Quach, Xuan Truong and Tran, Hung and Uhlemann, Elisabeth and Tran, Truc Mai (2020) Secrecy Performance of Cooperative Cognitive Radio Networks Under Joint Secrecy Outage and Primary User Interference Constraints. IEEE Access, 8 . 18442 -18442. ISSN ISSN: 2169-3536
|
PDF
Download (5MB) | Preview |
Abstract
In this paper, we investigate the secrecy performance of a Cooperative Cognitive Radio Network (CCRN) in the presence of an eavesdropper (EAV). The secondary users (SUs) are subject to three constraints which include peak transmit power level and interference limitation with respect to the primary user (PU) as well as secrecy outage constraints due to the EAV. Secrecy outage is achieved when the EAV cannot decode the targeted signal, but communications in the secondary network is still possible (non-zero capacity exists). Approximation expressions of the secrecy outage probability and the probability of non-zero secrecy capacity are derived to evaluate the secrecy performance. Monte Carlo simulations are provided to examine the accuracy of the derived approximation expressions. Based on this, power allocation policies for the SUs are derived, satisfying all the constraints while maximizing the secrecy performance as well as the quality of service performance of the secondary network. It can be concluded that with knowledge of the channel state information (CSI) of the EAV it is possible to calculate the optimal value for the secrecy outage threshold of the secondary user (SU) which in turn allows maximizing the secrecy performance. Most interestingly, our numerical results illustrate that the secrecy performance of the system is much improved when the parameters obtained using the CSI of the EAV are calculated optimally. Thence, the system can adjust the power allocation so that no eavesdropping occurs even without reducing quality of service (QoS) performance compared to a network without any EAV.
| Item Type: | Article |
|---|---|
| Subjects: | Information Technology (IT) Scopus-indexed journals ISI-indexed journals |
| Divisions: | Faculty of Information Technology (FIT) |
| Depositing User: | Trần Trúc Mai |
| Date Deposited: | 10 Jul 2020 15:05 |
| Last Modified: | 21 Dec 2020 09:36 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/3995 |
Actions (login required)
 |
View Item |
