Network Slicing for Massive Machine Type Communication in IoT-5G Scenario

Abstract

Network slicing is a key component of the envisioned 5G network. Slices are virtual networks purpose-built for tenants using a shared infrastructure. The slicing process is mathematically known as a virtual network embedding problem (VNE). Despite the plethora of VNE strategies in the literature, they do not take into account the fact that massive data transmission can be carried in a certain period. Embedding a large number of virtual networks to a real physical network over time is an NP-Hard problem, and it becomes more complex because of new considerations such as periodicity, amount of data and duration. Thus, we propose the NS4MIoT, a solution to allocate slices resources for each tenant, allowing it to be aware of each transmission's periodicity, amount of data, and duration. NS4MIoT is an approach to increase the quantity of requisition mapped in an envisioned 5G network for IoT massive communication. To validate our solution, we incorporate it into two different embedding algorithms. Furthermore, we compare the same algorithms with and without the NS4MIoT approach, and the outcomes demonstrate an improvement in the mapping rate in all cases when it is incorporated.