

Nov 9, 2023 | fis.tu-dresden.de | TUD Dresden |Osel Lhamo |Deutsche Telekom Chair |Tung V. Doan

Retransmission at the Radio Link Control (RLC) layer is the de-facto technique to overcome packet loss at the cost of increased transmission delay in 5G systems. Softwarization of the 5G core and its adoption of cloud-native architecture allows for bringing in more advanced error correction techniques, such as Random Linear Network Coding (RLNC), into 5G systems. RLNC reduces delay and packet loss by proactively generating and sending combinations of original packets at the cost of more computing.

Nov 9, 2023 | fis.tu-dresden.de | Deutsche Telekom Chair |Tung V. Doan |Vu Nguyen |Frank H.P. Fitzek

This paper focuses on integrating Data Plane Development Kit (DPDK) and Service Function Chaining (SFC) on the OpenStack cloud OS to support network coding, enabling the OpenStack instance to function as a virtualized network coding service.

Nov 9, 2023 | fis.tu-dresden.de | Tung V. Doan |Frank H.P. Fitzek |Deutsche Telekom Chair |Giang Nguyen

Autonomous driving is widely considered as a major use case in 5G and beyond networks. Without human intervention, connected cars have been considered as typical autonomous vehicles that account for various intelligent controls. Specifically, path planning is an essential technology that allows connected cars to search for driving space. We propose to leverage in-network computing and demonstrate its potential to execute path-planning for connected cars.