Modeling Cognitive Radio Networks for Efficient Data Transfer Using Cloud Link

Abstract

Cognitive radio is a recent innovative technique to exploit the current limitations on spectrum scarcity. Defined from software defined radio, the cognitive users use the unused spectrum (spectrum holes) using various techniques to detect and efficiently allocate the unused spectrum. The process requires complex computations and many times software packages to be downloaded. This drains the battery power and panics the mobile users and other users with limited battery power. To meet the consequences, a new model called cognitive radio networks with cloud (CRNC) is introduced in this research. The proposed model eliminates the current problems in transmission of information and helps in the real-time process. Simulations were conducted with the proposed CRNC model and discussed the possible packet transfer.