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Algorithmic aspects of resource allocation in cognitive radio wireless networks

Posted on:2014-04-03Degree:Ph.DType:Dissertation
University:Montana State UniversityCandidate:Judson, Ivan RossFull Text:PDF
GTID:1458390005990175Subject:Computer Science
Abstract/Summary:
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. Sucient capacity for divergent wireless applications, along with their growing users, calls for a more ecient 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 signicantly 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 ecient solution to the channel rental problem: nding the most cost-eective 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.
Keywords/Search Tags:Wireless, Network, Algorithm, Resource, Allocation, Internet, Topology
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