Abstract
One of the most important novelty in 5G is network slicing proposed as a collection of logical network functions for services running on a common physical device. In an Internet of Things (IoT) context, network resources need to be efficiently reserved and assigned for IoT devices in an isolated manner to handle and support specific Quality of Service (QoS) requirements for each slice. The focus of this paper is to investigate network slicing in LoRa network and propose a dynamic inter-slicing algorithm based on a maximum likelihood estimation that avoids resource starvation and prioritizes a slice over another depending on its QoS requirements. Moreover, we place the emphasis on a novel intra-slicing strategy that maximizes resource allocation efficiency of LoRa slices with regard to their delay requirements. After integrating an energy module for LoRa in NS3, simulation results performed in realistic LoRa scenarios highlight the utility of our dynamic network slicing proposition in providing isolation between slices with specific QoS guarantees.