Estimating and Synthesizing QoE Based on QoS Measurement for Improving Multimedia Services on Cellular Networks Using ANN Method

Uthansakul, Peerapong; Anchuen, Patikorn; Uthansakul, Monthippa; Khan, Arfat Ahmad

doi:10.1109/tnsm.2019.2946091

Cited by 32 publications

(29 citation statements)

References 21 publications

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“…QoE modelling from the collected datasets in a particular area cannot confirm the implementation of the model for all areas from previous works [24] and other related works. To summarize the implementation of the model in each area, the QoE model must be cautiously considered.…”

Section: ) Datasets From Different Density Areasmentioning

confidence: 73%

“…These QoS parameters consist of 28 indicators, and these indicators are measured on the end device. The meaning of each indicator could refer to our published article [24].…”

Section: A Types Of Qos Parametersmentioning

confidence: 99%

“…In this group, most students want to consume multimedia and web services for entertainment and education. The raters were selected from 92 students as per previous work [24]. The selection of the smallest number of participants is based on the IRR analysis with the interpretation of Cohen's kappa coefficient.…”

Section: ) Datasets From Different Density Areasmentioning

confidence: 99%

“…However, most research has proven that the ANN model is efficient and flexible, but these existing works have not studied an appropriate QoE model for implementation with different operating situations in the real environment. So far, creating an empirical model remains a flexible and effective method for a comprehensive implementation [24]. Three special processes consist of the pre-processing process to independently select the influence factors, QoE model creation to effectively create the objective function and parameter synthesis to guide the paradigm for improving the network.…”

Section: Introductionmentioning

confidence: 99%

“…In our previous work [24], the ANN method was used to estimate and synthesize QoE based on QoS measurement to improve multimedia services over cellular networks. In that work, ANN was proven to be flexible and useful to create the QoE model.…”

Section: Introductionmentioning

confidence: 99%

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QoE Analysis for Improving Multimedia Services Based on Different Operating Situations on Cellular Networks

Anchuen

Uthansakul

2021

IEEE Access

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Cellular networks are constantly evolving to support the new context and demands of users with increasing internet traffic. The key to a service provider's success is a direct response to endpoints to retain existing users and attract new users. For this reason, Mobile Network Operators (MNOs) must reach user satisfaction under a user-centered perspective with Quality of Experience (QoE) to achieve a Return on Investment (RoI). In the latest QoE modelling, our previous method performed QoE estimation and synthesis using an Artificial Neural Network (ANN). Nevertheless, such work did not prove the characteristics of the QoE model built on different working situations. The essential features of the area and user diversities need to be considered in detail to summarize the proper model. In this paper, the proposed framework focuses on analyzing QoE model characteristics under different operating situations for comprehensive implementation. The experimental results reveal that the created QoE models from areas of different densities affect the different predictive variables. Inter-Rater Reliability (IRR) analysis exposes the reliability of datasets gathered from users of different groups to distinguish the effects on the response of significant parameters. Additionally, the summary specifies the characteristics of the appropriate model by area and user group as a guideline for improving the multimedia services.

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Section: ) Datasets From Different Density Areasmentioning

confidence: 73%

“…These QoS parameters consist of 28 indicators, and these indicators are measured on the end device. The meaning of each indicator could refer to our published article [24].…”

Section: A Types Of Qos Parametersmentioning

confidence: 99%

Section: ) Datasets From Different Density Areasmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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QoE Analysis for Improving Multimedia Services Based on Different Operating Situations on Cellular Networks

Anchuen

Uthansakul

2021

IEEE Access

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Challenges in meeting QoS requirements toward 6G wireless networks: A state of the art survey

Ahmed

Mahmood

Matin

2022

Trans Emerging Tel Tech

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The 6G wireless network with its superior capabilities must be considered to accommodate the much more stringent quality of service (QoS) requirements of the numerous emerging applications and services in the future. Attempting to adhere these constraints raise various challenges that are required to be addressed and solved in order to realize the vision of a fully intelligent and automated future society. This article provides the key enabling technologies and future applications for 6G networks followed by a discussion on QoS. It also presents a state-of-the-art survey on the challenges faced while trying to meet the QoS requirements regarding the time latency, throughput, connectivity, packet loss, and bandwidth, together with possible solutions to handle various constraints. A discussion on user satisfaction estimation from QoS analysis is also included. Finally, the article concludes with future research opportunities in meeting the QoS constraints of the 6G network.

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The Performance Analysis on Channel Estimation in Millimeter-Wave Communication and Their Challenges

Shoukath Ali,

Ahmad Khan,

Perarasi

et al. 2024

Next Generation Wireless Communication

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Estimating and Synthesizing QoE Based on QoS Measurement for Improving Multimedia Services on Cellular Networks Using ANN Method

Cited by 32 publications

References 21 publications

QoE Analysis for Improving Multimedia Services Based on Different Operating Situations on Cellular Networks

QoE Analysis for Improving Multimedia Services Based on Different Operating Situations on Cellular Networks

Challenges in meeting QoS requirements toward 6G wireless networks: A state of the art survey

The Performance Analysis on Channel Estimation in Millimeter-Wave Communication and Their Challenges

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