Bit Error Rate Performance Analysis of Cognitive Radio Network by Using Digital Modulation
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Keywords

Software Define Radio; Simulation
Electromagnetic; Cognitive Radio.

How to Cite

[1]
Notyla Mohamed Elhameem and Amin Babiker A/nbi Mustafa, “Bit Error Rate Performance Analysis of Cognitive Radio Network by Using Digital Modulation”, Tech. Horizon J., vol. 2, no. 3, pp. 72–76, Mar. 2018.
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Abstract

Cognitive radio networks (CRN) are smart networks that automatically sense the channel and adjust the network parameters accordingly. Cognitive radio is emerging technologies that enable the dynamic deployments of highly adaptive radios that are built upon Software Defined Radio (SDR) technology. The radio technology allows the unlicensed operation to be in the licensed band. The cognitive radio network paradigm raises many technical challenges such as the power efficiency, spectrum management, and environmental awareness. The aim of this paper is study, analyze, adaptive cognitive radio network using MATLAB software. The parameters which were taken into consideration of the adaptation were the type of digital modulation, signal to noise ratio and AWGN. The result was obtained in graphical for Bit Error Rate versus signal noise ratio and a modulation signal for primary signal and secondary signal users.

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References

Alexander M. Wyglinski, P.D., Maziar Nekovee, and Y. Thomas Hou, Cognitive Radio Communications and Networks Principles and Practice. British Library, 2009.

J.Mitola, G.Q.M.J., Cognitive Radio: Making software radio more personal IEEE communication, 1999. 6(4). Hamid, M., dynamic spectrum access in cognitive radio network: aspects of MAC layer sensing. Blekinge Institute of Technology, 2008.

Javed, f., Cognitive Radio Spectrum Sensing And Allocation Techniques Electrical and Computer Engineering Department Centre for Advanced Studies in Engineering, Islamabad, Pakistan 2008.

David A, S., Configurable SDR operation for cognitive radio application using GNU radio and universal software radio perioheral. Blacksburg, Virginia, 2007.

Mitola, J., Cognitive Radio architecture: the engineering foundation of radio XML. 2006.

Ghayoor Abbas Jafri, A.U.R., Muhammad Tariq Sadiq, Spectrum Sensing and Management in Cooperative Cognitive Radio. Blekinge Institute of Technology, 2011.

Frenzel, L.E., Principle of Electronics Communication System 3th edition McGraw Hill, 2008.

H, Y.P., Electronic Communication Techniques 5th edition Prentce Hall, 2004.

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