Abstract:
Network slices are counted as key technology enablers to provide tailored services and isolation for different
Fifth Generation (5G) cellular network application instances.
A network slice is an independent end-to-end logical network
over a shared physical substrate network, capable of providing
a specific set of negotiated services to the customers, quite
analogous to virtual machines offered in the domain of cloud
computing. In this paper, we perform a systematic study of
allocation and dynamic on-demand provisioning of network
resources for the slices. The core parameters of Quality of
Experience (QoE) to end-user systems, Network performance,
and Operating efficiency are carefully applied while placing
network virtual functions and determining the nodes, links,
and resources for assignment to these slices. Network slices
are expected to provide end-to-end capabilities while providing
customized offerings. Slices can be further divided into various
categories such as RAN, Transport and Core network slices.
Our work examines the allocation of the above categories as
independent sub-problems and latter amalgamate it into an endto-end multi-objective constrained optimization problem. Our
proposed approach is influenced by Multiple Attribute Decision
Making, Analytical Hierarchy Processing for slice assignment
and enhanced Dinic’s Maximum Flow Method to find all possible
virtual paths for allocations. Simulations are carried out through
NS3 and results are compared against well-known algorithms
