Siberian Federal University 
- Issue
- Journal of Siberian Federal University. Engineering & Technologies. 2018 11 (6)
- Authors
- Oloyede, Abdulkarim Ayopo
- Contact information
- Oloyede, Abdulkarim: Department of Telecommunication Science University of Ilorin Ilorin, Nigeria,
- Keywords
- spectrum auction; dynamic spectrum access; learning based auction; utility function
- Abstract
An auction based bid learning process for cognitive radio networks, where the users and the service providers are learning about each other to maximise each other’s utility is examined. A game model is formulated to allow players to learn depending on their priority. This enables users to learn different parameters such as the best offered bid price and the appropriate time to participate in the auction process. The performance of the system is examined based on the developed utility function. The results show that the blocking probability, utility function and the energy consumed is better with the learning users when compared to the non-learning users. Results also show that provided learning is taking place in the system, Nash Equilibrium can be established
- Pages
- 694-710
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/72119
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).