Resource Allocation and Mobility Prediction Algorithms for Multimedia Wireless Cellular Networks

Among the issues the telecommunication industry is the demand for multimedia applications with Quality of Service (QoS) in wireless/mobile networks. In the face of this increasingly complex traffic mix, where each service imposes different requirements, QoS provisioning and guarantee for multimedia...

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Main Author:	Al-Sanabani, Maher Ali
Format:	Thesis
Language:	English English
Published:	2008
Subjects:	Radio resource management (Wireless communications). Wireless communication systems. Multimedia communications.
Online Access:	http://psasir.upm.edu.my/id/eprint/5230/1/FSKTM_2008_7a.pdf
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spelling	my-upm-ir.52302013-05-27T07:21:19Z Resource Allocation and Mobility Prediction Algorithms for Multimedia Wireless Cellular Networks 2008 Al-Sanabani, Maher Ali Among the issues the telecommunication industry is the demand for multimedia applications with Quality of Service (QoS) in wireless/mobile networks. In the face of this increasingly complex traffic mix, where each service imposes different requirements, QoS provisioning and guarantee for multimedia services have become increasingly important. This is partially due to the users' requirements and poses a difficult challenge for network service providers. The tasks are more challenging than those in the wired networks due to the shortage of resources and the mobility present in wireless networks. The mobility factor causes severe fluctuations of resource usage. In this research, the QoS provisioning and resource utilization for multimedia services in wireless/mobile networks aspects are addressed. The first proposed scheme is called Adaptive Multi-Class Services Controller scheme (AMCSC). This scheme harnesses the combinations of Call Admission Control (CAC), an Adaptive Bandwidth Allocation (ABA) algorithm with micro-Acceptable Bandwidth Level (micro-ABL) and the Connection Management Table (CMT). The specific objective in designing the AMCSC Scheme is to reduce the New Connection Blocking Probability (NCBP) and the Handoff Connection Dropping Probability (HCDP) by managing resource allocation to address. The insufficient resource problem is experienced by the MTs. This scheme supports multiple classes of non-adaptive and adaptive multimedia services with diverse QoS requirements. The second proposed scheme is a bandwidth reservation scheme based on Mobility Prediction Scheme (MPS). Two proposed MPSs are deployed to predict the mobility movement of mobiles. The first MPS obtains the user mobility information by Received Signal Strength (RSS) which also includes the direction of the MT. This is enhanced based also on the position of the MT within a sector and zones of the cell. The second MPS obtains the user mobility information using the road map information of the cell and the integrated RSS and Global Position System (GPS) measurements. The simulation results show that the proposed scheme enhances the estimation of the target cell. This shown by the reduction of the signalling traffic in wireless cellular networks, reduction of the number of terminated ongoing calls of non-real time traffic and reduction of the number of cancelled reservation due to false reservation. The third proposed framework is an integration of the AMCSC scheme and the bandwidth reservation done based on the MPS. This integration is used to achieve the ideal balance between the users' QoS guarantee of multiple classes of wireless multimedia and maximizing the bandwidth utilization. The performance result of the proposed framework has proven to improve the achieved performance metrics. The performances analysis in this research is discrete simulation. The proposed schemes have proven to enhance the performance in terms of NCBP and HCDP for each type of traffic, management the resource for multiple traffics with diverse requirement, bandwidth utilization and predicting the target cell in the right time and place. Radio resource management (Wireless communications). Wireless communication systems. Multimedia communications. 2008 Thesis http://psasir.upm.edu.my/id/eprint/5230/ http://psasir.upm.edu.my/id/eprint/5230/1/FSKTM_2008_7a.pdf application/pdf en public phd doctoral Universiti Putra Malaysia Radio resource management (Wireless communications). Wireless communication systems. Multimedia communications. Computer Science and Information Technology English
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English English
