Statistical validation of an LTE emulation tool using live video streaming over reliable transport protocols

Abstract

Multimedia services such as Live Video-Streaming (LVS) or Video on Demand are the main drivers behind the notable traffic growth in cellular networks. This fact has attracted the interest of both academia and telcos in improving the end user's quality of experience. For this reason, the development of test benches for conducting traffic studies in this type of telecommunication system is necessary and emulators are a good option to validate possible solutions without affecting the real systems. However, most works addressing the emulation of Long-Term Evolution (LTE) systems do not validate their outcomes with real environments and hence ignore critical parameters such as the impact of wireless propagation under different scenarios. Therefore, the goal of this paper is to validate an outdoor propagation model for LVS so that accurate studies of traffic characterization in LTE networks can be carried out using an emulation tool. The validation is done through a statistical analysis of variance (ANOVA) of Quality of Service metrics, comparing the results obtained in an LTE-emulated scenario with those obtained in a real LTE test bench. For this study, the LVS service runs on top of a reliable transport protocol. Specifically, we test the Real-Time Message Protocol and the MPEG Dynamic Adaptive Streaming over HTTP (DASH) protocol, both using TCP at the transport layer. According to the results, the propagation model that better matches the real environment under the considered conditions is the Nakagami-m propagation model with m = 5.

Information and analytical support for the detection and investigation of crimes

“…The advantages of integrated registration data in combination with mobile telecommunications are revealed during the analytical processing of information arrays of the forensic registration system. The use of cluster analysis methods [8] helps to establish links between several crime events through the similarity of traces, objects of criminal encroachment, and persons involved. As soon as the objects of the cluster of interest are established in the circumstances of other crime events, a link between criminal cases will be created automatically.…”

Caracterización de tráfico para el servicio de Video Streaming en vivo sobre DASH en redes 4G basado en analizadores sintácticos

“…To conduct the study that allows characterizing the traffic from LVS services in an emulated LTE network, the DASH adaptive streaming technique is used, as well as the emulation scenario presented in Fig. 2, adapted from [18] and validated by the authors in [19], [20]. The emulation scenario is made up of a real video server, an LTE network constructed through the NS3 tool, and a client (User Equipment, UE).…”

On the Identification and Prediction of Stalling Events to Improve QoE in Video Streaming

“…The dataset was obtained in an LTE emulated deployment described and validated in [5,24] (see Figure 1). The scenario was composed of three devices: a real video server, an emulated LTE network, and a client.…”

“…However, the minority class would be the most important from a QoE perspective because is deeply linked with a behavior that needs to be avoided (or whose impact needs to be limited). In this work, we deal with an imbalance dataset obtained from [5,24]. Despite being imbalanced, our goal is to use it in order to propose an efficient mechanism able to classify a packet as belonging (or not) to a stalling event and to predict if the next packet will belong (or not) to a stalling event.…”

“…To carry out this study, we employed a dataset obtained from an emulated Long-term Evolution (LTE) scenario that was validated in [5,24]; video streaming transmission and reception were executed in real devices, whereas the LTE network was simulated with the NS3 network simulator. Dynamic adaptive streaming over HTTP (DASH) was used.…”