Energy detectors performance evaluation for interweave cognitive radio network scenario in 5G

Abstract

Abstract With the recent advances in resource allocation methods for 5G heterogeneous networks and dynamic spectrum access, the convergence between them becomes a more prevalent topic in scientific research. By implementing cognitive functionalities in the 5G network’s nodes, its efficiency can be improved and, in addition, the integration with existing wireless standards will be smoother. To enable this, the intelligent sensors are required to achieve rigid detection accuracy. Thus, the purpose of this paper is to examine the ability of popular energy detection spectrum sensing techniques to identify the primary user’s signal in an interweave (autonomous operation of the secondary users) 5G deployment scenario. This evaluation is performed through comprehensive simulations for differing number of primary and secondary users, and for different data stream types transmitted by the primary base station.