Starts at: February 17, 2014 10:00 AM
Ends at: 1:00 PM
Location: ghc 8102
Wireless research and development requires effective and efficient simulation and emulation tools to validate and evaluate wireless designs. Wireless channel models are used in these tools to simulate signal propagation properties in the real physical world. However, due to practical issues, these models are often too generalized and simplified in large scale experiments, and they only provide limited realism.
A novel world model is presented in this thesis for simulation and emulation of wireless networks. The proposed model includes the design and implementation of a variety of environment models that enhance the realism in simulation.
These models capture realistic signal propagation properties across multiple connections, and over time: first, the impact of realistic physical world features, such as channel dynamics and cross link correlation are characterized at different time scales; then, both geometrical and statistical simulation models are developed to recreate desired channel dynamics among wireless network links efficiently.
Three major components of the world model will be presented: 1) a flexible channel simulation model, 2) improvement of parameter accuracy in geometric channel models, and 3) wireless link correlation models with a case study of vehicular networks.
The case study of vehicular networks illustrates the effectiveness of using the proposed environment model to improve the realism of wireless simulation and emulation platforms. Measurement data from physical world vehicle to vehicle channels are utilized as ground truth, and implemented simulation models are compared against the measurement data, showing good approximation to reality. The evaluation results of correlated channel models show improved realism in channel properties and corresponding impact on the performance of a gossip protocol.