Cloud Computing Based Cognitive Radio Networking

Cloud computing cognitive radios network security cognitive radio networks 1.

Cloud computing based cognitive radio networking.

With the rapid development of cognitive radios spectrum efficiency in cognitive radio networks crn has increased by secondary users su accessing the licensed spectrum dynamically and opportunistically without creating harmful interference to primary users. Download citation constraints mitigation in cognitive radio networks using cloud computing one of the most supportive technologies in enhancing the bandwidth utilization of the next generation. This chapter describes state of the art techniques to improve performance of spectrum sensing and spectrum management in cognitive radio networks crn by leveraging services available in cloud computing platforms. In cognitive radio networks crn secondary users sus are required to detect the presence of the licensed users known as primary users pus and to find spectrum holes for opportunistic spectrum access without causing harmful interference to pus.

Ieee access invites manuscript submissions in the area of recent advances in cloud and big data based next generation cognitive radio networks. Fortunately the advent of cloud computing has the potential to mitigate these constraints due its vast storage and computational capacity. Crns are capable of adaptive learning and reconfiguration to provide consistent communications in dynamic environments. In this paper we propose secure radio resource management algorithm for crn where cloud computing unit stores the spectrum occupancy information of heterogeneous wireless networks in crn and facilitates the access of spectrum opportunities for secondary users.

The proposed model eliminates the current problems in transmission of. To meet the consequences a new model called cognitive radio networks with cloud crnc is introduced in this research.