The new generation of LTE (Long Term Evolution) networks provides ubiquitous broadband access to mobile devices matching land communications in quality and speed. However, to optimize network resource usage in a dynamic environment network operators need models and strategies to constantly assess and manage the end-user's Quality of Experience (QoE). Given the importance of these activities, in the current paper, we focus on quality monitoring and the usage of QoE-agents in an LTE-Advanced Pro network. Specifically, we identify the location and the operation of the QoE-Agents based on the accuracy of the measurements and the load in the network considering the frequency of the measurements and the running applications. Emulations have been also carried out to evaluate two scenarios with different network conditions and we made experiments with different quality sampling rates and different application configurations. The preliminary results have shown that the proposed strategy brings to acceptable errors from our measurements, low CPU utilization and acceptable memory utilization.

An Agent-Based QoE Monitoring Strategy for LTE Networks

Elisavet Grigoriou;Luigi Atzori;Virginia Pilloni;
2018-01-01

Abstract

The new generation of LTE (Long Term Evolution) networks provides ubiquitous broadband access to mobile devices matching land communications in quality and speed. However, to optimize network resource usage in a dynamic environment network operators need models and strategies to constantly assess and manage the end-user's Quality of Experience (QoE). Given the importance of these activities, in the current paper, we focus on quality monitoring and the usage of QoE-agents in an LTE-Advanced Pro network. Specifically, we identify the location and the operation of the QoE-Agents based on the accuracy of the measurements and the load in the network considering the frequency of the measurements and the running applications. Emulations have been also carried out to evaluate two scenarios with different network conditions and we made experiments with different quality sampling rates and different application configurations. The preliminary results have shown that the proposed strategy brings to acceptable errors from our measurements, low CPU utilization and acceptable memory utilization.
2018
9781538631805
Agent; LTE-Advanced; Mininet; Monitoring; QoE; Video; Computer Networks and Communications; Electrical and Electronic Engineering
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/253833
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 1
social impact