Abstract
D.Phil. (Engineering Management)
This thesis deals with computation of pricing policies to maximize the profit of a Telecommunication
Regulator using Dynamic Spectrum Utilization Technology.
In order to improve the spectrum utilization, a Telecommunication Regulator suggests the migration
from Static to Dynamic Spectrum Utilization.
Some studies were conducted to analyze the dynamic spectrum utilization models and architectures
and then obtain all the necessary informations on the interactions between the spectrum
owner and the spectrum users and the interactions between spectrum users accessing spectrum.
Game Theory was used to rigorously analyze such interactions and then a Stochastic Differential
Stackelberg Game model was developed.
Stochastic Optimal Control Theory was used to investigate the obtained Game Theory model.
By considering price as a stochastic control variable, numerical and computational pricing
strategies were computed to approximate the pricing policy maximizing the Telecommunication
Regulator profit under certain hypothesis.
Since, the Telecommunication Regulator must always dream big, to manage the interactions
between the spectrum scarcity and the demand increase from users, to deal with the fact that
demand may be superior to supply, auction was suggested and investigated. Some optimal auction
design and optimal bidding strategies were presented...