Research Supervisor Connect
Unlike the wired Internet, the wireless world has a limited amount of links to distribute. Consequently, the traditional regulation of spectrum requires a fundamental reform in order to allow for more efficient and creative use of the precious resource of the airwaves. Cognitive radio and its particular version of dynamic spectrum access are promising techniques to increase the efficiency of spectrum utilization. They allow un-licensed users to coexist in licensed bands. Dynamic spectrum access senses transmission in a particular licensed frequency band, identifies unused radio spectrum and leaves it when the incumbent radio system is ready to transmit. In this project we will we will develop dynamic spectrum access techniques for cognitive multi-hop local area networks and establish a general framework for the theory and design of multi-hop cognitive networks. We will address several crucial challenges in designing a multi-hop cognitive network with a potential to achieve significant advances in spectrum utilization and management. This project aims to apply graph theories, such as random geometric graphs and evolving graphs, to investigate on these network properties and their relations to other network conditions such as network density and energy constraint. The research results will contribute to the design and implementation of wireless multi-Hop cognitive radio networks.
Professor Yonghui Li, Professor Branka Vucetic.
Electrical and Computer Engineering
PHD
Unlike the wired Internet, the wireless world has a limited amount of links to distribute. Consequently, the traditional regulation of spectrum requires a fundamental reform in order to allow for more efficient and creative use of the precious resource of the airwaves. Cognitive radio and its particular version of dynamic spectrum access are promising techniques to increase the efficiency of spectrum utilization. They allow un-licensed users to coexist in licensed bands. Dynamic spectrum access senses transmission in a particular licensed frequency band, identifies unused radio spectrum and leaves it when the incumbent radio system is ready to transmit. In this project we will we will develop dynamic spectrum access techniques for cognitive multi-hop local area networks and establish a general framework for the theory and design of multi-hop cognitive networks. We will address several crucial challenges in designing a multi-hop cognitive network with a potential to achieve significant advances in spectrum utilization and management. This project aims to apply graph theories, such as random geometric graphs and evolving graphs, to investigate on these network properties and their relations to other network conditions such as network density and energy constraint. The research results will contribute to the design and implementation of wireless multi-Hop cognitive radio networks.
The opportunity ID for this research opportunity is 646