M-QoE driven context, content and network aware medical video streaming based on fuzzy logic system over 4G and beyond small cells

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Rehman, Ikram ORCID: https://orcid.org/0000-0003-0115-9024 and Philip, Nada (2015) M-QoE driven context, content and network aware medical video streaming based on fuzzy logic system over 4G and beyond small cells. In: 16th International Conference on Computer as a Tool (IEEE - EUROCON), 08-11 Sep 2015, Salamanca, Spain.

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Abstract

It is believed that small cells will play a very important role in future networks to meet the high user requirements in traffic volume, frequency efficiency, and energy and cost reduction. The small cell network is a new paradigm for successful deployment of m-health applications aimed at enhancing the medical Quality of Service (m-QoS) and medical Quality of Experience (m-QoE). This paper dilates upon the impact of 4G and beyond small cell heterogeneous networks for medical video streaming. Moreover, two system models are introduced hereafter. The proposed m-QoE learning and decision model based on Fuzzy Inference System (FIS) takes into account context, content and network related parameters to give estimated m-QoE as an output.

Item Type: Conference or Workshop Item (Paper)
ISBN: 9781479985692
Identifier: 10.1109/EUROCON.2015.7313789
Page Range: pp. 1-6
Identifier: 10.1109/EUROCON.2015.7313789
Keywords: m-health, 4G, Small cells, m-QoS, m-QoE, Fuzzy Logic
Subjects: Computing
Depositing User: Ikram Rehman
Date Deposited: 10 Jul 2019 09:56
Last Modified: 28 Aug 2021 07:11
URI: https://repository.uwl.ac.uk/id/eprint/6237

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