Predictive Hierarchical Orchestration for Multi-Domain Network Slicing

Abstract

Network slicing enables heterogeneous services to share a common 5G infrastructure, but reactive slice elasticity often scales resources only after service degradation has occurred. We propose predictive hierarchical orchestration for multi-domain network slicing, combining short term workload prediction, SLA feedback, and coordinated scaling across RAN, core, and transport domains. Preliminary numerical simulations with synthetic multi-slice workloads show that, in a mixed scenario, the proposed controller reduces the SLA violation rate from 56.7% to 5.0% compared with reactive-only scaling, while reducing reaction time from 4.86 to 1.50 control intervals. These initial results suggest that predictive orchestration can mitigate delayed adaptation, at the cost of controlled overprovisioning.