Frame-based QoS-aware multicast resource management model for optimizing multicast service in long term evoluation and beyond networks

Long Term Evolution (LTE) network offers high throughput with low latency, clearly making it the best choice for multicast services such as; news broadcast, video conferencing, weather reports and much more. In Conventional Multicast Scheme (CMS), data is concurrently transmitted to multicast users...

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Main Author: Algharem, Mohammed Abdullah Ali
Format: Thesis
Language:eng
eng
eng
eng
Published: 2020
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https://etd.uum.edu.my/8653/4/s94166_references.docx
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spelling my-uum-etd.86532021-09-20T08:12:33Z Frame-based QoS-aware multicast resource management model for optimizing multicast service in long term evoluation and beyond networks 2020 Algharem, Mohammed Abdullah Ali Omar, Mohd. Hasbullah Rahmat, Budiarto Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts & Sciences T58.6-58.62 Management information systems Long Term Evolution (LTE) network offers high throughput with low latency, clearly making it the best choice for multicast services such as; news broadcast, video conferencing, weather reports and much more. In Conventional Multicast Scheme (CMS), data is concurrently transmitted to multicast users over the same channel using the lowest rate. As a result, the CMS performance is bind to the user with the lowest rate. Such scheme is unsatisfactory to users with stronger channels. Thus, an effective Multicast Resource Management (MRM) is needed to utilize all available bandwidth efficiently. This study aims to optimize the MRM policy by exploiting the multiuser diversity technique besides the multicast gain. A new Framed-based QoS-aware MRM (FQMRM) model with three main mechanisms was introduced. The first mechanism is used to enhance the CMS network by determining users who are expensive to cover. In this mechanism, the Opportunistic Multicast Scheme (OMS) is involved; thus, users with the best channel gain are firstly served, followed by cell edge users. The second and third mechanisms utilize the subgroup/layer formation by splitting multicast users into several subgroups. Each subgroup is served individually with a corresponding substream and rate in such a way that would maximize the multicast throughput. The FQ-MRM model uses dynamic programming with branch and bound technique to select the best subgroup configuration by considering video frame features and constraints, available resources, and queue status. These mechanisms were evaluated using LTE-Sim simulator. Simulation results show the throughput of the first, second and third mechanisms are 6.2%, 37%, and 18% respectively, which are better than the existing mechanisms in the literature. The results confirmed that the optimal subgroup configuration could be found within five subgroups only. Thus, the proposed mechanisms can improve multicast performance in LTE network. 2020 Thesis https://etd.uum.edu.my/8653/ https://etd.uum.edu.my/8653/1/Depositpermission_not%20allow_s94166.pdf text eng staffonly https://etd.uum.edu.my/8653/2/s94166_01.pdf text eng staffonly https://etd.uum.edu.my/8653/3/s94166_02.pdf text eng staffonly https://etd.uum.edu.my/8653/4/s94166_references.docx text eng public other doctoral Universiti Utara Malaysia
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
eng
eng
advisor Omar, Mohd. Hasbullah
Rahmat, Budiarto
topic T58.6-58.62 Management information systems
spellingShingle T58.6-58.62 Management information systems
Algharem, Mohammed Abdullah Ali
Frame-based QoS-aware multicast resource management model for optimizing multicast service in long term evoluation and beyond networks
description Long Term Evolution (LTE) network offers high throughput with low latency, clearly making it the best choice for multicast services such as; news broadcast, video conferencing, weather reports and much more. In Conventional Multicast Scheme (CMS), data is concurrently transmitted to multicast users over the same channel using the lowest rate. As a result, the CMS performance is bind to the user with the lowest rate. Such scheme is unsatisfactory to users with stronger channels. Thus, an effective Multicast Resource Management (MRM) is needed to utilize all available bandwidth efficiently. This study aims to optimize the MRM policy by exploiting the multiuser diversity technique besides the multicast gain. A new Framed-based QoS-aware MRM (FQMRM) model with three main mechanisms was introduced. The first mechanism is used to enhance the CMS network by determining users who are expensive to cover. In this mechanism, the Opportunistic Multicast Scheme (OMS) is involved; thus, users with the best channel gain are firstly served, followed by cell edge users. The second and third mechanisms utilize the subgroup/layer formation by splitting multicast users into several subgroups. Each subgroup is served individually with a corresponding substream and rate in such a way that would maximize the multicast throughput. The FQ-MRM model uses dynamic programming with branch and bound technique to select the best subgroup configuration by considering video frame features and constraints, available resources, and queue status. These mechanisms were evaluated using LTE-Sim simulator. Simulation results show the throughput of the first, second and third mechanisms are 6.2%, 37%, and 18% respectively, which are better than the existing mechanisms in the literature. The results confirmed that the optimal subgroup configuration could be found within five subgroups only. Thus, the proposed mechanisms can improve multicast performance in LTE network.
format Thesis
qualification_name other
qualification_level Doctorate
author Algharem, Mohammed Abdullah Ali
author_facet Algharem, Mohammed Abdullah Ali
author_sort Algharem, Mohammed Abdullah Ali
title Frame-based QoS-aware multicast resource management model for optimizing multicast service in long term evoluation and beyond networks
title_short Frame-based QoS-aware multicast resource management model for optimizing multicast service in long term evoluation and beyond networks
title_full Frame-based QoS-aware multicast resource management model for optimizing multicast service in long term evoluation and beyond networks
title_fullStr Frame-based QoS-aware multicast resource management model for optimizing multicast service in long term evoluation and beyond networks
title_full_unstemmed Frame-based QoS-aware multicast resource management model for optimizing multicast service in long term evoluation and beyond networks
title_sort frame-based qos-aware multicast resource management model for optimizing multicast service in long term evoluation and beyond networks
granting_institution Universiti Utara Malaysia
granting_department Awang Had Salleh Graduate School of Arts & Sciences
publishDate 2020
url https://etd.uum.edu.my/8653/1/Depositpermission_not%20allow_s94166.pdf
https://etd.uum.edu.my/8653/2/s94166_01.pdf
https://etd.uum.edu.my/8653/3/s94166_02.pdf
https://etd.uum.edu.my/8653/4/s94166_references.docx
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