RESOURCES ALLOCATION IN COGNITIVE RADIO NETWORKS BASED ON GAME THEORY
Mohammed Mohammed El-Bayoumi;
Abstract
Abstract
This thesis investigates the problem of resource allocation available in the Cognitive Radio Network (CRN) operation scenario to the existing users whether they are primary or secondary users. This allocation of resources should be done in a manner such that to optimize the usage of the electro- magnetic spectrum. In order to achieve this purpose, we adopted game the- oretic approach that fits the scenario of operation and can provide optimized solution. Game theory is the formal study of decision making among multiple decision makers either on a conflict basis or even cooperative basis.
First, we make a brief review on the multi-objective optimization techniques in general. Afterwards, we introduce the basic concepts a CRN along with some of the main definitions and methods of application. We focus in our presentation on the game theory and its different classes applicable in CRNs. We demonstrate as well the main definitions and theorems which shall be used throughout the thesis such as "potential game" and "Stackelberg game", ... etc.
The thesis, then, focuses on some examples of previous works as well as a study of their simulation results were studied in details and a certain scenario which is the potential and Stackelberg games was chosen to start our develop- ment on. As a starting point, simulations of the selected works were conducted using Matlab and compared to the original simulation results to make sure that we are on the right track.
This thesis investigates the problem of resource allocation available in the Cognitive Radio Network (CRN) operation scenario to the existing users whether they are primary or secondary users. This allocation of resources should be done in a manner such that to optimize the usage of the electro- magnetic spectrum. In order to achieve this purpose, we adopted game the- oretic approach that fits the scenario of operation and can provide optimized solution. Game theory is the formal study of decision making among multiple decision makers either on a conflict basis or even cooperative basis.
First, we make a brief review on the multi-objective optimization techniques in general. Afterwards, we introduce the basic concepts a CRN along with some of the main definitions and methods of application. We focus in our presentation on the game theory and its different classes applicable in CRNs. We demonstrate as well the main definitions and theorems which shall be used throughout the thesis such as "potential game" and "Stackelberg game", ... etc.
The thesis, then, focuses on some examples of previous works as well as a study of their simulation results were studied in details and a certain scenario which is the potential and Stackelberg games was chosen to start our develop- ment on. As a starting point, simulations of the selected works were conducted using Matlab and compared to the original simulation results to make sure that we are on the right track.
Other data
| Title | RESOURCES ALLOCATION IN COGNITIVE RADIO NETWORKS BASED ON GAME THEORY | Other Titles | تخصيص الموارد في شبكات الراديو الادراكي بناء على نظرية المباراة | Authors | Mohammed Mohammed El-Bayoumi | Issue Date | 2017 |
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