Optimization of Jamming Power and Trajectory Design for Cooperative UAV Jammer with Imperfect Channel State Information

With the recent advent of the Internet of Things (IoT) and the rapid spread of wireless communication devices, privacy and secure communication have been of interest due to the broadcast characteristics of wireless medium. The physical-layer security is an attractive technique for various security attacks, especially to resist the security risk of decryption of the conventional cryptographic protocol-based methods. In this paper, we consider the multi-cell scenario, each of which consists of a base station and a mobile user with the aid of a cooperative unmanned aerial vehicle (UAV) jammer to mitigate eavesdropping. In order to maximize the average secrecy rate of the entire network, we propose a joint optimization method of jamming power and trajectory of the multiple cooperative UAV jammers. For practicality, the location uncertainty of all the ground nodes, yielding the channel estimation errors, is assumed. To this end, the problem formulation is proposed, whose solution is developed based on Block Coordinate Descent (BCD) method. Via the simulation results, in comparison with either trajectory or jamming power optimization, the superiority of the proposed algorithm is verified.