Radio access technology selection strategies in next generation wireless networks

Al Sabbagh, A

Radio access technology selection strategies in next generation wireless networks

Al Sabbagh, A

Permalink

Publication Type:: Thesis
Issue Date:: 2013

Closed Access

	Filename	Description	Size
	01front.pdf	contents and abstract	291.56 kB	Adobe PDF	View/Open
	02whole.pdf	thesis	2.15 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Al Sabbagh, A
dc.date.accessioned	2014-12-11T04:24:27Z
dc.date.available	2014-12-11T04:24:27Z
dc.date.issued	2013
dc.identifier.uri	http://hdl.handle.net/10453/30535
dc.description	University of Technology, Sydney. Faculty of Engineering and Information Technology.	en_US
dc.description	NO FULL TEXT AVAILABLE. Access is restricted indefinitely. The hardcopy may be available for consultation at the UTS Library.
dc.description.abstract	Next Generation Wireless Networks (NGWNs) are expected to be heterogeneous networks which integrate all different Radio Access Technologies (RATs) through a common platform. A major challenge is how to allocate users to the most suitable RAT for them. An optimized solution can maximize the efficient use of radio resources, achieve better performance for service providers and provide Quality of Service (QoS) with low costs to users. Current Radio Resource Management (RRM) is implemented efficiently for homogeneous networks such as GSM/EDGE Radio Access Network (GERAN) and UMTS Terrestrial Radio Access Network (UTRAN). However, RRM is not suitable for heterogeneous networks. Common RRM (CRRM) was proposed to manage radio resource utilization in the heterogeneous wireless network. RAT selection algorithms are part of the CRRM algorithms. Simply, their role is to verify if a new or handover (HO) incoming call will be suitable to fit into a heterogeneous wireless network, and to decide which of the available RATs is most suitable to fit the need of the incoming call and admit it. Guaranteeing the requirements of QoS for all accepted calls and at the same time being able to provide the most efficient utilization of the available radio resources is the goal of the RAT selection algorithm. The RAT selection algorithm can be implemented in one of three different approaches: centralized, distributed (terminal controlled) or hybrid (terminal controlled with network assistance). A centralized RAT selection algorithm has the benefit of considering more criteria in making the RAT selection decision. However, it reduces network capacity. A distributed RAT selection algorithm has the benefit of allowing User Terminals (UTs) to select the most efficient RAT that maximizes the users’ satisfaction and has the benefit of minimizing the management workload in the network equipment by distributing some of them to the UTs. However, it will lead to inefficient radio resource utilization as users do not have the required information about cell load and network policies and preferences. This problem can be solved by using a terminal controlled RAT selection algorithm with network assistance, where the network will assist the Uts in making the RAT selection decision by providing information related to the network. This thesis proposes an innovative Smart Mobile Communication approach which consists of four intelligent hybrid algorithms to allow users with smart devices to select their preferences for new or vertical HO (VHO) calls which vary between choosing best QoS, cheapest cost, power efficiency or mobility optimization connections. The proposed approach is simulated in multi-access scenarios and analytically evaluated in a multi-dimensional Markov chain model which has been developed for this purpose and then compared with centralized and distributed algorithms. Simulation and analytical results show that the proposed algorithms are more efficient than the centralized and distributed algorithms.	en_US
dc.format	Thesis (PhD)	en_US
dc.language.iso	en	en_US
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Radio access technology selection strategies in next generation wireless networks	en_US
dc.type	Thesis
utslib.copyright.status	closed_access

Abstract:

Next Generation Wireless Networks (NGWNs) are expected to be heterogeneous networks which integrate all different Radio Access Technologies (RATs) through a common platform. A major challenge is how to allocate users to the most suitable RAT for them. An optimized solution can maximize the efficient use of radio resources, achieve better performance for service providers and provide Quality of Service (QoS) with low costs to users. Current Radio Resource Management (RRM) is implemented efficiently for homogeneous networks such as GSM/EDGE Radio Access Network (GERAN) and UMTS Terrestrial Radio Access Network (UTRAN). However, RRM is not suitable for heterogeneous networks. Common RRM (CRRM) was proposed to manage radio resource utilization in the heterogeneous wireless network. RAT selection algorithms are part of the CRRM algorithms. Simply, their role is to verify if a new or handover (HO) incoming call will be suitable to fit into a heterogeneous wireless network, and to decide which of the available RATs is most suitable to fit the need of the incoming call and admit it. Guaranteeing the requirements of QoS for all accepted calls and at the same time being able to provide the most efficient utilization of the available radio resources is the goal of the RAT selection algorithm. The RAT selection algorithm can be implemented in one of three different approaches: centralized, distributed (terminal controlled) or hybrid (terminal controlled with network assistance). A centralized RAT selection algorithm has the benefit of considering more criteria in making the RAT selection decision. However, it reduces network capacity. A distributed RAT selection algorithm has the benefit of allowing User Terminals (UTs) to select the most efficient RAT that maximizes the users’ satisfaction and has the benefit of minimizing the management workload in the network equipment by distributing some of them to the UTs. However, it will lead to inefficient radio resource utilization as users do not have the required information about cell load and network policies and preferences. This problem can be solved by using a terminal controlled RAT selection algorithm with network assistance, where the network will assist the Uts in making the RAT selection decision by providing information related to the network. This thesis proposes an innovative Smart Mobile Communication approach which consists of four intelligent hybrid algorithms to allow users with smart devices to select their preferences for new or vertical HO (VHO) calls which vary between choosing best QoS, cheapest cost, power efficiency or mobility optimization connections. The proposed approach is simulated in multi-access scenarios and analytically evaluated in a multi-dimensional Markov chain model which has been developed for this purpose and then compared with centralized and distributed algorithms. Simulation and analytical results show that the proposed algorithms are more efficient than the centralized and distributed algorithms.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/30535