Title page for ETD etd-01132011-191309


Type of Document Dissertation
Author Feng, Zhenhua
Author's Email Address zhenhua@vt.edu
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
Abstract
Recent 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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