topic	Radio resource management (Wireless communications). Wireless communication systems. Multimedia communications.
spellingShingle	Radio resource management (Wireless communications). Wireless communication systems. Multimedia communications. Al-Sanabani, Maher Ali Resource Allocation and Mobility Prediction Algorithms for Multimedia Wireless Cellular Networks
description	Among the issues the telecommunication industry is the demand for multimedia applications with Quality of Service (QoS) in wireless/mobile networks. In the face of this increasingly complex traffic mix, where each service imposes different requirements, QoS provisioning and guarantee for multimedia services have become increasingly important. This is partially due to the users' requirements and poses a difficult challenge for network service providers. The tasks are more challenging than those in the wired networks due to the shortage of resources and the mobility present in wireless networks. The mobility factor causes severe fluctuations of resource usage. In this research, the QoS provisioning and resource utilization for multimedia services in wireless/mobile networks aspects are addressed. The first proposed scheme is called Adaptive Multi-Class Services Controller scheme (AMCSC). This scheme harnesses the combinations of Call Admission Control (CAC), an Adaptive Bandwidth Allocation (ABA) algorithm with micro-Acceptable Bandwidth Level (micro-ABL) and the Connection Management Table (CMT). The specific objective in designing the AMCSC Scheme is to reduce the New Connection Blocking Probability (NCBP) and the Handoff Connection Dropping Probability (HCDP) by managing resource allocation to address. The insufficient resource problem is experienced by the MTs. This scheme supports multiple classes of non-adaptive and adaptive multimedia services with diverse QoS requirements. The second proposed scheme is a bandwidth reservation scheme based on Mobility Prediction Scheme (MPS). Two proposed MPSs are deployed to predict the mobility movement of mobiles. The first MPS obtains the user mobility information by Received Signal Strength (RSS) which also includes the direction of the MT. This is enhanced based also on the position of the MT within a sector and zones of the cell. The second MPS obtains the user mobility information using the road map information of the cell and the integrated RSS and Global Position System (GPS) measurements. The simulation results show that the proposed scheme enhances the estimation of the target cell. This shown by the reduction of the signalling traffic in wireless cellular networks, reduction of the number of terminated ongoing calls of non-real time traffic and reduction of the number of cancelled reservation due to false reservation. The third proposed framework is an integration of the AMCSC scheme and the bandwidth reservation done based on the MPS. This integration is used to achieve the ideal balance between the users' QoS guarantee of multiple classes of wireless multimedia and maximizing the bandwidth utilization. The performance result of the proposed framework has proven to improve the achieved performance metrics. The performances analysis in this research is discrete simulation. The proposed schemes have proven to enhance the performance in terms of NCBP and HCDP for each type of traffic, management the resource for multiple traffics with diverse requirement, bandwidth utilization and predicting the target cell in the right time and place.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Al-Sanabani, Maher Ali
author_facet	Al-Sanabani, Maher Ali
author_sort	Al-Sanabani, Maher Ali
title	Resource Allocation and Mobility Prediction Algorithms for Multimedia Wireless Cellular Networks
title_short	Resource Allocation and Mobility Prediction Algorithms for Multimedia Wireless Cellular Networks
title_full	Resource Allocation and Mobility Prediction Algorithms for Multimedia Wireless Cellular Networks
title_fullStr	Resource Allocation and Mobility Prediction Algorithms for Multimedia Wireless Cellular Networks
title_full_unstemmed	Resource Allocation and Mobility Prediction Algorithms for Multimedia Wireless Cellular Networks
title_sort	resource allocation and mobility prediction algorithms for multimedia wireless cellular networks
granting_institution	Universiti Putra Malaysia
granting_department	Computer Science and Information Technology
publishDate	2008
url	http://psasir.upm.edu.my/id/eprint/5230/1/FSKTM_2008_7a.pdf
_version_	1747810379025612800

Resource Allocation and Mobility Prediction Algorithms for Multimedia Wireless Cellular Networks

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