Type of Document Dissertation Author Feng, Zhenhua Author's Email Address firstname.lastname@example.org URN etd-01132011-191309 Title Cross-Layer Optimization and Distributed Algorithm Design for Frequency-Agile Radio Networks Degree PhD Department Electrical and Computer Engineering Advisory Committee
Advisor Name Title Yang, Yaling Committee Chair Bish, Douglas R. Committee Member Hou, Yiwei Thomas Committee Member MacKenzie, Allen B. Committee Member Reed, Jeffrey Hugh Committee Member Keywords
- cognitive radios
- wireless networks
- dynamic spectrum access
- cross-layer design
- distributed design
Date of Defense 2010-11-19 Availability restricted AbstractRecent advancements in frequency-agile radio technology and dynamic spectrum access network
have created a huge space for improving the utilization efficiency of wireless spectrum.
Existing algorithms and protocols, however, have not taken full advantage of the new
technologies due to obsolete network design ideologies inherited from conventional network
design, such as static spectrum access and static channelization. In this dissertation, we
propose new resource management models and algorithms that capitalize on the frequencyagility
of next generation radios and the dynamic spectrum access concepts to increase the
utilization efficiency of wireless spectrum.
We first propose a new analytical model for Dynamic Spectrum Access (DSA) networks.
Compared to previous models, the new model is able to include essential DSA mechanisms
such as spectrum sensing and primary interference avoidance into solid mathematical representation
and thus drastically increase the accuracy of our model. The subsequent numerical
study conforms well with existing empirical studies and provides fundamental insights on
the design of future DSA networks.
We then take advantage of partially overlapped channel in frequency-agile radio networks
and propose simple joint channel scheduling and flow routing optimization algorithm that
maximizes network throughput. The model quantifies the impact of fundamental network
settings, such as node density and traffic load, on the performance of partially overlapped
channel based networks.
We then propose a cross-layer radio resource allocation algorithm JSSRC (Joint Spectrum
Sharing and end-to-end data Rate Control) that iteratively adapts a frequency-agile radio
network to optimum with regard to aggregate network spectrum utilization. Subsequently,
we extend JSSRC to include routing and present TRSS (joint Transport, Routing and Spectrum
Sharing) to solve the much more complex joint transport, routing and spectrum sharing
optimization problem. Both JSSRC and TRSS enjoy theoretical convergence and achieve
optimum with appropriate scheduling algorithms.
The works together strive to improve efficiency of spectrum utilization in frequency-agile
radio networks. Numerical and simulation studies show the effectiveness of our designs to
reduce the so-called spectrum shortage problem.
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