Abstract: The wireless technology is applied in developing various applications in different trust areas. Due to this there is a huge demand for the spectrum band. The available spectrum can be shared among the primary users and the secondary users. The spectrum is utilized by the secondary user on rental basis. In this competitive world, the primary users provide a good quality for services to the end users for retaining the spectrum band. The pricing is one of the vital components in Cognitive Radio Networks (CRN) for owning/renting the spectrum. The spectrum is utilized by the secondary users when the spectrum is in idle state. This research work focuses on the spectrum pricing for the secondary users based on the price paid by the primary user. The primary users generate revenue, the same price is utilized for maintenance or annual fees which is to be paid to the governance of telecommunication department. The pricing and trading issues is one of the research areas for allocating the spectrum to the primary users. This research work focuses on providing spectrum to the secondary users with the minimal price for utilization during the specified time. The work highlights the open fact that there is a huge scarcity of the spectrum and the price are high, and not affordable to the individuals. Hence primary users lease/rent out the idle bandwidth for the secondary user. To utilize the spectrum for a dedicated period of time the secondary user has to pay the usage charges to the primary user. In this research work, various methods are presented for determining the price for the secondary users. The pricing components are analyzed by adapting the one-way Anova which compares the values among the groups. The results indicates that all the group means are not same and they are independent variables.

Reshma C R and Arun kumar B. R, “Spectrum Pricing in Cognitive Radio Networks: An Analysis” International Journal of Advanced Computer Science and Applications(IJACSA), 13(3), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130307

@article{R2022,
title = {Spectrum Pricing in Cognitive Radio Networks: An Analysis},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130307},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130307},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {3},
author = {Reshma C R and Arun kumar B. R}
}