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LIU Xuemin, QIAN Yuwen, SONG Yaoliang, SHU Feng, CHEN Kuiyu, ZHU Jiewei. An Intelligent Reflecting Surface Assisted Covert Communication System with a Cooperative Unmanned Aerial Vehicle[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240663
Citation: LIU Xuemin, QIAN Yuwen, SONG Yaoliang, SHU Feng, CHEN Kuiyu, ZHU Jiewei. An Intelligent Reflecting Surface Assisted Covert Communication System with a Cooperative Unmanned Aerial Vehicle[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240663

An Intelligent Reflecting Surface Assisted Covert Communication System with a Cooperative Unmanned Aerial Vehicle

doi: 10.11999/JEIT240663
Funds:  The Key Special Project of “Intergovernmental International Scientific and Technological Innovation Cooperation” in the National Key Research and Development Program (2022YFE0122300)
  • Received Date: 2024-07-29
  • Rev Recd Date: 2024-12-02
  • Available Online: 2024-12-09
  • Covert communication is considered an important branch in the field of network security, which allows for secure data transmission in monitored environments. However, challenges such as complex communication environments and wide coverage areas are encountered in practical communication systems, making the deployment of covert communication difficult. To address this issue, a wireless covert communication system assisted by Intelligent Reflective Surfaces (IRS) and Unmanned Aerial Vehicle (UAV) is proposed in this paper. In this system, IRS is introduced as relay node to forward signals from the transmitter. UAV is utilized as a friendly node for the transmitter, and artificial noise is transmitted to disrupt malicious users’ detection of covert communication. Under the condition of receiver uncertainty regarding the received noise, the minimum error detection probability is derived, and the optimization problem of the system is established with the objective of maximizing the covert communication rate while considering interruption probability as a constraint. The Dinkelbach algorithm is employed to solve the optimization problem. Simulation results demonstrate that the maximum covert communication rate can be achieved when the phase shift of the IRS elements and the UAV’s transmission power are optimized.
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