New Model Predicts Video Traffic Behavior on LTE Networks
Researchers have developed a mathematical model that accurately predicts how video data moves across LTE wireless networks in real-world conditions. The finding matters because telecom operators and equipment makers need precise traffic forecasts to prevent service delays and manage network capacity as video consumption continues to surge.
Originaltitel: <em>Gaussian semi-Markov Model based on Real Video Multimedia Traffic</em>
<p>The 3rd Generation Partnership Project (3GPP) introduced the new radio access technology, LTE (Long Term Evolution) and LTE-Advanced, which has the capability to provide larger bandwidth and low latencies on a wireless network in order to fulfill the demand of Users' Equipment (UEs) with acceptable Quality of Service (QoS). One of the data-heavy applications that has exploded on the market is Video. This calls for accurate modeling of video traffic. To ensure the quality and correctness of complex systems with Video traffic, it is important to evaluate the behavior of the traffic in the heterogeneous environment. This paper presents measurements on LTE Video traffic which were performed in a real environment. We derived a semi-Markov model which accurately reproduces the statistics of composite Video measurements over LTE network.</p>