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On Securing Cognitive Radio Networks-Enabled SWIPT Over Cascaded $\kappa$-$\mu$ Fading Channels With Multiple Eavesdroppers
- Source :
- IEEE Transactions on Vehicular Technology. 71:478-488
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
-
Abstract
- In this paper, the physical-layer security (PLS for an underlay cognitive radio network (CRN with multiple non colluding eavesdroppers is studied. We assume that a secondary user (SU transmitter communicates with an SU receiver over a cascaded -fading channel and under the threat of eavesdropping. A cooperative jammer exists to improve the SUs security by harvesting energy from the SU transmitter using power splitting technique. This harvested energy is utilized to generate jamming signals to deteriorate the eavesdroppers reception quality. Moreover, the eavesdroppers are assumed to be randomly distributed according to a homogeneous Poisson point process (HPPP, in which the kth closest eavesdropper to the SU transmitter will be selected in our analysis. Additionally, the legitimate receiver is assumed to harvest energy from the SU transmitter using power splitting technique. In this context, we propose an optimum power splitting factor at the legitimate receiver that achieves the best privacy while constraining the amount of the harvested energy. Furthermore, on enhancing system security, we investigate the effectiveness of the jamming technique. The impact of distances over security is also examined. The results reveal an improvement in privacy as the legitimate receiver utilizes the adaptable power splitting factor. PLS is evaluated in terms of the probability of non-zero secrecy capacity and the intercept probability.
- Subjects :
- Computer Networks and Communications
Computer science
business.industry
Transmitter
Aerospace Engineering
020302 automobile design & engineering
Context (language use)
Jamming
Eavesdropping
02 engineering and technology
Power (physics)
Cognitive radio
0203 mechanical engineering
Automotive Engineering
Fading
Electrical and Electronic Engineering
business
Energy (signal processing)
Computer network
Subjects
Details
- ISSN :
- 19399359 and 00189545
- Volume :
- 71
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Vehicular Technology
- Accession number :
- edsair.doi...........132b1512dde654f13d2f91d5ab518f91