QoE Optimization in a Live Cellular Network through RLC Parameter Tuning

The mobile communication networks sector has experienced a great evolution during the last few years. The emergence of new services as well as the growth in the number of subscribers have motivated the search for new ways to optimize mobile networks. In this way, the objective pursued by optimizatio...

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Main Authors: Jessica Mendoza, Isabel de-la-Bandera, David Palacios, Raquel Barco
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/16/5619
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author Jessica Mendoza
Isabel de-la-Bandera
David Palacios
Raquel Barco
author_facet Jessica Mendoza
Isabel de-la-Bandera
David Palacios
Raquel Barco
author_sort Jessica Mendoza
collection DOAJ
description The mobile communication networks sector has experienced a great evolution during the last few years. The emergence of new services as well as the growth in the number of subscribers have motivated the search for new ways to optimize mobile networks. In this way, the objective pursued by optimization techniques has been evolving, shifting from the traditional optimization of radio parameters to the improvement of the quality perceived by users, known as quality of experience (QoE). In mobile networks, the radio link control (RLC) layer provides a reliable link between both ends of the communication and has a great impact on the QoE. In this paper, the optimization of the QoE for users based on the adjustment of the RLC layer is proposed. For this purpose, two typical services demanded by the users of mobile networks have been selected: the real-time video streaming service and file transfer service. For a broader view of the behavior of the QoE in relation to RLC, optimization tests have been carried out in scenarios with different system bandwidths. In this way, the relationship between the QoE and the optimal configuration of RLC in different network load situations has been analyzed. A proof of concept has been carried out to show the capability of this optimization. To that end, both a cellular network simulator and a live cellular network devised for research purposes have been used.
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spelling doaj.art-687d7e1cb2174202808ee6367d7cf3312023-11-22T09:42:53ZengMDPI AGSensors1424-82202021-08-012116561910.3390/s21165619QoE Optimization in a Live Cellular Network through RLC Parameter TuningJessica Mendoza0Isabel de-la-Bandera1David Palacios2Raquel Barco3Instituto Universitario de Investigación en Telecomunicación (TELMA), Universidad de Málaga, CEI Andalucía TECH E.T.S.I. Telecomunicación, Bulevar Louis Pasteur 35, 29010 Málaga, SpainInstituto Universitario de Investigación en Telecomunicación (TELMA), Universidad de Málaga, CEI Andalucía TECH E.T.S.I. Telecomunicación, Bulevar Louis Pasteur 35, 29010 Málaga, SpainTupl Spain S.L., Tupl Inc., 29010 Málaga, SpainInstituto Universitario de Investigación en Telecomunicación (TELMA), Universidad de Málaga, CEI Andalucía TECH E.T.S.I. Telecomunicación, Bulevar Louis Pasteur 35, 29010 Málaga, SpainThe mobile communication networks sector has experienced a great evolution during the last few years. The emergence of new services as well as the growth in the number of subscribers have motivated the search for new ways to optimize mobile networks. In this way, the objective pursued by optimization techniques has been evolving, shifting from the traditional optimization of radio parameters to the improvement of the quality perceived by users, known as quality of experience (QoE). In mobile networks, the radio link control (RLC) layer provides a reliable link between both ends of the communication and has a great impact on the QoE. In this paper, the optimization of the QoE for users based on the adjustment of the RLC layer is proposed. For this purpose, two typical services demanded by the users of mobile networks have been selected: the real-time video streaming service and file transfer service. For a broader view of the behavior of the QoE in relation to RLC, optimization tests have been carried out in scenarios with different system bandwidths. In this way, the relationship between the QoE and the optimal configuration of RLC in different network load situations has been analyzed. A proof of concept has been carried out to show the capability of this optimization. To that end, both a cellular network simulator and a live cellular network devised for research purposes have been used.https://www.mdpi.com/1424-8220/21/16/5619end-to-end (E2E) optimizationquality of experience (QoE)radio link control (RLC)
spellingShingle Jessica Mendoza
Isabel de-la-Bandera
David Palacios
Raquel Barco
QoE Optimization in a Live Cellular Network through RLC Parameter Tuning
Sensors
end-to-end (E2E) optimization
quality of experience (QoE)
radio link control (RLC)
title QoE Optimization in a Live Cellular Network through RLC Parameter Tuning
title_full QoE Optimization in a Live Cellular Network through RLC Parameter Tuning
title_fullStr QoE Optimization in a Live Cellular Network through RLC Parameter Tuning
title_full_unstemmed QoE Optimization in a Live Cellular Network through RLC Parameter Tuning
title_short QoE Optimization in a Live Cellular Network through RLC Parameter Tuning
title_sort qoe optimization in a live cellular network through rlc parameter tuning
topic end-to-end (E2E) optimization
quality of experience (QoE)
radio link control (RLC)
url https://www.mdpi.com/1424-8220/21/16/5619
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AT davidpalacios qoeoptimizationinalivecellularnetworkthroughrlcparametertuning
AT raquelbarco qoeoptimizationinalivecellularnetworkthroughrlcparametertuning