A Coverage-aware Resource Provisioning Method for Network Slicing

by   Quang-Trung Luu, et al.

Network slicing appears as a key enabler for the future 5G networks. Mobile Network Operators create various slices for Service Providers (SP) to accommodate customized services. As network slices are operated on a common network infrastructure owned by some Infrastructure Provider (InP), sharing the resources across a set of network slices is important for future deployment. Moreover, in many situations, slices have to be deployed over some geographical area: coverage as well as minimum per-user rate constraints have then to be taken into account. Usually, the various Service Function Chains (SFCs) belonging to a slice are deployed on a best-effort basis. Nothing ensures that the InP will be able to allocate enough resources to cope with the increasing demands of some SP. This paper takes the InP perspective and proposes a slice resource provisioning approach to cope with multiple slice demands in terms of computing, storage, coverage, and rate constraints. The resource requirements of the various Service Function Chains to be deployed within a slice are aggregated within a graph of Slice Resource Demands (SRD). Coverage and rate constraints are also taken into account in the SRD. Infrastructure nodes and links have then to be provisioned so as to satisfy all types of resource demands. This problem leads to a Mixed Integer Linear Programming formulation. A two-step deployment approach is considered, with several variants, depending on whether the constraints of each slide to be deployed are taken into account sequentially or jointly. Once provisioning has been performed, any slice deployment strategy may be considered on the reduced-size infrastructure graph representing the nodes and links on which resources have been provisioned. Simulation results demonstrate the effectiveness of the proposed approach compared to a more classical direct slice embedding approach.


page 1

page 4


Uncertainty-Aware Resource Provisioning for Network Slicing

Network slicing allows Mobile Network Operators to split the physical in...

DELMU: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls

Advances in network programmability enable operators to 'slice' the phys...

An agile and distributed mechanism for inter-domain network slicing in next generation mobile networks

Network slicing is emerging as a promising method to provide sought-afte...

A Security-aware Network Function Sharing Model for 5G Slicing

Sharing Virtualized Network Functions (VNFs) among different slices in F...

A Queuing based Dynamic Auto Scaling Algorithm for the LTE EPC Control Plane

Network Slicing (NS) is expected to be a key functionality of the upcomi...

ICN-aware Network Slicing Framework for Mobile Data Distribution

Network slicing offers an opportunity to realize ICN as a slice in 5G de...

Harmonizing 3GPP and NFV description models to provide customized RAN slices in 5G networks

The standardization of Radio Access Network (RAN) in mobile networks has...

Please sign up or login with your details

Forgot password? Click here to reset