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Resource assignment for adaptively modulated interconnected WLANs

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Resource assignment for adaptively modulated interconnected WLANs

Ghosh, Amiotosh (2008) Resource assignment for adaptively modulated interconnected WLANs. Masters thesis, Concordia University.

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Abstract

Deployment of large wireless local area network (WLAN) in outdoor environment to provide broadband wireless access (BWA) is gaining more attention. Although several standards have been developed for this purpose numerous research and development is going on to improve the performance of the standards. Management of the wireless resource is one of the key ingredients for providing BWA to the users and total number of serviceable users in a certain area. In this thesis we investigate WLANs performance in a metropolitan area using HiperLAN type 2 standard. Inside the LANs user can move from one place to another and user rates are dynamically adjusted based on their distance from the Access Points. To manage the wireless resources of the network we propose resource allocation schemes and evaluate their performance. We develop a generic simulation software for the network and use it for three resource allocation policies namely Minimum Overhead Round Robin (MORR), which does not depend on user's buffer condition, Weighted Minimum Overhead Round Robin (WMORR) which is a function of user buffer as well as the waiting time for transmission opportunity and Weighted Round Robin (WRR) which is a function of user buffer only. We evaluate average buffer occupancy, packet delivery time, buffer packet drop probability, overhead in downlink and uplink phases for performance comparison of the new allocation schemes. Our results show that the second adaptive resource allocation technique i.e. WMORR outperforms the other two

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Thesis (Masters)
Authors:Ghosh, Amiotosh
Pagination:xiii,108 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Electrical and Computer Engineering
Date:2008
Thesis Supervisor(s):Elhakeem, Ahmed K
ID Code:976075
Deposited By: Concordia University Library
Deposited On:22 Jan 2013 16:19
Last Modified:18 Jan 2018 17:41
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