Resource Allocation Predictive Model for Micro-Mobility Networks

P Flynn, TF Lunney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
LanguageEnglish
Title of host publicationUnknown Host Publication
Place of PublicationLiverpool
Pages501-504
Number of pages5
Publication statusPublished - Jun 2005
EventThe 6th Annual Postgraduate Symposium on the convergence of telecommunications, Networking and Broadcasting - Liverpool
Duration: 1 Jun 2005 → …

Conference

ConferenceThe 6th Annual Postgraduate Symposium on the convergence of telecommunications, Networking and Broadcasting
Period1/06/05 → …

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Resource allocation
Communication
Macros
Electric power utilization
Availability
Internet
Bandwidth
Network protocols

Cite this

Flynn, P., & Lunney, TF. (2005). Resource Allocation Predictive Model for Micro-Mobility Networks. In Unknown Host Publication (pp. 501-504). Liverpool.
Flynn, P ; Lunney, TF. / Resource Allocation Predictive Model for Micro-Mobility Networks. Unknown Host Publication. Liverpool, 2005. pp. 501-504
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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.",
author = "P Flynn and TF Lunney",
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Flynn, P & Lunney, TF 2005, Resource Allocation Predictive Model for Micro-Mobility Networks. in Unknown Host Publication. Liverpool, pp. 501-504, The 6th Annual Postgraduate Symposium on the convergence of telecommunications, Networking and Broadcasting, 1/06/05.

Resource Allocation Predictive Model for Micro-Mobility Networks. / Flynn, P; Lunney, TF.

Unknown Host Publication. Liverpool, 2005. p. 501-504.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - 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.

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Flynn P, Lunney TF. Resource Allocation Predictive Model for Micro-Mobility Networks. In Unknown Host Publication. Liverpool. 2005. p. 501-504