Title :
Modeling Cognitive Radio Networks for Efficient Data Transfer Using Cloud Link
Author :
Reddy, Yenumula B. ; Ellis, S.
Author_Institution :
Dept. of Comput. Sci., Grambling State Univ., Grambling, LA, USA
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.
Keywords :
cloud computing; cognitive radio; mobile computing; radio networks; radio spectrum management; software packages; software radio; CRNC model; battery power; cloud link; cognitive radio network with cloud modeling; data transfer; information transmission; innovative technique; mobile users; packet transfer; real-time process; software defined radio; software packages; spectrum scarcity; unused spectrum allocation; unused spectrum detection; Batteries; Cloud computing; Cognitive radio; Computational modeling; Databases; Real-time systems; Sensors; cloud application; cognitive radio network; communication path; dynamic spectrum access; hidden terminal;
Conference_Titel :
Information Technology: New Generations (ITNG), 2013 Tenth International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-0-7695-4967-5
DOI :
10.1109/ITNG.2013.87