Performance Metrics in Cognitive Radio Networks

• Mahmoud Ali Ammar

  Department of Computer Engineering, University of Zawia, Zawia, Libya

  Author

In Cognitive Radio Networks (CRN), the main aim is to allow the secondary users (SUs) to identify the empty bands and use them to transmit or receive data opportunistically. Primary users (PUs) have the priority to use a channel, while the secondary users must vacant this channel once a primary user requests it. An attack known in cognitive radio networks as a Primary User Emulation Attack (PUEA) aims to prevent the SU from using the empty bands. In this paper, an analytical and experimental approach is presented to mitigate the PUEA. This approach is based on obtaining the Probability Density Functions (PDFs) of the received powers at the secondary users from malicious nodes and also from the primary transmitter in the cognitive network. Then, these obtained PDFs are used in Neyman-Pearson composite hypothesis test to measure the performance metrics (probability of false alarm and miss detection in the network). The results proved that the performance metrics were greatly influenced by the network area, where the secondary user is located, and the threshold value λ used in the decision rule. Also, there are boundaries for the λ choices that cannot be overtaken.

Akyildiz, I. F., Lee, W.-Y., Vuran, M. C., & Mohanty, S. (2006). NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey. Computer networks, 50(13), 2127-2159.

Bhattacharjeea, S. (2013). In cognitive radio networks. The International Journal for the Computer and Telecommunications, 01(36) 1387-1398 .

Buddhikot, M. M., & Ryan, K. (2005). Spectrum management in coordinated dynamic spectrum access based cellular networks. First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005.,

Cabric, D., Mishra, S. M., & Brodersen, R. W. (2004). Implementation issues in spectrum sensing for cognitive radios. Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004.,

Chen, R., & Park, J.-M. (2006). Ensuring trustworthy spectrum sensing in cognitive radio networks. 2006 1st IEEE Workshop on Networking Technologies for Software Defined Radio Networks,

Federal Communications Commission FCC. (2003). NPRM - Facilitating Opportunities for Flexible, Efficient, and Reliable Spectrum Use Employing Cognitive Radio Technologies. FCC, 03-322.

Jakimoski, G., & Subbalakshmi, K. (2008). Denial-of-service attacks on dynamic spectrum access networks. ICC Workshops-2008 IEEE International Conference on Communications Workshops,

Jin, Z., Anand, S., & Subbalakshmi, K. (2009). Detecting primary user emulation attacks in dynamic spectrum access networks. 2009 IEEE International Conference on Communications,

Mathur, C. N., & Subbalakshmi, K. (2007). Security issues in cognitive radio networks. Cognitive Networks, 25, 272-290

• PDF

Copyright (c) 2021 Mahmoud Ali Ammar

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright of the articles Published by Almukhtar Journal of Science (MJSc) is retained by the author(s), who grant MJSc a license to publish the article. Authors also grant any third party the right to use the article freely as long as its integrity is maintained and its original authors and cite MJSc as the original publisher. Also, they accept the article remains published by the MJSc website (except in the occasion of a retraction of the article).