Performance metrics in cognitive radio networks
Other Title(s)
مقاييس الأداء في شبكات الراديو المعرفية
Author
Source
Al-Mukhtar Journal of Sciences
Issue
Vol. 36, Issue 1 (31 Mar. 2021), pp.73-79, 7 p.
Publisher
Publication Date
2021-03-31
Country of Publication
Libya
No. of Pages
7
Main Subjects
Telecommunications Engineering
Abstract EN
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 us-ers (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 an-alytical 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 lo-cated, and the threshold value λ used in the decision rule.
also, there are boundaries for the λ choic-es that cannot be overtaken.
American Psychological Association (APA)
Ammar, Mahmud Ali. 2021. Performance metrics in cognitive radio networks. Al-Mukhtar Journal of Sciences،Vol. 36, no. 1, pp.73-79.
https://search.emarefa.net/detail/BIM-1324743
Modern Language Association (MLA)
Ammar, Mahmud Ali. Performance metrics in cognitive radio networks. Al-Mukhtar Journal of Sciences Vol. 36, no. 1 (2021), pp.73-79.
https://search.emarefa.net/detail/BIM-1324743
American Medical Association (AMA)
Ammar, Mahmud Ali. Performance metrics in cognitive radio networks. Al-Mukhtar Journal of Sciences. 2021. Vol. 36, no. 1, pp.73-79.
https://search.emarefa.net/detail/BIM-1324743
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 77-78
Record ID
BIM-1324743