Dynamic Network Provisioning with AI-enabled Path Planning
Hong-Nam Quach, Chulwoong Choi, Kyungbaek Kim · 2020
As the number of mobile devices increases and the concept of 5G networks becomes popular, various network infrastructures and services emerge. Also, more users request user-specific network services within limited network resources. Under this complex situation, in order to provide a guaranteed QoS level to users, it requires to consider various factors which affect the performance of network service, and dynamic network provisioning is required. In this paper, we propose a dynamic network provisioning system with AI-enabled path planning, which uses the side channel information such as disaster events, maintenance events, and distribution of users. In this system, we design a user request handler that understands user-specific QoS and spatio-temporal requirements in order to maximize the utilization of a given network resource. Also, this system utilizes side-channel information to optimizing the network provisioning in a realtime manner.