Mobile Network Quality of Experience using Big Data Analytics Approach

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dc.contributor.authorYusuf- Asaju, Ayisat Wuraola
dc.contributor.authorDahalin, Zulkhairi Md
dc.contributor.authorTa’a, Azman
dc.date.accessioned2018-07-04T11:52:10Z
dc.date.available2018-07-04T11:52:10Z
dc.date.issued2017
dc.description.abstractTraditionally, Quality of experience is mostly examined in a laboratory experiments to enable a fixed contextual factor. While the results present an estimated mean opinion score representing perceived QoE. It is imperative to estimate mean opinion score employing large data (big data) gathered from the mobile network comprising of different user’s location and time for a specific service. Because time and location can have a huge influence on the user perceived quality of experience. Therefore, this paper proposed a framework for modelling perceived QoE through big data analytics. The proposed framework describes the process of estimating perceived quality of experience to assist the mobile network operators effectively manage the network performance and aid satisfactory provision of mobile internet services.en_US
dc.identifier.citation(6) Yusuf-Asaju, A W, Zulkhairi Dahalin, Ta’a, A. (2017): Mobile Network Quality of Experience using Big Data Analytics Approach. Proceedings of the 8th International Conference on Information Technology (ICIT). Abdalla, A., Samsudin, A., (eds.) 658-664. Published by Institute of Electrical and Electronics Engineers (IEEE) https://ieeexplore.ieee.org/abstract/document/8079923/en_US
dc.identifier.urihttp://hdl.handle.net/123456789/818
dc.language.isoenen_US
dc.subjectMean Opinion Scoreen_US
dc.subjectBig data analyticsen_US
dc.subjectMobile Network Operatoren_US
dc.subjectTelecomsen_US
dc.titleMobile Network Quality of Experience using Big Data Analytics Approachen_US
dc.typeArticleen_US

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