Evaluation of quality of service in fourth generation wireless and mobile networks

Communication networks extend network capacity and coverage by leveraging network and resource architecture in a dynamic way. However, because of the different communication technologies and quality of service (QoS, managing and monitoring these networks are too difficult. All communication technolo...

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Main Author:	Ghadeer, Sabah Hassan
Format:	Thesis
Language:	English English English
Published:	2019
Subjects:	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
Online Access:	http://eprints.uthm.edu.my/664/1/24p%20SABAH%20HASSAN%20GHADEER.pdf http://eprints.uthm.edu.my/664/2/SABAH%20HASSAN%20GHADEER%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/664/3/SABAH%20HASSAN%20GHADEER%20WATERMARK.pdf
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id	my-uthm-ep.664
record_format	uketd_dc
spelling	my-uthm-ep.6642021-08-19T05:49:58Z Evaluation of quality of service in fourth generation wireless and mobile networks 2019-06 Ghadeer, Sabah Hassan TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television Communication networks extend network capacity and coverage by leveraging network and resource architecture in a dynamic way. However, because of the different communication technologies and quality of service (QoS, managing and monitoring these networks are too difficult. All communication technology has its own characteristics while the applications you use have their own QoS requirements. The methods are based on the QoS analysis for each application or access network separately. However, these methods do not combine all performance and wireless access networks while reporting QoS quality to the group Arrangement. Therefore, it is difficult to obtain any aggregate performance results using these methods. In this project, a methodical method is applied for the QoS analysis of these types of networks. The method uses a fuzzy logic (FL), artificial neural network (ANN) and Adaptive Neuro-fuzzy Interference System (ANFIS) to evaluate and predict the performance QoS of networks. The proposed methods consider the significance of QoS-related parameters, the available network-based applications, and the available Radio Access Networks (RANs) to characterize the network performance with a set of three integrated QoS metrics. The first metric denotes the performance of each available application on the network, the second one represents the performance of each active RAN on the network, and the third one characterizes the QoS level of the entire network configuration. The obtained predicting output were compared to the actual data and to each other to test which system the best for this study. The results ANN model were the closed to the real data than outcome ANFIS model. 2019-06 Thesis http://eprints.uthm.edu.my/664/ http://eprints.uthm.edu.my/664/1/24p%20SABAH%20HASSAN%20GHADEER.pdf text en public http://eprints.uthm.edu.my/664/2/SABAH%20HASSAN%20GHADEER%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/664/3/SABAH%20HASSAN%20GHADEER%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
spellingShingle	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television Ghadeer, Sabah Hassan Evaluation of quality of service in fourth generation wireless and mobile networks
description	Communication networks extend network capacity and coverage by leveraging network and resource architecture in a dynamic way. However, because of the different communication technologies and quality of service (QoS, managing and monitoring these networks are too difficult. All communication technology has its own characteristics while the applications you use have their own QoS requirements. The methods are based on the QoS analysis for each application or access network separately. However, these methods do not combine all performance and wireless access networks while reporting QoS quality to the group Arrangement. Therefore, it is difficult to obtain any aggregate performance results using these methods. In this project, a methodical method is applied for the QoS analysis of these types of networks. The method uses a fuzzy logic (FL), artificial neural network (ANN) and Adaptive Neuro-fuzzy Interference System (ANFIS) to evaluate and predict the performance QoS of networks. The proposed methods consider the significance of QoS-related parameters, the available network-based applications, and the available Radio Access Networks (RANs) to characterize the network performance with a set of three integrated QoS metrics. The first metric denotes the performance of each available application on the network, the second one represents the performance of each active RAN on the network, and the third one characterizes the QoS level of the entire network configuration. The obtained predicting output were compared to the actual data and to each other to test which system the best for this study. The results ANN model were the closed to the real data than outcome ANFIS model.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Ghadeer, Sabah Hassan
author_facet	Ghadeer, Sabah Hassan
author_sort	Ghadeer, Sabah Hassan
title	Evaluation of quality of service in fourth generation wireless and mobile networks
title_short	Evaluation of quality of service in fourth generation wireless and mobile networks
title_full	Evaluation of quality of service in fourth generation wireless and mobile networks
title_fullStr	Evaluation of quality of service in fourth generation wireless and mobile networks
title_full_unstemmed	Evaluation of quality of service in fourth generation wireless and mobile networks
title_sort	evaluation of quality of service in fourth generation wireless and mobile networks
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate	2019
url	http://eprints.uthm.edu.my/664/1/24p%20SABAH%20HASSAN%20GHADEER.pdf http://eprints.uthm.edu.my/664/2/SABAH%20HASSAN%20GHADEER%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/664/3/SABAH%20HASSAN%20GHADEER%20WATERMARK.pdf
_version_	1747830656830799872

Evaluation of quality of service in fourth generation wireless and mobile networks

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