Joint design of beamforming and trajectory for integrated sensing and communication drone networks

Drone-aided network has drawn a significant attention due to the high flexibility and reliability it can bring to the wireless communications. In this paper, we design an integrated sensing and communication (ISAC) scheme for a drone-aided network to achieve mutual benefit of communication and sensing, where the drone detects several ground targets while communicating with a large number of ground users during the flight. We jointly optimize the beamforming and trajectory of the drone for achieving high beam gain subject to the signal to interference plus noise ratio (SINR), the transmit power and the flight speed constraints. To solve the formulated multivariate non-convex optimization problem, we propose an alternating optimization algorithm based on the Riemannian conjugate gradient (RCG). Numerical results show that the proposed method can effectively improve the sensing performance while ensuring the communication quality, and has a low computational complexity.