Resource allocation algorithm using directional antennas in WiMAX

dc.contributor.advisorChairperson, Graduate Committee: Brendan Mumeyen
dc.contributor.authorGurdasani, Neerajen
dc.date.accessioned2013-06-25T18:37:33Z
dc.date.available2013-06-25T18:37:33Z
dc.date.issued2009en
dc.description.abstractThis paper discusses different algorithms to create directional antenna patterns in OPNET Modeler. We describe algorithms to create conical and pencil beam antenna patterns. We also present a version of this algorithm that creates antenna patterns whose gain follows a cosine squared curve. We have also implemented tracking in OPNET to utilize these directional antenna patterns. These algorithms can be used to create antenna patterns for any wireless technology in OPNET such as WiFi and WiMAX. This paper also discusses an integer linear programming (ILP) formulation for a resource allocation problem. This is a centralized optimization algorithm where the base station decides which subscriber station will be assigned to which relay station in the network such that the throughput of the entire network is maximized. We present some simulation results showing 10Mbps improved throughput using directional antennas with the assignment strategy. This is a centralized algorithm and can be used in any technology that has a centralized resource allocation scheme such as WiMAX.en
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/1399en
dc.language.isoenen
dc.publisherMontana State University - Bozeman, College of Engineeringen
dc.rights.holderCopyright 2009 by Neeraj Gurdasanien
dc.subject.lcshWireless communication systemsen
dc.subject.lcshAntenna radiation patternsen
dc.subject.lcshRelay control systemsen
dc.titleResource allocation algorithm using directional antennas in WiMAXen
dc.typeThesisen
thesis.catalog.ckey1538324en
thesis.degree.committeemembersMembers, Graduate Committee: Richard Wolff; Jian Tangen
thesis.degree.departmentComputer Science.en
thesis.degree.genreThesisen
thesis.degree.nameMSen
thesis.format.extentfirstpage1en
thesis.format.extentlastpage112en

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
GurdasaniN1209.pdf
Size:
1.4 MB
Format:
Adobe Portable Document Format
Copyright (c) 2002-2022, LYRASIS. All rights reserved.