A Machine Learning based Prediction Model for Bursty Traffic in 5G mMTC Networks

2019

Master's thesis Information- and communication technology IKT590 - University of Agder 2019 The rapid growth in popularity for the Internet of Things (IoT) has paved the way for a newtype of communication, called Machine-type Communication (MTC), causing substantially in-creased traffic volume. The existing network infrastructure is facing challenges when handlingthe increased traffic load, especially under bursty conditions. Consequently, the network willmore often experience congestion during bursty conditions, which will in turn reduce through-put, and lead to a decline in quality of service.Several improvements have been studied to help support the increasing mMTC traffic load.However, …