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Resource Allocation Predictive Model for Micro-Mobility Networks

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Flynn, P and Lunney, TF (2005) Resource Allocation Predictive Model for Micro-Mobility Networks. In: The 6th Annual Postgraduate Symposium on the convergence of telecommunications, Networking and Broadcasting, Liverpool. UNSPECIFIED. 5 pp. [Conference contribution]

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Abstract

The next generation of access technology will ensure wireless connectivity to anyone at almost any location using wireless access technology. Fourth Generation (4G) is viewed by many as a communication technology that will allow one device to roam seamlessly over several different wireless technologies. While Mobile IP is an established Internet technology, it is a macro technology. There are a number of proposed micro-mobility protocols including Cellular IP and Hawaii. With device portability the communication device moves, with or without the user. Many mechanisms within the network and within the device have to make sure that communication is still possible while it is moving. Apart from signaling across the wired network, resources have to be employed to accurately track the mobile user. This tracking of the user is inefficient in terms of bandwidth and power consumption. A number of movement prediction methods to alleviate this problem have been proposed for cellular networks. In this paper we critically examine this location problem. Using simulation tools and actual mobile call trace data, we propose a new user location prediction model based not only on user historical movement but also on channel availability based on traffic trends and resource allocation.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
ID Code:8290
Deposited By:Dr Tom Lunney
Deposited On:19 Feb 2010 13:41
Last Modified:19 Feb 2010 13:41

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