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The emerging 5G technology needs to support simultaneously runningincompatible service types on a common infrastructure. Network slicing is asolution that corresponds a slice of the network to each service type. Ensuringthat user activity in one slice does not affect other slices, i.e., inter-sliceisolation, is a key requirement of slicing. Since due to interference andchannel conditions, wireless link quality is unpredictable and variable,providing isolation in radio access network (RAN) is cumbersome. In thistechnical report, we consider multi-cell RAN slicing where the coupledinterference between cells results in dynamic behavior for slices. We propose aqueueing theoretic-based model to analyze interference-coupled multi-cell RANslicing. To this end, we map our scenario on a suitable state-dependentqueueing network and propose an iterative algorithm to obtain approximately thenetwork steady-state probability distribution and derive average delay andthroughput. To quantify isolation in slices, we define some new key performanceindicators (KPIs). Finally, we propose and analyze an interference-awarechannel allocation policy that avoids use of overlapped frequency channels foras much as possible. Numerical results demonstrate the accuracy of our proposedmodel and the efficacy of the interference-aware policy in improvingisolation-based KPIs compared to random allocation policy.

Technical Report : Analytical Modeling and Improvement of Interference-Coupled RAN Slicing