Fair Optimization of Video Streaming Quality of Experience in LTE Networks Using Distributed Antenna Systems and Radio Resource Management

Network quality of experience (QoE) metrics are proposed in order to capture the overall performance of radio resource management (RRM) algorithms in terms of video quality perceived by the end users. Metrics corresponding to average, geometric mean, and minimum QoE in the network are measured when...

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Main Authors: Elias Yaacoub, Zaher Dawy
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/562079
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author Elias Yaacoub
Zaher Dawy
author_facet Elias Yaacoub
Zaher Dawy
author_sort Elias Yaacoub
collection DOAJ
description Network quality of experience (QoE) metrics are proposed in order to capture the overall performance of radio resource management (RRM) algorithms in terms of video quality perceived by the end users. Metrics corresponding to average, geometric mean, and minimum QoE in the network are measured when Max C/I, proportional fair, and Max-Min RRM algorithms are implemented in the network. The objective is to ensure a fair QoE for all users in the network. In our study, we investigate both the uplink (UL) and downlink (DL) directions, and we consider the use of distributed antenna systems (DASs) to enhance the performance. The performance of the various RRM methods in terms of the proposed network QoE metrics is studied in scenarios with and without DAS deployments. Results show that a combination of DAS and fair RRM algorithms can lead to significant and fair QoE enhancements for all the users in the network.
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spelling doaj-art-e4bfcf930c0345ccaa9e374c9d8efe272025-02-03T01:09:43ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/562079562079Fair Optimization of Video Streaming Quality of Experience in LTE Networks Using Distributed Antenna Systems and Radio Resource ManagementElias Yaacoub0Zaher Dawy1Qatar Mobility Innovations Center (QMIC), Qatar Science and Technology Park, P.O. Box 210531, Doha, QatarElectrical and Computer Engineering Department, Faculty of Engineering and Architecture, American University of Beirut, Riad El-Solh, P.O. Box 11-0236, Beirut 1107 2020, LebanonNetwork quality of experience (QoE) metrics are proposed in order to capture the overall performance of radio resource management (RRM) algorithms in terms of video quality perceived by the end users. Metrics corresponding to average, geometric mean, and minimum QoE in the network are measured when Max C/I, proportional fair, and Max-Min RRM algorithms are implemented in the network. The objective is to ensure a fair QoE for all users in the network. In our study, we investigate both the uplink (UL) and downlink (DL) directions, and we consider the use of distributed antenna systems (DASs) to enhance the performance. The performance of the various RRM methods in terms of the proposed network QoE metrics is studied in scenarios with and without DAS deployments. Results show that a combination of DAS and fair RRM algorithms can lead to significant and fair QoE enhancements for all the users in the network.http://dx.doi.org/10.1155/2014/562079
spellingShingle Elias Yaacoub
Zaher Dawy
Fair Optimization of Video Streaming Quality of Experience in LTE Networks Using Distributed Antenna Systems and Radio Resource Management
Journal of Applied Mathematics
title Fair Optimization of Video Streaming Quality of Experience in LTE Networks Using Distributed Antenna Systems and Radio Resource Management
title_full Fair Optimization of Video Streaming Quality of Experience in LTE Networks Using Distributed Antenna Systems and Radio Resource Management
title_fullStr Fair Optimization of Video Streaming Quality of Experience in LTE Networks Using Distributed Antenna Systems and Radio Resource Management
title_full_unstemmed Fair Optimization of Video Streaming Quality of Experience in LTE Networks Using Distributed Antenna Systems and Radio Resource Management
title_short Fair Optimization of Video Streaming Quality of Experience in LTE Networks Using Distributed Antenna Systems and Radio Resource Management
title_sort fair optimization of video streaming quality of experience in lte networks using distributed antenna systems and radio resource management
url http://dx.doi.org/10.1155/2014/562079
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AT zaherdawy fairoptimizationofvideostreamingqualityofexperienceinltenetworksusingdistributedantennasystemsandradioresourcemanagement