Abstract
With Global mobile traffic doubling every 18 months along with the massive increase in
unique data users across digital platforms during the Covid-19 Pandemic, the worlds demand
for high-speed connectivity continues to increase every second. The Covid-19 Pandemic has
transformed the global workforce with remote working arrangements, embracing new
platforms, subsequently increasing the demand for reliable, quality, high speed connectivity
everywhere. 5th Generation Mobile Communication Technology (5G) provides an effective
solution, modernising network infrastructure, efficiently providing reliable high bandwidth
capacity for massive data growth and ultra-low latency, making delays virtually impossible
to perceive.
5G Network Slicing enables services to own dedicated logical portions of the 5G network
with performance measures for their requirement governed by Service Level Agreements
(SLAs) for optimal customer engagement. Network Function Virtualization (NFV) enables
distributed cloud which supports flexible and programmable networks. These virtual
networks allow Internet of Things (IoT) services at industrial scale, making society more
sustainable, increasing resource efficiency. This means elevating reality further with fibre
like speeds for everyone, everywhere. There are various advocated Radio Access Network
(RAN) slicing optimization techniques. Optimisation for Transport Network (TN) have also
been proposed. Software-Defined Networking (SDN) enables a split between data
forwarding as well as control layers in 5G.
Traditional network capability is limited and operators must upgrade to high performant 5G
networks that invariably support evolving industry verticals applications with their SLA
demands. Our research effort focuses on Core network (CN) efficiencies. Various strategies,
architectures and use cases have been proposed for 5G Network slicing to satisfy industry
vertical requirements. Yet the concern on satisfying industry verticals varied requirements
over 5G still remains. Dynamic 5G slice selection to meet verticals applications Quality of
Service (QoS) is not adequately solved and demands further investigation. Our work
proposes a dynamic model for 5G Network Slice creation that meets Industry verticals
service QoS requirements which is critical to service adoption. A Software emulation is utilized to guide the design and evaluation of our proposed model. Simulated results show
QoS guarantees are met for the reviewed service requirements in varying network
conditions.