Digital-Twin-Driven End-to-End Network Slicing Toward 6G
Mahnoor Yaqoob, Ramona Trestian, Mallik Tatipamula, Huan X. Nguyen
Abstract
The diverse use cases requirements and strict expectations of latency on shared infrastructure, from future networks, calls for networking paradigms that can provide efficiency and flexibility. Network slicing is a network paradigm introduced with 5G, which is a key in realizing diverse service requirements and meeting expectations of future 6G networks. A Network Digital Twin (NDT) model can benefit the management and orchestration of network slicing life cycle and provide a clear visual representation of the physical entities of a network slicing model while enabling experimenting with different resource allocation schemes without actually affecting the physical network. A NDT bridges the gap between physical world and digital world by having constant bi-directional communication. Hence, in this article we make a case for NDT as a key enabler of network slicing in 6G network while integrating Artificial Intelligence (AI) based network slicing strategy to enable end-to-end (E2E) Quality of Service provisioning.