Algorithmic aspects of resource allocation in cognitive radio wireless networks.

详细信息   

• 作者：Judson ; Ivan Ross.
• 学历：Doctor
• 年：2013
• 毕业院校：Montana State University
• Department：Computer Science.
• ISBN：9781303671302
• CBH：3608733
• Country：USA
• 语种：English
• FileSize：3588922
• Pages：160

文摘

Wireless networking is a critical component of todays 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.