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Codes of paper: AI-based Resource Allocation in End-to-End Network Slicing under Demand and CSI Uncertainties

Abstract—Network slicing (NwS) is one of the main technologies

in the h-generation of mobile communication and

beyond (5G+). One of the important challenges in the NwS

is information uncertainty which mainly involves demand

and channel state information (CSI). Demand uncertainty is

divided into three types: number of users requests, amount

of bandwidth, and requested virtual network functions workloads.

Moreover, the CSI uncertainty is modeled by three

methods: worst-case, probabilistic, and hybrid. In this paper,

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