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Scheduling Optimization of Heterogeneous Services by Resolving Conflicts
In this paper, we investigate near optimal, low complexity scheduling of radio resources for ultra-reliable low-latency communications (URLLC) when coexisting with enhanced mobile broadband (eMBB) services.
Integrated Methodology to Cognitive Network \& Slice Management in Virtualized 5G Networks
To this end, purpose-specific Machine Learning (ML) models can be used to manage and control physical as well as virtual network resources in a way that is fully compliant to slice Service Level Agreements (SLAs), while also boosting the revenue of the underlying physical network operator(s).
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