Resource Allocation and Trajectory Design in UAV-Assisted Jamming Wideband Cognitive Radio Networks
Yuhao Wang, Long Chen, Yifan Zhou, Xiaodong Liu, Fuhui Zhou, Naofal Al‐Dhahir
Abstract
The secure performance of wideband cognitive radio networks (CRNs) with OFDMA (orthogonal frequency-division multiple access) achieved by using physical layer security is low due to the severe channel fading and the limit transmit power of the secondary base station (SBS). To improve the secure performance, an unmanned aerial vehicle (UAV) assisted jamming wideband CRNs is studied where a UAV transmits the jamming signal to interfere with the eavesdropper (Eve) and the SBS provides communication services for the secondary users (SUs) over multiple sub-carrier channels. The total average secrecy rate of the secondary network is maximized by jointly optimizing the sub-carrier allocation, the jamming UAV trajectory, and the transmission power of the UAV and the SBS. An alternative algorithm is proposed to solve the challenging non-convex optimization problem. Simulation results verify the efficiency of our proposed algorithm and show that UAV-assisted jamming is beneficial for improving secure performance of wideband CRNs. It is also shown that our proposed scheme outperforms the benchmark schemes in terms of the total average secrecy rate.