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Optimizing Network Access Selection in Wireless Heterogeneous Networks using Velocity, Location, Policy and Qos Details

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Optimizing Network Access Selection in Wireless Heterogeneous Networks using Velocity, Location, Policy and Qos Details

Francis, Xavier (2009) Optimizing Network Access Selection in Wireless Heterogeneous Networks using Velocity, Location, Policy and Qos Details. Masters thesis, Concordia University.

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Abstract

As the interest in 4G communication systems continues to grow, both academia and industry agree that a symbiotic relationship between various wireless systems is required to provide continuous broadband coverage to mobile users. It is generally accepted that a single wireless access technology alone will be incapable of meeting the various requirements of mobility, data rate and coverage in the future. Future wireless systems are envisioned as being heterogeneous in that they will include a combination of various wireless access technologies such as 3G, WLAN, and WiMAX and will have a common IP core. To fully utilize the various resources and maintain seamless connectivity in the future heterogeneous wireless environment, intelligent handoff schemes that are flexible, scalable and proactive are essential. Therefore, a new handoff decision method, one that works in a novel business model--Heterogeneous Wireless Service Provider (HWSP)--was developed with an aim to improve the mobile user's user experience. More effort was spent to achieve a good level of user satisfaction, by making the entire selection process automatic, and the user oblivious of the underlying network selection intricacies. The algorithm is able to make the final network decision, based on any particular user's speed, location, QoS demands and preference policies. This allows the algorithm to prevent unwanted handoffs and reduce the cost associated with connecting to suboptimal networks.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Thesis (Masters)
Authors:Francis, Xavier
Pagination:xiii, 75 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M. Comp. Sc.
Program:Computer Science and Software Engineering
Date:2009
Thesis Supervisor(s):Atwood, J. William
ID Code:976456
Deposited By: Concordia University Library
Deposited On:22 Jan 2013 16:26
Last Modified:18 Jan 2018 17:42
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