  Network slicing is an emerging technique for providing resources to diverse
wireless services with heterogeneous quality-of-service needs. However, beyond
satisfying end-to-end requirements of network users, network slicing needs to
also provide isolation between slices so as to prevent one slice's faults and
congestion from affecting other slices. In this paper, the problem of network
slicing is studied in the context of a wireless system having a time-varying
number of users that require two types of slices: reliable low latency (RLL)
and self-managed (capacity limited) slices. To address this problem, a novel
control framework for stochastic optimization is proposed based on the Lyapunov
drift-plus-penalty method. This new framework enables the system to minimize
power, maintain slice isolation, and provide reliable and low latency
end-to-end communication for RLL slices. Simulation results show that the
proposed approach can maintain the system's reliability while providing
effective slice isolation in the event of sudden changes in the network
environment.
