Analysis of Neural Network Model Design for Telecommunication Corporate Network Monitoring

Abstract

One key use case for a future neural network is mass inter-machine communication for the Internet of things (IoT) domain, which meets a wide range of requirements, from huge bandwidth to extremely low latency and huge heterogeneity of end devices in corporate network. Subsequently, the network shall provide the IoT network domain dedicated slice of the physical network. The network slicing concept describes a logical segment of a physical network that guarantees a set of QoS requirements. Importantly, they are provided for end-to-end communication to the core of the network. We discuss the neural network model design for telecommunication corporate network monitoring. Based on the applied analysis, it can be concluded that the neural network approach is used to optimize the corporate network structure.