Bayesian-Based Downlink Scheduling Algorithm for Long Term Evolution (LTE)

With the rising demand for faster internet connections for multimedia application features, LTE has been chosen as the medium of transmission to fulfil these demands. The need to handle multiple simultaneous users with real-time transmission containing either voice or audio is the challenge that LTE...

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Main Author:	Kamarul Hatta, Khairul Anwar
Format:	Thesis
Published:	2016
Subjects:	QA75.5-76.95 Electronic computers Computer science
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id	my-mmu-ep.6893
record_format	uketd_dc
spelling	my-mmu-ep.68932017-09-07T10:44:02Z Bayesian-Based Downlink Scheduling Algorithm for Long Term Evolution (LTE) 2016-03 Kamarul Hatta, Khairul Anwar QA75.5-76.95 Electronic computers. Computer science With the rising demand for faster internet connections for multimedia application features, LTE has been chosen as the medium of transmission to fulfil these demands. The need to handle multiple simultaneous users with real-time transmission containing either voice or audio is the challenge that LTE is now facing. Hence, this research is develop a new real-time oriented downlink scheduling algorithm with the capability of handling a multiple simultaneous user environment. A criterion-based (C-B) downlink scheduling algorithm is designed by incorporating a Bayesian information criterion (BIC) as the profit function of the algorithms. Criterion-based proportional fairness (C-BPF) is designed for the fairness focus, while another algorithm named criterion-based modified largest weighted delay first (C-BMLWDF), which adapts a profit function from an existing downlink scheduler, has also been developed. BIC is suitable for selection based on a set of criteria within a finite model. A new solution is found from the research, which leads to the use of a true Bayesian estimate (TBE) as the new solution’s profit function. TBE is capable of handling multivariate parameters in a large pool, which makes it better at solving multiple simultaneous user issues. Three TBE-based algorithms are created: true Bayesian estimate delay (TBE-D) focuses on delay prioritisation, true Bayesian estimate fairness (TBE-F) focuses on the fairness properties of the scheduling, and a balanced approach is made by true Bayesian flow delay (TBE-FD), which focuses on the delay in each flow as well as the number of flows of the current transmission. 2016-03 Thesis http://shdl.mmu.edu.my/6893/ 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 Kamarul Hatta, Khairul Anwar Bayesian-Based Downlink Scheduling Algorithm for Long Term Evolution (LTE)
description	With the rising demand for faster internet connections for multimedia application features, LTE has been chosen as the medium of transmission to fulfil these demands. The need to handle multiple simultaneous users with real-time transmission containing either voice or audio is the challenge that LTE is now facing. Hence, this research is develop a new real-time oriented downlink scheduling algorithm with the capability of handling a multiple simultaneous user environment. A criterion-based (C-B) downlink scheduling algorithm is designed by incorporating a Bayesian information criterion (BIC) as the profit function of the algorithms. Criterion-based proportional fairness (C-BPF) is designed for the fairness focus, while another algorithm named criterion-based modified largest weighted delay first (C-BMLWDF), which adapts a profit function from an existing downlink scheduler, has also been developed. BIC is suitable for selection based on a set of criteria within a finite model. A new solution is found from the research, which leads to the use of a true Bayesian estimate (TBE) as the new solution’s profit function. TBE is capable of handling multivariate parameters in a large pool, which makes it better at solving multiple simultaneous user issues. Three TBE-based algorithms are created: true Bayesian estimate delay (TBE-D) focuses on delay prioritisation, true Bayesian estimate fairness (TBE-F) focuses on the fairness properties of the scheduling, and a balanced approach is made by true Bayesian flow delay (TBE-FD), which focuses on the delay in each flow as well as the number of flows of the current transmission.
format	Thesis
qualification_level	Master's degree
author	Kamarul Hatta, Khairul Anwar
author_facet	Kamarul Hatta, Khairul Anwar
author_sort	Kamarul Hatta, Khairul Anwar
title	Bayesian-Based Downlink Scheduling Algorithm for Long Term Evolution (LTE)
title_short	Bayesian-Based Downlink Scheduling Algorithm for Long Term Evolution (LTE)
title_full	Bayesian-Based Downlink Scheduling Algorithm for Long Term Evolution (LTE)
title_fullStr	Bayesian-Based Downlink Scheduling Algorithm for Long Term Evolution (LTE)
title_full_unstemmed	Bayesian-Based Downlink Scheduling Algorithm for Long Term Evolution (LTE)
title_sort	bayesian-based downlink scheduling algorithm for long term evolution (lte)
granting_institution	Multimedia University
granting_department	Faculty of Information Science and Technology
publishDate	2016
_version_	1747829642600906752

Bayesian-Based Downlink Scheduling Algorithm for Long Term Evolution (LTE)

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