PAPR-Aware Joint Waveform Design of UAV-enabled Integrated Sensing and Communication

Unmanned aerial vehicles (UAVs) can be regarded as reliable integrated sensing and communication (ISAC) transmitters due to their high mobility and strong line-of-sight links in upcoming sixth-generation wireless communications (6G). Since there exist inherent trade-offs between communication and sensing, their joint waveform design is an essential issue in UAV-enabled ISAC systems. However, the existing works for waveform design in UAV-enabled ISAC mainly neglect the peak-to-average power ratio (PAPR) of joint waveform designed for both communication and sensing. In this paper, we consider this signal characteristic and develop a nonconvex optimization problem to minimize the weighted sum of multiuser interference (MUI) for communication and beam pattern mismatch for sensing in UAV-enabled ISAC systems, subject to the constraints of PAPR of signal, transmit power, and ideal beam pattern approximation. To solve such a complex nonconvex problem, we propose a multivariate cyclic iterative alternating direction multiplier method (MCI-ADMM) where the original problem can be decomposed into multiple sub-problems with different variables. Experiment results show that the proposed algorithm is valid for waveform design of UAV-enabled ISAC considering PAPR.