Quality of Service and Channel Aware Packet Scheduling Algorithm for Long-Term Evolution System

As the development of wireless networks has evolved, Long-Term Evolution (LTE) was brought in to fulfill the demands and needs of users. This is especially true in the area of the wireless network’s Quality of Service (QoS) in real-time applications. There are various solutions for problems in the d...

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Main Author:	Ang, Ee Mae
Format:	Thesis
Published:	2015
Subjects:	QA75.5-76.95 Electronic computers Computer science
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id	my-mmu-ep.6894
record_format	uketd_dc
spelling	my-mmu-ep.68942017-09-07T10:45:09Z Quality of Service and Channel Aware Packet Scheduling Algorithm for Long-Term Evolution System 2015-03 Ang, Ee Mae QA75.5-76.95 Electronic computers. Computer science As the development of wireless networks has evolved, Long-Term Evolution (LTE) was brought in to fulfill the demands and needs of users. This is especially true in the area of the wireless network’s Quality of Service (QoS) in real-time applications. There are various solutions for problems in the downlink packet scheduling, but there is still room to have a higher QoS to provide greater satisfaction to users. A better user experience requires real-time applications to have a minimum amount of delay. A study of recent existing scheduling strategies implemented in LTE and an overview table is provided for overall comparison and analysis is presented. Based on the literature review, further research is performed on Exponential Rule (EXP Rule) scheme. Thus, this research have proposed several schemes whereby were experimented and analysed. The proposed schemes include 1) EXP Rule with MT (EXP_MT Rule), 2) Simplified EXP Rule (sEXP Rule), 3) Modified Exponential Rule (mEXP Rule), and 4) Enhanced EXP Rule with MT (E2M Rule). Here, E2M Rule performs better than the benchmarked EXP Rule and outstands the other proposed schemes, thus is further experimented in a two-level scheduling framework. In this research, two-level scheduling framework that pays attention to realtime applications,which include video and Voice over Internet Protocol (VoIP), is proposed and developed. 2015-03 Thesis http://shdl.mmu.edu.my/6894/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Faculty of Information Science and Technology
institution	Multimedia University
collection	MMU Institutional Repository
topic	QA75.5-76.95 Electronic computers Computer science
spellingShingle	QA75.5-76.95 Electronic computers Computer science Ang, Ee Mae Quality of Service and Channel Aware Packet Scheduling Algorithm for Long-Term Evolution System
description	As the development of wireless networks has evolved, Long-Term Evolution (LTE) was brought in to fulfill the demands and needs of users. This is especially true in the area of the wireless network’s Quality of Service (QoS) in real-time applications. There are various solutions for problems in the downlink packet scheduling, but there is still room to have a higher QoS to provide greater satisfaction to users. A better user experience requires real-time applications to have a minimum amount of delay. A study of recent existing scheduling strategies implemented in LTE and an overview table is provided for overall comparison and analysis is presented. Based on the literature review, further research is performed on Exponential Rule (EXP Rule) scheme. Thus, this research have proposed several schemes whereby were experimented and analysed. The proposed schemes include 1) EXP Rule with MT (EXP_MT Rule), 2) Simplified EXP Rule (sEXP Rule), 3) Modified Exponential Rule (mEXP Rule), and 4) Enhanced EXP Rule with MT (E2M Rule). Here, E2M Rule performs better than the benchmarked EXP Rule and outstands the other proposed schemes, thus is further experimented in a two-level scheduling framework. In this research, two-level scheduling framework that pays attention to realtime applications,which include video and Voice over Internet Protocol (VoIP), is proposed and developed.
format	Thesis
qualification_level	Master's degree
author	Ang, Ee Mae
author_facet	Ang, Ee Mae
author_sort	Ang, Ee Mae
title	Quality of Service and Channel Aware Packet Scheduling Algorithm for Long-Term Evolution System
title_short	Quality of Service and Channel Aware Packet Scheduling Algorithm for Long-Term Evolution System
title_full	Quality of Service and Channel Aware Packet Scheduling Algorithm for Long-Term Evolution System
title_fullStr	Quality of Service and Channel Aware Packet Scheduling Algorithm for Long-Term Evolution System
title_full_unstemmed	Quality of Service and Channel Aware Packet Scheduling Algorithm for Long-Term Evolution System
title_sort	quality of service and channel aware packet scheduling algorithm for long-term evolution system
granting_institution	Multimedia University
granting_department	Faculty of Information Science and Technology
publishDate	2015
_version_	1747829642843127808

Quality of Service and Channel Aware Packet Scheduling Algorithm for Long-Term Evolution System

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