Algorithmic aspects of resource allocation in cognitive radio wireless networks
dc.contributor.advisor | Chairperson, Graduate Committee: Brendan Mumey | en |
dc.contributor.author | Judson, Ivan Ross | en |
dc.date.accessioned | 2014-05-21T20:55:46Z | |
dc.date.available | 2014-05-21T20:55:46Z | |
dc.date.issued | 2013 | en |
dc.description.abstract | Wireless networking is a critical component of today's internet infrastructure. Two examples of important wireless internet infrastructure are long distance network backbone links and last-mile solutions to remote areas. Wireless technology already supplies a wide variety of consumer solutions including analog television channels (TVWS), cellular infrastructure for massive scale real-time communication, and computer networking for seamless global connectivity. Worldwide, there are an estimated 2.5B internet users and 6B cellular phone subscribers- and those numbers are steadily growing. Sufficient capacity for divergent wireless applications, along with their growing users, calls for a more efficient use of bandwidth. We present multiple resource allocation algorithms to address this challenge in various aspects of wireless networking. Each algorithm focuses on a single resource of wireless networking: antenna beam sector activation, directional antenna beam bearings and duration, joint routing and channel selection, and link-channel allocation. In terms of computation and memory, our topology control algorithms provide near optimal performance with significantly lower cost. For each algorithm, a rich set of simulation scenarios is presented that compare our novel algorithms performance to the optimal solution. Ultimately, we present a topology control algorithm that provides an efficient solution to the channel rental problem: finding the most cost-effective set of communication channels (for a wireless mesh network) at a minimum performance guarantee. This problem occurs in high-density traditional wireless networking, cellular networking, and rural sparse networking with last mile internet connectivity; topology control algorithms are well suited for all applications of wireless technology. These algorithms are shown to be robust against various network challenges including topology, frequency availability, and interference. | en |
dc.identifier.uri | https://scholarworks.montana.edu/handle/1/3014 | en |
dc.language.iso | en | en |
dc.publisher | Montana State University - Bozeman, College of Engineering | en |
dc.rights.holder | Copyright 2013 by Ivan Ross Judson | en |
dc.subject.lcsh | Cognitive radio networks | en |
dc.subject.lcsh | Radio resource management (Wireless communications) | en |
dc.subject.lcsh | Algorithms | en |
dc.title | Algorithmic aspects of resource allocation in cognitive radio wireless networks | en |
dc.type | Dissertation | en |
thesis.catalog.ckey | 2531531 | en |
thesis.degree.committeemembers | Members, Graduate Committee: Binhai Zhu; Rockford J. Ross; Richard Wolff | en |
thesis.degree.department | Computer Science. | en |
thesis.degree.genre | Dissertation | en |
thesis.degree.name | PhD | en |
thesis.format.extentfirstpage | 1 | en |
thesis.format.extentlastpage | 145 | en |
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