Cloud Computing Based Cognitive Radio Networking

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.

Cloud computing based cognitive radio networking.

Cloud computing cognitive radios network security cognitive radio networks 1. 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 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. Crns are capable of adaptive learning and reconfiguration to provide consistent communications in dynamic environments.

Fortunately the advent of cloud computing has the potential to mitigate these constraints due its vast storage and computational capacity. Ieee access invites manuscript submissions in the area of recent advances in cloud and big data based next generation cognitive radio networks. To meet the consequences a new model called cognitive radio networks with cloud crnc is introduced in this research. Introduction in recent years cognitive radio network crn has become more prevalent due to the introduction of the ieee 802 22 standard which aims to promote the sharing of the unused spectrum among primary and secondary users 1.

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. Secure radio resource management in cloud computing based cognitive radio networks abstract.