A Cybertwin-Enabled Multipath Transmission Scheme in Cloud Native Networks
Zhiyong Zeng, Meng Qin, Dandan Liang · IEEE Transactions on Mobile Computing · 2025
To address issues arising from the independence of the radio access network, the IP bearer network, and the data center network, a Cybertwin-based cloud native network (CCNN) is proposed. However, due to diverse application requirements and user demands, providing individualized transmission services that meet these requirements within CCNN remains a major challenge. This paper proposes a Cybertwin-enabled multipath transmission scheme (CMTS) to provide personalized quality-of-service (QoS)-guaranteed transmission services by dynamically creating network paths tailored to users’ demands. Specifically, by introducing Cybertwin, CMTS allows separate and dynamic scheduling of service and access network resources from different providers, decouples users from network providers, and enables more flexible use of heterogeneous network resources. Moreover, CMTS can make resource scheduling decisions on demand by leveraging the user’s personal information held by Cybertwin. To fully exploit the potential of multiple paths, we formulate network resource planning as an optimization problem aimed at minimizing link differences and propose a heuristic method for determining optimal policies. Finally, we present the first implementation of Cybertwin in CCNN, validate CMTS in both emulated and semi-physical environments, and conduct thorough evaluations with benchmarks. The results show that CMTS can deliver a personalized, QoS-guaranteed transmission service while achieving efficient resource utilization.