Primary User Authentication in Cognitive Radio Network using Signal Properties

ABSTRACT

Cognitive Radio (CR) is an emerging radio mechanism that dynamically adjusts its radio parameters, so as to utilize the unused spectrum bands (spectrum holes) to overcome the spectrum shortage problem. The wireless devices are increasing enormously and leading to the problem of spectrum shortage. In CR, the available free spectrum is allocated to unlicensed users (Secondary Users) but not by disrupting the communications of licensed users (Primary Users). Hence, it is essential to distinguish the signals of Primary Users (PUs) from that of Secondary Users (SUs) at physical layer, without understanding the data in the signal. In this paper we proposed an algorithm to authenticate PUs at physical layer in Cognitive Radio Network (CRN), using signal properties like Angle of Arrival (AoA) and its distance. The proposed algorithm is simulated in Matlab and its performance is evaluated and is found to be efficient in simulated environment.

References

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Index Terms

• Hardware

  • Communication hardware, interfaces and storage

    • Signal processing systems

• Networks

  • Network types

    • Mobile networks

    • Wireless access networks

• Security and privacy

  • Security services

    • Authentication